ABCD Study publications are authored by ABCD investigators, collaborators, and non-ABCD researchers. The analysis methodologies, findings, and interpretations expressed in these publications are those of the authors and do not constitute an endorsement by the ABCD Study®.

Please note that the publications listed here include empirical as well as non-empirical papers (e.g., focused review articles, editorials).

Showing 1057 results
Read
More
Title Journal Authors Year Details
Toggle Adherence to 24-Hour Movement Recommendations and Health Indicators in Early Adolescence: Cross-Sectional and Longitudinal Associations in the Adolescent Brain Cognitive Development Study. The Journal of adolescent health : official publication of the Society for Adolescent Medicine Fung H, Yeo BTT, Chen C, et al. 2022
PubMed Record

Abstract

Adherence to 24-hour movement guidelines of ≥60 minutes of physical activity, ≤2 hours of screen time, and 9-11 hours of sleep has been shown to benefit cognitive, physical, and psychosocial health in children and young adolescents aged 5-13 years. However, these findings have mostly been based on cross-sectional studies or relatively small samples and the associations between adherence to guidelines and brain structure remain to be evaluated.

Journal

The Journal of adolescent health : official publication of the Society for Adolescent Medicine

Published

2022/12/15

Authors

Fung H, Yeo BTT, Chen C, Lo JC, Chee MWL, Ong JL

Keywords

Adolescents, BMI, Brain morphometry, Children, Cognition, Movement behaviors, Physical activity, Psychosocial health, Screen time, Sleep

DOI

10.1016/j.jadohealth.2022.10.019
Toggle Access to quality health resources and environmental toxins affect the relationship between brain structure and BMI in a sample of pre and early adolescents. Frontiers in public health Adise S, Marshall AT, Kan E, et al. 2022
PubMed Record

Abstract

Environmental resources are related to childhood obesity risk and altered brain development, but whether these relationships are stable or if they have sustained impact is unknown. Here, we utilized a multidimensional index of childhood neighborhood conditions to compare the influence of various social and environmental disparities (SED) on body mass index (BMI)-brain relationships over a 2-year period in early adolescence.

Journal

Frontiers in public health

Published

2022/12/15

Authors

Adise S, Marshall AT, Kan E, Sowell ER

Keywords

adolescence, area deprivation, built environment, health policy, neighborhood deprivation, pediatric obesity, structural MRI, structural brain development

DOI

10.3389/fpubh.2022.1061049
Toggle Rare copy number variants in males and females with childhood attention-deficit/hyperactivity disorder. Molecular psychiatry Jung B, Ahn K, Justice C, et al. 2022
PubMed Record

Abstract

While childhood attention-deficit/hyperactivity disorder (ADHD) is more prevalent in males than females, genetic contributors to this effect have not been established. Here, we explore sex differences in the contribution of common and/or rare genetic variants to ADHD. Participants were from the Adolescent Brain and Cognitive Development study (N = 1253 youth meeting DSM-5 criteria for ADHD [mean age = 11.46 years [SD = 0.87]; 31% female] and 5577 unaffected individuals [mean age = 11.42 years [SD = 0.89]; 50% female], overall 66% White, non-Hispanic (WNH), 19% Black/African American, and 15% other races. Logistic regression tested for interactions between sex (defined genotypically) and both rare copy number variants (CNV) and polygenic (common variant) risk in association with ADHD. There was a significant interaction between sex and the presence of a CNV deletion larger than 200 kb, both in the entire cohort (β = -0.74, CI = [-1.27 to -0.20], FDR-corrected p = 0.048) and, at nominal significance levels in the WNH ancestry subcohort (β = -0.86, CI = [-1.51 to -0.20], p = 0.010). Additionally, the number of deleted genes interacted with sex in association with ADHD (whole cohort. β = -0.13, CI = [-0.23 to -0.029], FDR-corrected p = 0.048; WNH. β = -0.17, CI = [-0.29 to -0.050], FDR-corrected p = 0.044) as did the total length of CNV deletions (whole cohort. β = -0.12, CI = [-0.19 to -0.044], FDR-corrected p = 0.028; WNH. β = -0.17, CI = [-0.28 to -0.061], FDR-corrected p = 0.034). This sex effect was driven by increased odds of childhood ADHD for females but not males in the presence of CNV deletions. No similar sex effect was found for CNV duplications or polygenic risk scores. The association between CNV deletions and ADHD was partially mediated by measures of cognitive flexibility. In summary, CNV deletions were associated with increased odds for childhood ADHD in females, but not males.

Journal

Molecular psychiatry

Published

2022/12/14

Authors

Jung B, Ahn K, Justice C, Norman L, Price J, Sudre G, Shaw P

Keywords

DOI

10.1038/s41380-022-01906-y
Toggle Modeling environment through a general exposome factor in two independent adolescent cohorts. Exposome Moore TM, Visoki E, Argabright ST, et al. 2022
PubMed Record

Abstract

Exposures to perinatal, familial, social, and physical environmental stimuli can have substantial effects on human development. We aimed to generate a single measure that capture’s the complex network structure of the environment (ie, exposome) using multi-level data (participant’s report, parent report, and geocoded measures) of environmental exposures (primarily from the psychosocial environment) in two independent adolescent cohorts: The Adolescent Brain Cognitive Development Study (ABCD Study,  = 11 235; mean age, 10.9 years; 47.7% females) and an age- and sex-matched sample from the Philadelphia Neurodevelopmental Cohort (PNC,  = 4993). We conducted a series of data-driven iterative factor analyses and bifactor modeling in the ABCD Study, reducing dimensionality from 348 variables tapping to environment to six orthogonal exposome subfactors and a general (adverse) exposome factor. The general exposome factor was associated with overall psychopathology ( = 0.28, 95% CI, 0.26-0.3) and key health-related outcomes: obesity (odds ratio [OR] , 1.4; 95% CI, 1.3-1.5) and advanced pubertal development (OR, 1.3; 95% CI, 1.2-1.5). A similar approach in PNC reduced dimensionality of environment from 29 variables to 4 exposome subfactors and a general exposome factor. PNC analyses yielded consistent associations of the general exposome factor with psychopathology ( = 0.15; 95% CI, 0.13-0.17), obesity (OR, 1.4; 95% CI, 1.3-1.6), and advanced pubertal development (OR, 1.3; 95% CI, 1-1.6). In both cohorts, inclusion of exposome factors greatly increased variance explained in overall psychopathology compared with models relying solely on demographics and parental education (from <4% to >38% in ABCD; from <4% to >18.5% in PNC). Findings suggest that a general exposome factor capturing multi-level environmental exposures can be derived and can consistently explain variance in youth’s mental and general health.

Journal

Exposome

Published

2022/12/14

Authors

Moore TM, Visoki E, Argabright ST, Didomenico GE, Sotelo I, Wortzel JD, Naeem A, Gur RC, Gur RE, Warrier V, Guloksuz S, Barzilay R

Keywords

allostatic load, child adolescent psychiatry, mental health, obesity, stress

DOI

10.1093/exposome/osac010
Toggle Screen Time and Obsessive-Compulsive Disorder Among Children 9-10 Years Old: A Prospective Cohort Study. The Journal of adolescent health : official publication of the Society for Adolescent Medicine Nagata JM, Chu J, Zamora G, et al. 2022
PubMed Record

Abstract

The aim of this study is to determine the prospective associations between baseline screen time and obsessive-compulsive disorder (OCD) at 2-year follow-up in a national (United States) cohort of 9- to 10-year-old children.

Journal

The Journal of adolescent health : official publication of the Society for Adolescent Medicine

Published

2022/12/12

Authors

Nagata JM, Chu J, Zamora G, Ganson KT, Testa A, Jackson DB, Costello CR, Murray SB, Baker FC

Keywords

Adolescent, Obsessive-compulsive disorder, Screen time, Video, Video game

DOI

10.1016/j.jadohealth.2022.10.023
Toggle A genetically informed Registered Report on adverse childhood experiences and mental health. Nature human behaviour Baldwin JR, Sallis HM, Schoeler T, et al. 2022
PubMed Record

Abstract

Children who experience adversities have an elevated risk of mental health problems. However, the extent to which adverse childhood experiences (ACEs) cause mental health problems remains unclear, as previous associations may partly reflect genetic confounding. In this Registered Report, we used DNA from 11,407 children from the United Kingdom and the United States to investigate gene-environment correlations and genetic confounding of the associations between ACEs and mental health. Regarding gene-environment correlations, children with higher polygenic scores for mental health problems had a small increase in odds of ACEs. Regarding genetic confounding, elevated risk of mental health problems in children exposed to ACEs was at least partially due to pre-existing genetic risk. However, some ACEs (such as childhood maltreatment and parental mental illness) remained associated with mental health problems independent of genetic confounding. These findings suggest that interventions addressing heritable psychiatric vulnerabilities in children exposed to ACEs may help reduce their risk of mental health problems.

Journal

Nature human behaviour

Published

2022/12/08

Authors

Baldwin JR, Sallis HM, Schoeler T, Taylor MJ, Kwong ASF, Tielbeek JJ, Barkhuizen W, Warrier V, Howe LD, Danese A, McCrory E, Rijsdijk F, Larsson H, Lundström S, Karlsson R, Lichtenstein P, Munafò M, Pingault JB

Keywords

DOI

10.1038/s41562-022-01482-9
Toggle Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis. Journal of the American Statistical Association Liu B, Zhang Q, Xue L, et al. 2024
PubMed Record

Abstract

It is important to develop statistical techniques to analyze high-dimensional data in the presence of both complex dependence and possible heavy tails and outliers in real-world applications such as imaging data analyses. We propose a new robust high-dimensional regression with coefficient thresholding, in which an efficient nonconvex estimation procedure is proposed through a thresholding function and the robust Huber loss. The proposed regularization method accounts for complex dependence structures in predictors and is robust against heavy tails and outliers in outcomes. Theoretically, we rigorously analyze the landscape of the population and empirical risk functions for the proposed method. The fine landscape enables us to establish both statistical consistency and computational convergence under the high-dimensional setting. We also present an extension to incorporate spatial information into the proposed method. Finite-sample properties of the proposed methods are examined by extensive simulation studies. An application concerns a scalar-on-image regression analysis for an association of psychiatric disorder measured by the general factor of psychopathology with features extracted from the task functional MRI data in the Adolescent Brain Cognitive Development (ABCD) study.

Journal

Journal of the American Statistical Association

Published

2022/12/08

Authors

Liu B, Zhang Q, Xue L, Song PX, Kang J

Keywords

Landscape analysis, Nonconvex optimization, Scalar-on-image regression, Thresholding function

DOI

10.1080/01621459.2022.2142590
Toggle Differences in cortical morphology and child internalizing or externalizing problems: Accounting for the co-occurrence. JCPP advances Zhang Y, Xu B, Kim HH, et al. 2022
PubMed Record

Abstract

Childhood internalizing and externalizing problems frequently co-occur. Many studies report neural correlates of either internalizing or externalizing problems, but few account for their co-occurrence. We aimed to assess specific cortical substrates of these psychiatric problems.

Journal

JCPP advances

Published

2022/12/07

Authors

Zhang Y, Xu B, Kim HH, Muetzel R, Delaney SW, Tiemeier H

Keywords

adolescence, comorbidity, externalizing disorder, internalizing disorder, neuroimaging

DOI

10.1002/jcv2.12114
Toggle Morphometric dis-similarity between cortical and subcortical areas underlies cognitive function and psychiatric symptomatology: a preadolescence study from ABCD. Molecular psychiatry Wu X, Palaniyappan L, Yu G, et al. 2022
PubMed Record

Abstract

Preadolescence is a critical period characterized by dramatic morphological changes and accelerated cortico-subcortical development. Moreover, the coordinated development of cortical and subcortical regions underlies the emerging cognitive functions during this period. Deviations in this maturational coordination may underlie various psychiatric disorders that begin during preadolescence, but to date these deviations remain largely uncharted. We constructed a comprehensive whole-brain morphometric similarity network (MSN) from 17 neuroimaging modalities in a large preadolescence sample (N = 8908) from Adolescent Brain Cognitive Development (ABCD) study and investigated its association with 10 cognitive subscales and 27 psychiatric subscales or diagnoses. Based on the MSNs, each brain was clustered into five modules with distinct cytoarchitecture and evolutionary relevance. While morphometric correlation was positive within modules, it was negative between modules, especially between isocortical and paralimbic/subcortical modules; this developmental dissimilarity was genetically linked to synapse and neurogenesis. The cortico-subcortical dissimilarity becomes more pronounced longitudinally in healthy children, reflecting developmental differentiation of segregated cytoarchitectonic areas. Higher cortico-subcortical dissimilarity (between the isocortical and paralimbic/subcortical modules) were related to better cognitive performance. In comparison, children with poor modular differentiation between cortex and subcortex displayed higher burden of externalizing and internalizing symptoms. These results highlighted cortical-subcortical morphometric dissimilarity as a dynamic maturational marker of cognitive and psychiatric status during the preadolescent stage and provided insights into brain development.

Journal

Molecular psychiatry

Published

2022/12/06

Authors

Wu X, Palaniyappan L, Yu G, Zhang K, Seidlitz J, Liu Z, Kong X, Schumann G, Feng J, Sahakian BJ, Robbins TW, Bullmore E, Zhang J

Keywords

DOI

10.1038/s41380-022-01896-x
Toggle An Update on NIH Programs Relevant to Child Brain Health Research: ECHO, ABCD, HBCD, and MIRA. Journal of neurosurgical anesthesiology Price JC, Lee JJ, Saraiya N, et al. 2022
PubMed Record

Abstract

Journal

Journal of neurosurgical anesthesiology

Published

2022/12/06

Authors

Price JC, Lee JJ, Saraiya N, Lei S, Mintz CD

Keywords

DOI

10.1097/ANA.0000000000000875
Toggle Relating neighborhood deprivation to childhood obesity in the ABCD study: Evidence for theories of neuroinflammation and neuronal stress. Health psychology : official journal of the Division of Health Psychology, American Psychological Association Adise S, Marshall AT, Kan E, et al. 2022
PubMed Record

Abstract

We evaluated whether relationships between area deprivation (ADI), body mass index (BMI) and brain structure (e.g., cortical thickness, subcortical volume) during preadolescence supported the immunologic model of self-regulation failure (NI) and/or neuronal stress (NS) theories of overeating. The NI theory proposes that ADI causes structural alteration in the brain due to the neuroinflammatory effects of overeating unhealthy foods. The NS theory proposes that ADI-related stress negatively impacts brain structure, which causes stress-related overeating and subsequent obesity.

Journal

Health psychology : official journal of the Division of Health Psychology, American Psychological Association

Published

2022/12/05

Authors

Adise S, Marshall AT, Kan E, Gonzalez MR, Sowell ER

Keywords

DOI

10.1037/hea0001250
Toggle Associations between socioeconomic gradients and racial disparities in preadolescent brain outcomes. Pediatric research Isaiah A, Ernst TM, Liang H, et al. 2022
PubMed Record

Abstract

The aim of this study was to determine the extent to which socioeconomic characteristics of the home and neighborhood are associated with racial inequalities in brain outcomes.

Journal

Pediatric research

Published

2022/12/01

Authors

Isaiah A, Ernst TM, Liang H, Ryan M, Cunningham E, Rodriguez PJ, Menken M, Kaschak D, Guihen C, Reeves G, Lever N, Edwards SM, Chang L

Keywords

DOI

10.1038/s41390-022-02399-9
Toggle Association of Mental Health Burden With Prenatal Cannabis Exposure From Childhood to Early Adolescence: Longitudinal Findings From the Adolescent Brain Cognitive Development (ABCD) Study. JAMA pediatrics Baranger DAA, Paul SE, Colbert SMC, et al. 2022
PubMed Record

Abstract

Journal

JAMA pediatrics

Published

2022/12/01

Authors

Baranger DAA, Paul SE, Colbert SMC, Karcher NR, Johnson EC, Hatoum AS, Bogdan R

Keywords

DOI

10.1001/jamapediatrics.2022.3191
Toggle The combination of autism and exceptional cognitive ability is associated with suicidal ideation. Neurobiology of learning and memory Casten LG, Thomas TR, Doobay AF, et al. 2022
PubMed Record

Abstract

Autism with co-occurring exceptional cognitive ability is often accompanied by severe internalizing symptoms and feelings of inadequacy. Whether cognitive ability also translates into greater risk for suicidal ideation is unclear. To investigate this urgent question, we examined two samples of high-ability autistic individuals for factors that were predictive of suicidal ideation. In the first sample (N = 1,074 individuals seen at a clinic specializing in gifted/talented youth), we observed a striking excess of parent-reported suicidal ideation in autistic individuals with IQ ≥ 120 (Odds Ratio = 5.9, p=0.0007). In a separate sample of SPARK participants, we confirmed higher rates of suicidal thoughts compared to non-autistic children from the ABCD cohort (combined N = 16,049, Odds Ratio = 6.8, p<2.2e-16), and further that autistic children with suicidal thoughts had significantly higher cognitive ability (p<2.2e-16) than those without. Elevated polygenic scores (PGS) for cognitive performance were associated with increased suicidal thoughts (N = 1,983, Z=2.16,p=0.03), with PGS for educational attainment trending in the same direction (Z=1.4,p=0.17). Notably, similar results were found in parents of these autistic youth, where higher PGS for educational attainment was associated with increasing thoughts of suicide (N = 736, Z=2.28,p=0.02). Taken together, these results suggest that on a phenotypic and genetic level, increasing cognitive ability is an unexpected risk factor for suicidal ideation in individuals diagnosed with, or at risk for autism.

Journal

Neurobiology of learning and memory

Published

2022/11/28

Authors

Casten LG, Thomas TR, Doobay AF, Foley-Nicpon M, Kramer S, Nickl-Jockschat T, Abel T, Assouline S, Michaelson JJ

Keywords

Autism, Cognition, Genetics, Intelligence, Mental health, Polygenic scores, Psychiatry, Suicide, Twice-exceptional

DOI

10.1016/j.nlm.2022.107698
Toggle Maternal age at birth and child attention-deficit hyperactivity disorder: causal association or familial confounding? Journal of child psychology and psychiatry, and allied disciplines Baker BH, Joo YY, Park J, et al. 2022
PubMed Record

Abstract

Causal explanations for the association of young motherhood with increased risk for child attention-deficit hyperactivity disorder (ADHD) remain unclear.

Journal

Journal of child psychology and psychiatry, and allied disciplines

Published

2022/11/28

Authors

Baker BH, Joo YY, Park J, Cha J, Baccarelli AA, Posner J

Keywords

Attention-deficit hyperactivity disorder, environmental exposures, epidemiology, genetics, teenage mothers

DOI

10.1111/jcpp.13726
Toggle Twin study of caffeine use, ADHD, and disrupted sleep in ABCD youth. Health psychology : official journal of the Division of Health Psychology, American Psychological Association Dash GF, Carter E, Karalunas SL, et al. 2022
PubMed Record

Abstract

Evidence suggests that caffeine use disproportionately impacts sleep functioning among youth with attention-deficit/hyperactivity disorder (ADHD). The present study aimed to examine the association of caffeine use with disrupted sleep, and to test moderating effects of ADHD, by leveraging differences within twin pairs to explore potential quasi-causal (i.e., within-pair) effects.

Journal

Health psychology : official journal of the Division of Health Psychology, American Psychological Association

Published

2022/11/28

Authors

Dash GF, Carter E, Karalunas SL, Hudson KA, Fair D, Feldstein Ewing SW

Keywords

DOI

10.1037/hea0001252
Toggle Adverse childhood experiences and early adolescent cyberbullying in the United States. Journal of adolescence Nagata JM, Trompeter N, Singh G, et al. 2022
PubMed Record

Abstract

With the increasing use of social media and online platforms among adolescents, the relationship between traumatic life events and cyberbullying remains unclear. This study aimed to determine the associations between adverse childhood experiences (ACEs) and cyberbullying victimization among a racially/ethnically and socioeconomically diverse sample of early adolescents.

Journal

Journal of adolescence

Published

2022/11/28

Authors

Nagata JM, Trompeter N, Singh G, Raney J, Ganson KT, Testa A, Jackson DB, Murray SB, Baker FC

Keywords

adolescents, adverse childhood experiences, cyberbullying, pediatrics, screen time

DOI

10.1002/jad.12124
Toggle A multidimensional approach to understanding the emergence of sex differences in internalizing symptoms in adolescence. Developmental cognitive neuroscience Serio B, Kohler R, Ye F, et al. 2022
PubMed Record

Abstract

Women are more vulnerable to internalizing disorders (e.g., depression and anxiety). This study took an integrative developmental approach to investigate multidimensional factors associated with the emergence of sex differences in internalizing symptoms, using data from the Adolescent Brain Cognitive Development (ABCD) study. Indices of sex hormone levels (dehydroepiandrosterone, testosterone, and estradiol), physical pubertal development, task-based functional brain activity, family conflict, and internalizing symptoms were drawn from the ABCD study’s baseline sample (9- to 10-year-old; N = 11,844). Principal component analysis served as a data-driven dimensionality reduction technique on the internalizing subscales to yield a single robust measure of internalizing symptoms. Moderated mediation analyses assessed whether associations between known risk factors and internalizing symptoms vary by sex. Results revealed direct and indirect effects of physical pubertal development on internalizing symptoms through family conflict across sexes. No effects were found of sex hormone levels or amygdala response to fearful faces on internalizing symptoms. Females did not report overall greater internalizing symptoms relative to males, suggesting that internalizing symptoms have not yet begun to increase in females at this age. Findings provide an essential baseline for future longitudinal research on the endocrine, neurocognitive, and psychosocial factors associated with sex differences in internalizing symptoms.

Journal

Developmental cognitive neuroscience

Published

2022/11/28

Authors

Serio B, Kohler R, Ye F, Lichenstein SD, Yip SW

Keywords

Adolescence, Hormones, Internalizing symptoms, Neurodevelopment, Puberty, Sex differences

DOI

10.1016/j.dcn.2022.101182
Toggle Recommendations for Identifying Valid Wear for Consumer-Level Wrist-Worn Activity Trackers and Acceptability of Extended Device Deployment in Children. Sensors (Basel, Switzerland) Wing D, Godino JG, Baker FC, et al. 2022
PubMed Record

Abstract

Self-reported physical activity is often inaccurate. Wearable devices utilizing multiple sensors are now widespread. The aim of this study was to determine acceptability of Fitbit Charge HR for children and their families, and to determine best practices for processing its objective data.

Journal

Sensors (Basel, Switzerland)

Published

2022/11/26

Authors

Wing D, Godino JG, Baker FC, Yang R, Chevance G, Thompson WK, Reuter C, Bartsch H, Wilbur A, Straub LK, Castro N, Higgins M, Colrain IM, de Zambotti M, Wade NE, Lisdahl KM, Squeglia LM, Ortigara J, Fuemmeler B, Patrick K, Mason MJ, Tapert SF, Bagot KS

Keywords

Fitbit, children, consumer wearables, physical activity

DOI

10.3390/s22239189
Toggle Variability in Cognitive Task Performance in Early Adolescence Is Associated With Stronger Between-Network Anticorrelation and Future Attention Problems. Biological psychiatry global open science Chang SE, Lenartowicz A, Hellemann GS, et al. 2022
PubMed Record

Abstract

Intraindividual variability (IIV) during cognitive task performance is a key behavioral index of attention and a consistent marker of attention-deficit/hyperactivity disorder. In adults, lower IIV has been associated with anticorrelation between the default mode network (DMN) and dorsal attention network (DAN)-thought to underlie effective allocation of attention. However, whether these behavioral and neural markers of attention are 1) associated with each other and 2) can predict future attention-related deficits has not been examined in a developmental, population-based cohort.

Journal

Biological psychiatry global open science

Published

2022/11/26

Authors

Chang SE, Lenartowicz A, Hellemann GS, Uddin LQ, Bearden CE

Keywords

ABCD Study, Adolescence, Attention, Neurocognitive performance, Resting-state functional connectivity

DOI

10.1016/j.bpsgos.2022.11.003
Toggle Association between Asthma and Suicidality in 9-12-Year-Old Youths. Brain sciences Hoffman KW, Visoki E, Argabright ST, et al. 2022
PubMed Record

Abstract

Suicidal ideation and attempts in youth are a growing health concern, and more data are needed regarding their biological underpinnings. Asthma is a common chronic inflammatory disorder in youth and has been associated with suicidal ideation and attempts in adolescent and adult populations, but data in younger children and early adolescents are lacking. We wished to study associations of asthma with childhood suicidality considering asthma’s potential as a clinically relevant model for childhood chronic immune dysregulation.

Journal

Brain sciences

Published

2022/11/23

Authors

Hoffman KW, Visoki E, Argabright ST, Schultz LM, Didomenico GE, Tran KT, Gordon JH, Chaiyachati BH, Moore TM, Almasy L, Barzilay R

Keywords

ABCD Study, adolescents, asthma, immune dysregulation, inflammation, suicidality

DOI

10.3390/brainsci12121602
Toggle Hierarchical Modeling of Psychosocial, Parental, and Environmental Factors for Susceptibility to Tobacco Product Use in 9-10-Year-Old Children. The Journal of adolescent health : official publication of the Society for Adolescent Medicine Dai HD, Pierce J, Beseler C, et al. 2022
PubMed Record

Abstract

Tobacco use during early adolescence can harm brain development and cause adverse health outcomes. Identifying susceptibility in early adolescence before initiation presents an opportunity for tobacco use prevention.

Journal

The Journal of adolescent health : official publication of the Society for Adolescent Medicine

Published

2022/11/21

Authors

Dai HD, Pierce J, Beseler C, Abadi A, Zoucha K, Johnson R, Buckley J, Ramos AK

Keywords

Early year, Nested hierarchical model, The Adolescent Brain and Cognitive Development (ABCD) study, Tobacco use susceptibility

DOI

10.1016/j.jadohealth.2022.09.021
Toggle Peer correlates of conduct problems in girls. Aggressive behavior Schiff SJ, Lee SS 2022
PubMed Record

Abstract

Conduct problems are increasingly prevalent in girls and they uniquely predict negative outcomes. Yet, few reliable risk factors for aggression and violence in girls and women have been identified. Although preliminary evidence suggests peer relationships may be central to the development of youth conduct problems, especially in girls, rigorous interactive models of peer risk and protective factors for conduct problems are lacking. Based on 3104 10-13-year-old girls in the Adolescent Brain and Cognitive Development study, we tested the independent associations of separate peer risk factors (i.e., relational aggression victimization, physical aggression victimization, and deviant peer affiliation) with multidimensional conduct problems, including their moderation by peer support. Being the victim of relational aggression, being the victim of physical aggression, and deviant peer affiliation were each positively associated with conduct problems and perpetration of aggression whereas peer support was negatively associated with youth report conduct problems and perpetration of physical aggression. Further, elevated peer support significantly attenuated the association of being the victim of relational aggression with teacher-rated conduct problems. These results highlight the sensitivity of conduct problems to peer risk factors and suggest that peer support designates important configurations of risk that differentially relate to conduct problems in girls.

Journal

Aggressive behavior

Published

2022/11/21

Authors

Schiff SJ, Lee SS

Keywords

adolescent, conduct problems, girls, peer risk, peer support

DOI

10.1002/ab.22063
Toggle Continuity versus change in latent profiles of emotion regulation and working memory during adolescence. Developmental cognitive neuroscience Huffman LG, Oshri A 2022
PubMed Record

Abstract

Significant structural and functional brain development occurs during early adolescence. These changes underlie developments in central neurocognitive processes such as working memory (WM) and emotion regulation (ER). The preponderance of studies modeling trajectories of adolescent brain development use variable-centered approaches, omitting attention to individual differences that may undergird neurobiological embedding of early life stress and attendant psychopathology. This preregistered, data-driven study used latent transition analysis (LTA) to identify (1) latent profiles of neural function during a WM and implicit ER task, (2) transitions in profiles across 24 months, and 3) associations between transitions, parental support, and subsequent psychopathology. Using two waves of data from the ABCD Study (Mage T1 = 10; Mage T2 = 12), we found three unique profiles of neural function at both T1 and T2. The Typical, Emotion Hypo-response, and Emotion-Hyper response profiles were characterized by, respectively: moderate amygdala activation and fusiform deactivation; high ACC, fusiform, and insula deactivation; and high amygdala, ACC, and insula response to ER. While 69.5 % remained in the Typical profile from T1 to T2, 27.8 % of the sample moved from one profile at T1 to another at T2. However, neither latent profiles nor transitions exhibited associations between parental support or psychopathology symptoms.

Journal

Developmental cognitive neuroscience

Published

2022/11/19

Authors

Huffman LG, Oshri A

Keywords

Adolescence, Emotion regulation, Latent Transition Analysis, Working memory

DOI

10.1016/j.dcn.2022.101177
Toggle A Deeper Dive Into the Relation Between Psychotic-like Experiences and Suicidal Ideation and Behaviors in Children Across the United States. Schizophrenia bulletin Jay SY, Schiffman J, Grattan R, et al. 2022
PubMed Record

Abstract

Children who endorse psychotic-like experiences (PLEs) appear to be at a greater risk for suicidal ideation and behavior (SI/SB) compared to their peers who do not endorse PLEs. Despite evidence of differential relations among subtypes of PLEs and SI/SB, the research on which PLE subtypes produce the strongest associations remains mixed. Further, though there is evidence that general psychological distress may help explain the relation between PLEs and SI/SB, no research has investigated the role of distress specific to PLEs in this association.

Journal

Schizophrenia bulletin

Published

2022/11/18

Authors

Jay SY, Schiffman J, Grattan R, O'Hare K, Klaunig M, DeVylder J, Karcher NR

Keywords

early intervention, prevention, psychosis-spectrum, suicide

DOI

10.1093/schbul/sbac090
Toggle Five recommendations for using large-scale publicly available data to advance health among American Indian peoples: the Adolescent Brain and Cognitive Development (ABCD) Study as an illustrative case. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology White EJ, Demuth MJ, Wiglesworth A, et al. 2022
PubMed Record

Abstract

American Indian and Alaska Native (AIAN) populations have suffered a history of exploitation and abuse within the context of mental health research and related fields. This history is rooted in assimilation policies, historical trauma, and cultural loss, and is promulgated through discrimination and disregard for traditional culture and community knowledge. In recognition of this history, it is imperative for researchers to utilize culturally sensitive approaches that consider the context of tribal communities to better address mental health issues for AIAN individuals. The public availability of data from large-scale studies creates both opportunities and challenges when studying mental health within AIAN populations. This manuscript has two goals; first, showcase an example of problematic use of Adolescent Brain Cognitive Development (ABCD) Study data to promulgate stereotypes about AIAN individuals and, second, in partnership with collaborators from Cherokee Nation, we provide five recommendations for utilizing data from publicly available datasets to advance health research in AIAN populations. Specifically, we argue for the consideration of (1) the heterogeneity of the communities represented, (2) the importance of focusing on AIAN health and well-being, (3) engagement of relevant communities and AIAN community leaders, (4) consideration of historical and ongoing injustices, and (5) engagement with AIAN regulatory agencies or review boards. These recommendations are founded on principles from broader indigenous research efforts emphasizing community-engaged research and principles of Indigenous Data Sovereignty and Governance.

Journal

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Published

2022/11/16

Authors

White EJ, Demuth MJ, Wiglesworth A, Coser AD, Garrett BA, Kominsky TK, Jernigan V, Thompson WK, Paulus M, Aupperle R

Keywords

DOI

10.1038/s41386-022-01498-9
Toggle Adverse childhood experiences and binge-eating disorder in early adolescents. Journal of eating disorders Chu J, Raney JH, Ganson KT, et al. 2022
PubMed Record

Abstract

Adverse childhood experiences (ACEs) are common and linked to negative health outcomes. Previous studies have found associations between ACEs and binge-eating disorder (BED), though they have mainly focused on adults and use cross-sectional data. The objective of this study was to examine the associations between ACEs and BED in a large, national cohort of 9-14-year-old early adolescents in the US.

Journal

Journal of eating disorders

Published

2022/11/16

Authors

Chu J, Raney JH, Ganson KT, Wu K, Rupanagunta A, Testa A, Jackson DB, Murray SB, Nagata JM

Keywords

Adolescent health, Adverse childhood experiences (ACEs), Binge-eating disorder

DOI

10.1186/s40337-022-00682-y
Toggle Mapping gene by early life stress interactions on child subcortical brain structures: A genome-wide prospective study. JCPP advances Bolhuis K, Mulder RH, de Mol CL, et al. 2022
PubMed Record

Abstract

Although it is well-established that both genetics and the environment influence brain development, they are typically examined separately. Here, we aimed to prospectively investigate the interactive effects of genetic variants-from a genome-wide approach-and early life stress (ELS) on child subcortical brain structures, and their association with subsequent mental health problems.

Journal

JCPP advances

Published

2022/11/16

Authors

Bolhuis K, Mulder RH, de Mol CL, Defina S, Warrier V, White T, Tiemeier H, Muetzel RL, Cecil CAM

Keywords

MRI, early life stress, gene-environment interaction, genome-wide association study, psychopathology

DOI

10.1002/jcv2.12113
Toggle Longitudinal impact of COVID-19 pandemic on mental health of children in the ABCD study cohort. Scientific reports Hamatani S, Hiraoka D, Makita K, et al. 2022
PubMed Record

Abstract

A large longitudinal study on the impact of the COVID-19 pandemic on mental health in children is limited. This large-scale longitudinal observational study examines the pandemic’s effects on children’s mental health while considering the effects of parental care styles. The Adolescent Brain Cognitive Development Study is a large-scale, longitudinal multicenter study in the United States. Of the 11,875 children aged 9-12 years in its database, 4702 subjects were selected for this study. The child behavior checklist and parental monitoring questionnaire (PMQ) were used to assess children’s mental health and parental support styles, respectively. Data collected before and during the pandemic were compared. Withdrawn/depressed and attention problems significantly worsened during compared to before the COVID-19 pandemic (p < 0.001, withdrawn/depressed; 53.4 ± 5.7 to 53.7 ± 5.9, attention problems; 53.4 ± 5.4 to 53.6 ± 5.6). However, the T scores are in the normal range both before and during the crisis. Simple slope analysis found withdrawn/depressed problems and aggressive behavior worsened when the PMQ was 1 SD below the mean, and rule-breaking behavior was improved when the PMQ was 1 SD above the mean. While the COVID-19 pandemic exacerbated children’s depressive symptoms and attention issues, the effects may be minor. Additionally, parental involvement serve as a protective factor for the child’s mental health even during the pandemic.

Journal

Scientific reports

Published

2022/11/15

Authors

Hamatani S, Hiraoka D, Makita K, Tomoda A, Mizuno Y

Keywords

DOI

10.1038/s41598-022-22694-z
Toggle COVID-19-related financial strain and adolescent mental health. Lancet regional health. Americas Argabright ST, Tran KT, Visoki E, et al. 2022
PubMed Record

Abstract

The COVID-19 pandemic and associated responses have induced a host of crises worldwide, including an economic recession and a global mental health crisis. The specific effects of recession on youth mental health are understudied. We aimed to examine the mechanisms by which pandemic-related financial strain may affect mental health in a diverse sample of American adolescents.

Journal

Lancet regional health. Americas

Published

2022/11/15

Authors

Argabright ST, Tran KT, Visoki E, DiDomenico GE, Moore TM, Barzilay R

Keywords

COVID-19, Child and adolescent mental health, Depression, Economic crisis, Financial strain, Stress

DOI

10.1016/j.lana.2022.100391
Toggle Cortical profiles of numerous psychiatric disorders and normal development share a common pattern. Molecular psychiatry Cao Z, Cupertino RB, Ottino-Gonzalez J, et al. 2022
PubMed Record

Abstract

The neurobiological bases of the association between development and psychopathology remain poorly understood. Here, we identify a shared spatial pattern of cortical thickness (CT) in normative development and several psychiatric and neurological disorders. Principal component analysis (PCA) was applied to CT of 68 regions in the Desikan-Killiany atlas derived from three large-scale datasets comprising a total of 41,075 neurotypical participants. PCA produced a spatially broad first principal component (PC1) that was reproducible across datasets. Then PC1 derived from healthy adult participants was compared to the pattern of CT differences associated with psychiatric and neurological disorders comprising a total of 14,886 cases and 20,962 controls from seven ENIGMA disease-related working groups, normative maturation and aging comprising a total of 17,697 scans from the ABCD Study® and the IMAGEN developmental study, and 17,075 participants from the ENIGMA Lifespan working group, as well as gene expression maps from the Allen Human Brain Atlas. Results revealed substantial spatial correspondences between PC1 and widespread lower CT observed in numerous psychiatric disorders. Moreover, the PC1 pattern was also correlated with the spatial pattern of normative maturation and aging. The transcriptional analysis identified a set of genes including KCNA2, KCNS1 and KCNS2 with expression patterns closely related to the spatial pattern of PC1. The gene category enrichment analysis indicated that the transcriptional correlations of PC1 were enriched to multiple gene ontology categories and were specifically over-represented starting at late childhood, coinciding with the onset of significant cortical maturation and emergence of psychopathology during the prepubertal-to-pubertal transition. Collectively, the present study reports a reproducible latent pattern of CT that captures interregional profiles of cortical changes in both normative brain maturation and a spectrum of psychiatric disorders. The pubertal timing of the expression of PC1-related genes implicates disrupted neurodevelopment in the pathogenesis of the spectrum of psychiatric diseases emerging during adolescence.

Journal

Molecular psychiatry

Published

2022/11/15

Authors

Cao Z, Cupertino RB, Ottino-Gonzalez J, Murphy A, Pancholi D, Juliano A, Chaarani B, Albaugh M, Yuan D, Schwab N, Stafford J, Goudriaan AE, Hutchison K, Li CR, Luijten M, Groefsema M, Momenan R, Schmaal L, Sinha R, van Holst RJ, Veltman DJ, Wiers RW, Porjesz B, Lett T, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MP, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner JH, Robinson L, Smolka MN, Walter H, Winterer J, Schumann G, Whelan R, Bhatt RR, Zhu A, Conrod P, Jahanshad N, Thompson PM, Mackey S, Garavan H

Keywords

DOI

10.1038/s41380-022-01855-6
Toggle Substance use patterns in 9 to 13-year-olds: Longitudinal findings from the Adolescent Brain Cognitive Development (ABCD) study. Drug and alcohol dependence reports Sullivan RM, Wade NE, Wallace AL, et al. 2022
PubMed Record

Abstract

Though largely substance-naïve at enrollment, a proportion of the youth in the Adolescent Brain Cognitive Development (ABCD) Study are expected to initiate substance use (SU) as they transition into later adolescence. With annual data from youth 9-13 years-old, this study aims to describe their SU patterns over time. Here, prevalence rates of use are reported, along with predicted odds of use while analyzing common risk-factors associated with youth SU.

Journal

Drug and alcohol dependence reports

Published

2022/11/15

Authors

Sullivan RM, Wade NE, Wallace AL, Tapert SF, Pelham WE, Brown SA, Cloak CC, Feldstein Ewing SW, Madden PAF, Martz ME, Ross JM, Kaiver CM, Wirtz HG, Heitzeg MM, Lisdahl KM

Keywords

ABCD study, Adolescence, Alcohol sipping, Children, Substance initiation, Substance use

DOI

10.1016/j.dadr.2022.100120
Toggle Prediction of gender from longitudinal MRI data via deep learning on adolescent data reveals unique patterns associated with brain structure and change over a two-year period. Journal of neuroscience methods Bi Y, Abrol A, Fu Z, et al. 2022
PubMed Record

Abstract

Deep learning algorithms for predicting neuroimaging data have shown considerable promise in various applications. Prior work has demonstrated that deep learning models that take advantage of the data’s 3D structure can outperform standard machine learning on several learning tasks. However, most prior research in this area has focused on neuroimaging data from adults. Within the Adolescent Brain and Cognitive Development (ABCD) dataset, a large longitudinal development study, we examine structural MRI data to predict gender and identify gender-related changes in brain structure. Results demonstrate that gender prediction accuracy is exceptionally high (>97%) with training epochs > 200 and that this accuracy increases with age. Brain regions identified as the most discriminative in the task under study include predominantly frontal areas and the temporal lobe. When evaluating gender predictive changes specific to a two-year increase in age, a broader set of visual, cingulate, and insular regions are revealed. Our findings show a robust gender-related structural brain change pattern, even over a small age range. This suggests that it might be possible to study how the brain changes during adolescence by looking at how these changes are related to different behavioral and environmental factors.

Journal

Journal of neuroscience methods

Published

2022/11/15

Authors

Bi Y, Abrol A, Fu Z, Chen J, Liu J, Calhoun V

Keywords

Brain Visualization, Deep Learning, Gender Classification, Structural MRI

DOI

10.1016/j.jneumeth.2022.109744
Toggle Mild Traumatic Brain Injury and Behavior and Sleep Among 9- and 10-Year Old Children: Initial Findings From the Adolescent Brain Cognitive Development (ABCD) Study. The Journal of early adolescence Sheth C, Huber RS, Renshaw PF, et al. 2022
PubMed Record

Abstract

There has been concern about the potential sequelae of mild traumatic brain injury (mTBI) in children. This study used data from the Adolescent Brain Cognitive Development (ABCD) study to investigate associations between mTBI and behavior and sleep in school-aged children. Generalized additive mixed models were run to examine the association between TBI and parent-reported Child Behavior Checklist and Sleep Disturbance Scale for Children scores. mTBI with or without loss of consciousness (LOC) in 9- and 10-year old children was associated with 1) higher internalizing, externalizing and total problems and 2) greater sleep disturbance scores on the CBCL. The study also demonstrated a higher incidence of mTBI with and without LOC in boys compared to girls. This study shows a statistically significant but modest association between mTBI and behavioral and sleep changes, suggesting that in a non-clinical, sociodemographically diverse community sample of school-aged children mTBI does not result in clinically significant behavioral or psychological sequelae.

Journal

The Journal of early adolescence

Published

2022/11/14

Authors

Sheth C, Huber RS, Renshaw PF, Yurgelun-Todd DA, McGlade EC

Keywords

Mild traumatic brain injury, mental health, school-aged children, sex differences, sleep

DOI

10.1177/02724316221117508
Toggle Caregiver monitoring, but not caregiver warmth, is associated with general cognition in two large sub-samples of youth. Developmental science Keller AS, Mackey AP, Pines A, et al. 2022
PubMed Record

Abstract

Individual differences in cognitive abilities emerge early during development, and children with poorer cognition are at increased risk for adverse outcomes as they enter adolescence. Caregiving plays an important role in supporting cognitive development, yet it remains unclear how specific types of caregiving behaviors may shape cognition, highlighting the need for large-scale studies. In the present study, we characterized replicable yet specific associations between caregiving behaviors and cognition in two large sub-samples of children ages 9-10 years old from the Adolescent Brain Cognitive Development Study (ABCD). Across both discovery and replication sub-samples, we found that child reports of caregiver monitoring (supervision or regular knowledge of the child’s whereabouts) were positively associated with general cognition abilities, after covarying for age, sex, household income, neighborhood deprivation, and parental education. This association was specific to the type of caregiving behavior (caregiver monitoring, but not caregiver warmth), and was most strongly associated with a broad domain of general cognition (but not executive function or learning/memory). Additionally, we found that caregiver monitoring partially mediated the association between household income and cognition, furthering our understanding of how socioeconomic disparities may contribute to disadvantages in cognitive development. Together, these findings underscore the influence of differences in caregiving behavior in shaping youth cognition. RESEARCH HIGHLIGHTS: Caregiver monitoring, but not caregiver warmth, is associated with cognitive performance in youth Caregiver monitoring partially mediates the association between household income and cognition Results replicated across two large matched samples from the Adolescent Brain Cognitive Development Study (ABCD).

Journal

Developmental science

Published

2022/11/11

Authors

Keller AS, Mackey AP, Pines A, Fair D, Feczko E, Hoffmann MS, Salum GA, Barzilay R, Satterthwaite TD

Keywords

ABCD, caregiving, cognition, monitoring, socioeconomic status, warmth

DOI

10.1111/desc.13337
Toggle Genetic and Environmental Variation in Continuous Phenotypes in the ABCD Study®. Behavior genetics Maes HHM, Lapato DM, Schmitt JE, et al. 2022
PubMed Record

Abstract

Twin studies yield valuable insights into the sources of variation, covariation and causation in human traits. The ABCD Study® (abcdstudy.org) was designed to take advantage of four universities known for their twin research, neuroimaging, population-based sampling, and expertise in genetic epidemiology so that representative twin studies could be performed. In this paper we use the twin data to: (i) provide initial estimates of heritability for the wide range of phenotypes assessed in the ABCD Study using a consistent direct variance estimation approach, assuring that both data and methodology are sound; and (ii) provide an online resource for researchers that can serve as a reference point for future behavior genetic studies of this publicly available dataset. Data were analyzed from 772 pairs of twins aged 9-10 years at study inception, with zygosity determined using genotypic data, recruited and assessed at four twin hub sites. The online tool provides twin correlations and both standardized and unstandardized estimates of additive genetic, and environmental variation for 14,500 continuously distributed phenotypic features, including: structural and functional neuroimaging, neurocognition, personality, psychopathology, substance use propensity, physical, and environmental trait variables. The estimates were obtained using an unconstrained variance approach, so they can be incorporated directly into meta-analyses without upwardly biasing aggregate estimates. The results indicated broad consistency with prior literature where available and provided novel estimates for phenotypes without prior twin studies or those assessed at different ages. Effects of site, self-identified race/ethnicity, age and sex were statistically controlled. Results from genetic modeling of all 53,172 continuous variables, including 38,672 functional MRI variables, will be accessible via the user-friendly open-access web interface we have established, and will be updated as new data are released from the ABCD Study. This paper provides an overview of the initial results from the twin study embedded within the ABCD Study, an introduction to the primary research domains in the ABCD study and twin methodology, and an evaluation of the initial findings with a focus on data quality and suitability for future behavior genetic studies using the ABCD dataset. The broad introductory material is provided in recognition of the multidisciplinary appeal of the ABCD Study. While this paper focuses on univariate analyses, we emphasize the opportunities for multivariate, developmental and causal analyses, as well as those evaluating heterogeneity by key moderators such as sex, demographic factors and genetic background.

Journal

Behavior genetics

Published

2022/11/10

Authors

Maes HHM, Lapato DM, Schmitt JE, Luciana M, Banich MT, Bjork JM, Hewitt JK, Madden PA, Heath AC, Barch DM, Thompson WK, Iacono WG, Neale MC

Keywords

ABCD, Adolescence, Children, Cognition, Cognitive abilities, Environment, FAIR data, Genetics, Heritability, Neuroscience, Open science, Personality, Psychiatric disorders, Substance use, Twin

DOI

10.1007/s10519-022-10123-w
Toggle Parental knowledge/monitoring and adolescent substance use: A causal relationship? Health psychology : official journal of the Division of Health Psychology, American Psychological Association Pelham WE, Tapert SF, Gonzalez MR, et al. 2022
PubMed Record

Abstract

Many studies have shown that parental knowledge/monitoring is correlated with adolescent substance use, but the association may be confounded by the many preexisting differences between families with low versus high monitoring. We attempted to produce more rigorous evidence for a causal relation using a longitudinal design that took advantage of within-family fluctuations in knowledge/monitoring during the COVID-19 pandemic.

Journal

Health psychology : official journal of the Division of Health Psychology, American Psychological Association

Published

2022/11/10

Authors

Pelham WE, Tapert SF, Gonzalez MR, Wade NE, Lisdahl KM, Guillaume M, Marshall AT, Van Rinsveld A, Dick AS, Baker FC, Breslin FJ, Baskin-Sommers A, Sheth CS, Brown SA

Keywords

DOI

10.1037/hea0001245
Toggle Attention-deficit hyperactivity disorder symptoms and brain morphology: Examining confounding bias. eLife Dall'Aglio L, Kim HH, Lamballais S, et al. 2022
PubMed Record

Abstract

Associations between attention-deficit/hyperactivity disorder (ADHD) and brain morphology have been reported, although with several inconsistencies. These may partly stem from confounding bias, which could distort associations and limit generalizability. We examined how associations between brain morphology and ADHD symptoms change with adjustments for potential confounders typically overlooked in the literature (aim 1), and for the intelligence quotient (IQ) and head motion, which are generally corrected for but play ambiguous roles (aim 2).

Journal

eLife

Published

2022/11/09

Authors

Dall'Aglio L, Kim HH, Lamballais S, Labrecque J, Muetzel RL, Tiemeier H

Keywords

ADHD, brain structure, confounding, epidemiology, global health, neuroscience

DOI

10.7554/eLife.78002
Toggle Lower gestational age is associated with lower cortical volume and cognitive and educational performance in adolescence. BMC medicine Ma Q, Wang H, Rolls ET, et al. 2022
PubMed Record

Abstract

Gestational age (GA) is associated with later cognition and behavior. However, it is unclear how specific cognitive domains and brain structural development varies with the stepwise change of gestational duration.

Journal

BMC medicine

Published

2022/11/03

Authors

Ma Q, Wang H, Rolls ET, Xiang S, Li J, Li Y, Zhou Q, Cheng W, Li F

Keywords

Cognitive performance, Cortical structure, Gestational age, Longitudinal development, Neuroimaging

DOI

10.1186/s12916-022-02627-3
Toggle Prenatal Caffeine Exposure Is Linked to Elevated Sugar Intake and BMI, Altered Reward Sensitivity, and Aberrant Insular Thickness in Adolescents: An ABCD Investigation. Nutrients Agarwal K, Manza P, Tejeda HA, et al. 2022
PubMed Record

Abstract

Prenatal caffeine exposure (PCE) has been positively associated with elevated body mass index (BMI) in children. Why this association occurs is unclear, but it is possible that PCE alters the in utero development of brain structures associated with food preference, leading to more total sugar intake (TSI, grams) later in childhood. To test this hypothesis, we investigated if PCE (daily/weekly/ 0.01) of excessive PCE (vs. no exposure) with elevated BMI (daily/weekly/daily limit; consistent in boys and girls), increased TSI (daily) and insular thickness (daily/weekly), as well as low middle frontal cortex (MFC) activation (daily). Our sub-analysis revealed an association of daily/weekly PCE (vs. no exposure) with increased gram sugar intake from soft drinks. We also identified a positive relationship of excessive PCE with elevated TSI and increased insular thickness (a key gustatory region), while in a Sobel test, reward sensitivity (reduced brain reactivity to reward anticipation in MFC; tracks reward outcomes) mediated (Test statistic = 2.23; p = 0.02) the PCE-linked BMI changes in adolescents. Our findings suggest that excessive PCE might be detrimental to frontal lobe development and altered reward sensitivity to food, thereby increasing risk for elevated TSI and obesity. Our results support recommendations to limit caffeine intake during pregnancy.

Journal

Nutrients

Published

2022/11/03

Authors

Agarwal K, Manza P, Tejeda HA, Courville AB, Volkow ND, Joseph PV

Keywords

body mass index, prenatal caffeine exposure, reward sensitivity, taste processing, total sugar intake

DOI

10.3390/nu14214643
Toggle Poverty, Cortical Structure, and Psychopathologic Characteristics in Adolescence. JAMA network open Kim HH, McLaughlin KA, Chibnik LB, et al. 2022
PubMed Record

Abstract

Childhood poverty has been associated with increased internalizing and externalizing problems in adolescence, a period of peak onset for psychiatric problems. The underlying neural mechanisms remain unclear because longitudinal studies of poverty, brain structure, and changes in psychiatric symptoms are lacking.

Journal

JAMA network open

Published

2022/11/01

Authors

Kim HH, McLaughlin KA, Chibnik LB, Koenen KC, Tiemeier H

Keywords

DOI

10.1001/jamanetworkopen.2022.44049
Toggle Biopsychosocial Attributes of Single-region and Multi-region Body Pain During Early Adolescence: Analysis of the ABCD Cohort. The Clinical journal of pain Senger-Carpenter T, Scott EL, Marriott DJ, et al. 2022
PubMed Record

Abstract

Multi-region pain during adolescence is associated with a higher symptom burden and lower quality of life. The purpose of this study was to describe and compare the biopsychosocial attributes of single-region and multi-region pain among healthy young adolescents.

Journal

The Clinical journal of pain

Published

2022/11/01

Authors

Senger-Carpenter T, Scott EL, Marriott DJ, Lenko R, Seng J, Ploutz-Snyder R, Robinson-Lane SG, Cofield C, Chen B, Voepel-Lewis T

Keywords

DOI

10.1097/AJP.0000000000001069
Toggle Reward sensitivity and internalizing symptoms during the transition to puberty: An examination of 9-and 10-year-olds in the ABCD Study. Developmental cognitive neuroscience McNeilly EA, Saragosa-Harris NM, Mills KL, et al. 2022
PubMed Record

Abstract

Early pubertal timing has been linked to increased risk for internalizing psychopathology in adolescents. Work in older adolescents and adults suggests that heightened reward sensitivity may buffer risk for internalizing symptoms. However, few studies have investigated these associations during the early transition to puberty, a window of vulnerability to mental health risk. In this preregistered study, we investigated the associations among pubertal timing, internalizing symptoms, and reward sensitivity in a large, population-based sample of 11,224 9-10 year-olds from the ABCD Study®. Using split-half analysis, we tested for within-sample replications of hypothesized effects across two age- and sex-matched subsets of the sample. Early pubertal timing was associated with higher internalizing symptoms in female and male participants across samples, with 9-10 year-olds in the mid-pubertal stage at the highest risk for internalizing symptoms. Additionally, early pubertal timing was robustly associated with greater self-reported reward sensitivity in both female and male participants. We observed inconsistent evidence for a moderating role of reward sensitivity across measurement domains (self-report, behavioral, and fMRI data), several of which differed by sex, but none of these interactions replicated across samples. Together, these findings provide unique insights into early indicators of risk for internalizing psychopathology during the transition to puberty in a large, population-based, demographically diverse sample of youth.

Journal

Developmental cognitive neuroscience

Published

2022/10/31

Authors

McNeilly EA, Saragosa-Harris NM, Mills KL, Dahl RE, Magis-Weinberg L

Keywords

ABCD Study, Internalizing, Puberty, Reward, Split-half analysis

DOI

10.1016/j.dcn.2022.101172
Toggle Sex differences in regional gray matter density in pre-adolescent binge eating disorder: a voxel-based morphometry study. Psychological medicine Murray SB, Diaz-Fong JP, Duval CJ, et al. 2022
PubMed Record

Abstract

Binge eating disorder (BED) is a pernicious psychiatric disorder which is linked with broad medical and psychiatric morbidity, and obesity. While BED may be characterized by altered cortical morphometry, no evidence to date examined possible sex-differences in regional gray matter characteristics among those with BED. This is especially important to consider in children, where BED symptoms often emerge coincident with rapid gray matter maturation.

Journal

Psychological medicine

Published

2022/10/28

Authors

Murray SB, Diaz-Fong JP, Duval CJ, Balkchyan AA, Nagata JM, Lee DJ, Ganson KT, Toga AW, Siegel SJ, Jann K

Keywords

Binge eating disorder, eating disorders, gray matter, gray matter morphology, voxel-based morphometry

DOI

10.1017/S0033291722003269
Toggle Bayesian multisource data integration for explainable brain-behavior analysis. Frontiers in neuroscience Chen R 2022
PubMed Record

Abstract

Different data sources can provide complementary information. Moving from a simple approach based on using one data source at a time to a systems approach that integrates multiple data sources provides an opportunity to understand complex brain disorders or cognitive processes. We propose a data fusion method, called Bayesian Multisource Data Integration, to model the interactions among data sources and behavioral variables. The proposed method generates representations from data sources and uses Bayesian network modeling to associate representations with behavioral variables. The generated Bayesian network is transparent and easy to understand. Bayesian inference is used to understand how the perturbation of representation is related to behavioral changes. The proposed method was assessed on the simulated data and data from the Adolescent Brain Cognitive Development study. For the Adolescent Brain Cognitive Development study, we found diffusion tensor imaging and resting-state functional magnetic resonance imaging were synergistic in understanding the fluid intelligence composite and the total score composite in healthy youth (9-11 years of age).

Journal

Frontiers in neuroscience

Published

2022/10/28

Authors

Chen R

Keywords

Bayesian inference, Bayesian network, brain-behavior analysis, data fusion, explainable AI

DOI

10.3389/fnins.2022.1044680
Toggle State-Level Recreational Cannabis Legalization Is Not Differentially Associated with Cannabis Risk Perception Among Children: A Multilevel Regression Analysis. Cannabis and cannabinoid research Gilman JM, Iyer MT, Pottinger EG, et al. 2022
PubMed Record

Abstract

As more states pass recreational cannabis laws (RCLs) for adults, there is concern that increasing (and state-sanctioned) cannabis acceptance will result in a reduced perception of risk of harm from cannabis among children. We aimed to discover whether children in states with RCLs had decreased perception of risk from cannabis compared with children in states with illicit cannabis. We analyzed data from the multisite multistate Adolescent Brain and Cognitive Development Study to determine how the perception of cannabis harm among children (age at baseline: 9-10; =10,395) changes over time in states with and without RCLs. Using multilevel modeling, we assessed survey responses from children longitudinally across 3 years, adjusting for state-, family-, and participant-level clustering and child-level factors, including demographics (sex, race, and socioeconomic status), religiosity, and trait impulsivity. There was no significant main effect of state RCLs on perceived risk of cannabis use, and no differences in change over time by state RCLs, even after controlling for demographic factors and other risk (e.g., impulsivity) and protective (e.g., religiosity) factors. This analysis indicates that state-level RCLs are not associated with differential perception of cannabis risk among children, even after controlling for demographics, trait impulsivity, and religiosity. Future studies could assess how perception of risk from cannabis changes as children and adolescents continue to mature in states with and without RCLs.

Journal

Cannabis and cannabinoid research

Published

2022/10/26

Authors

Gilman JM, Iyer MT, Pottinger EG, Klugman EM, Hughes D, Potter K, Tervo-Clemmens B, Roffman JL, Evins AE

Keywords

adolescent, cannabis, cannabis laws, impulsivity, legalization, policy

DOI

10.1089/can.2022.0162
Toggle A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction. Scientific reports Wu Y, Besson P, Azcona EA, et al. 2022
PubMed Record

Abstract

The relationship of human brain structure to cognitive function is complex, and how this relationship differs between childhood and adulthood is poorly understood. One strong hypothesis suggests the cognitive function of Fluid Intelligence (Gf) is dependent on prefrontal cortex and parietal cortex. In this work, we developed a novel graph convolutional neural networks (gCNNs) for the analysis of localized anatomic shape and prediction of Gf. Morphologic information of the cortical ribbons and subcortical structures was extracted from T1-weighted MRIs within two independent cohorts, the Adolescent Brain Cognitive Development Study (ABCD; age: 9.93 ± 0.62 years) of children and the Human Connectome Project (HCP; age: 28.81 ± 3.70 years). Prediction combining cortical and subcortical surfaces together yielded the highest accuracy of Gf for both ABCD (R = 0.314) and HCP datasets (R = 0.454), outperforming the state-of-the-art prediction of Gf from any other brain measures in the literature. Across both datasets, the morphology of the amygdala, hippocampus, and nucleus accumbens, along with temporal, parietal and cingulate cortex consistently drove the prediction of Gf, suggesting a significant reframing of the relationship between brain morphology and Gf to include systems involved with reward/aversion processing, judgment and decision-making, motivation, and emotion.

Journal

Scientific reports

Published

2022/10/22

Authors

Wu Y, Besson P, Azcona EA, Bandt SK, Parrish TB, Breiter HC, Katsaggelos AK

Keywords

DOI

10.1038/s41598-022-22313-x
Toggle Strengthening associations between psychotic like experiences and suicidal ideation and behavior across middle childhood and early adolescence. Psychological medicine Karcher NR, O'Hare K, Jay SY, et al. 2022
PubMed Record

Abstract

Understanding risk factors related to suicidal ideation (SI) and suicidal behaviors (SB) in youth is important for informing prevention and intervention efforts. While it appears that psychotic-like experiences (PLEs) are strongly associated with both SI and SB at different points across the lifespan, the longitudinal nature of this relationship in middle childhood and early adolescence is understudied.

Journal

Psychological medicine

Published

2022/10/21

Authors

Karcher NR, O'Hare K, Jay SY, Grattan R

Keywords

Adolescent brain cognitive development study, longitudinal, psychotic-like experiences, suicidal behavior, suicidal ideation

DOI

10.1017/S0033291722003166
Toggle Impulsivity and reward sensitivity facets as predictors of weight change in children: Differences by binge-eating disorder diagnostic status. Pediatric obesity Valdez A, Smith KE, Mason TB 2022
PubMed Record

Abstract

Impulsivity and reward sensitivity are personality traits associated with obesity and binge-eating disorder (BED), but little research has examined prospective associations between these traits and body mass index z-score (BMI-z) differentially for children with and without BED.

Journal

Pediatric obesity

Published

2022/10/19

Authors

Valdez A, Smith KE, Mason TB

Keywords

binge-eating disorder, children, impulsivity, obesity, reward sensitivity

DOI

10.1111/ijpo.12987
Toggle Longitudinal assessment of brain structure and behaviour in youth with rapid weight gain: Potential contributing causes and consequences. Pediatric obesity Adise S, Marshall AT, Hahn S, et al. 2022
PubMed Record

Abstract

Independent of weight status, rapid weight gain has been associated with underlying brain structure variation in regions associated with food intake and impulsivity among pre-adolescents. Yet, we lack clarity on how developmental maturation coincides with rapid weight gain and weight stability.

Journal

Pediatric obesity

Published

2022/10/17

Authors

Adise S, Marshall AT, Hahn S, Zhao S, Kan E, Rhee KE, Herting MM, Sowell ER

Keywords

MRI, biomarker, eating disorders, paediatric obesity

DOI

10.1111/ijpo.12985
Toggle Socioeconomic resources are associated with distributed alterations of the brain's intrinsic functional architecture in youth. Developmental cognitive neuroscience Sripada C, Gard AM, Angstadt M, et al. 2022
PubMed Record

Abstract

Little is known about how exposure to limited socioeconomic resources (SER) in childhood gets “under the skin” to shape brain development, especially using rigorous whole-brain multivariate methods in large, adequately powered samples. The present study examined resting state functional connectivity patterns from 5821 youth in the Adolescent Brain Cognitive Development (ABCD) study, employing multivariate methods across three levels: whole-brain, network-wise, and connection-wise. Across all three levels, SER was associated with widespread alterations across the connectome. However, critically, we found that parental education was the primary driver of neural associations with SER. These parental education associations with the developing connectome exhibited notable concentrations in somatosensory and subcortical regions, and they were partially accounted for by home enrichment activities, child’s cognitive abilities, and child’s grades, indicating interwoven links between parental education, child stimulation, and child cognitive performance. These results add a new data-driven, multivariate perspective on links between household SER and the child’s developing functional connectome.

Journal

Developmental cognitive neuroscience

Published

2022/10/17

Authors

Sripada C, Gard AM, Angstadt M, Taxali A, Greathouse T, McCurry K, Hyde LW, Weigard A, Walczyk P, Heitzeg M

Keywords

Adolescent Brain Cognitive Development (ABCD) Study, Connectomics, Functional connectivity, Household income, Intrinsic connectivity networks, Neighborhood disadvantage, Neurodevelopment, Parental education, Predictive modeling, Resting state fMRI, Socioeconomic resources, Socioeconomic status

DOI

10.1016/j.dcn.2022.101164
Toggle Parental religiosity is associated with changes in youth functional network organization and cognitive performance in early adolescence. Scientific reports Brooks SJ, Tian L, Parks SM, et al. 2022
PubMed Record

Abstract

Parental religious beliefs and practices (religiosity) may have profound effects on youth, especially in neurodevelopmentally complex periods such as adolescence. In n = 5566 children (median age = 120.0 months; 52.1% females; 71.2% with religious affiliation) from the Adolescent Brain Cognitive Development study, relationships between parental religiosity and non-religious beliefs on family values (data on youth beliefs were not available), topological properties of youth resting-state brain networks, and executive function, inhibitory control, and cognitive flexibility were investigated. Lower caregiver education and family income were associated with stronger parental beliefs (p < 0.01). Strength of both belief types was correlated with lower efficiency, community structure, and robustness of frontoparietal control, temporoparietal, and dorsal attention networks (p < 0.05), and lower Matrix Reasoning scores. Stronger religious beliefs were negatively associated (directly and indirectly) with multiscale properties of salience and default-mode networks, and lower Flanker and Dimensional Card Sort scores, but positively associated with properties of the precuneus. Overall, these effects were small (Cohen’s d ~ 0.2 to ~ 0.4). Overlapping neuromodulatory and cognitive effects of parental beliefs suggest that early adolescents may perceive religious beliefs partly as context-independent rules on expected behavior. However, religious beliefs may also differentially affect cognitive flexibility, attention, and inhibitory control and their neural substrates.

Journal

Scientific reports

Published

2022/10/15

Authors

Brooks SJ, Tian L, Parks SM, Stamoulis C

Keywords

DOI

10.1038/s41598-022-22299-6
Toggle Genetic versus environmental influences on callous-unemotional traits in preadolescence: The role of parenting and parental psychopathology. Development and psychopathology Perlstein S, Hawes S, Vazquez AY, et al. 2022
PubMed Record

Abstract

Children with callous-unemotional (CU) traits are at risk for severe conduct problems. While CU traits are moderately heritable, parenting also predicts risk. However, few studies have investigated whether parenting factors (e.g., acceptance, conflict, parental psychopathology) moderate the etiology of CU traits, while accounting for gene-environment correlations. To address this knowledge gap, we used data from 772 twin pairs from the Adolescent Brain and Cognitive Development Study to test bivariate models that explored overlapping etiological influences on CU traits and child reports of their parenting environment. We also used gene-by-environment interaction models to test whether parenting moderated genetic versus environmental influences. There were no overlapping etiological influences on CU traits and parental acceptance, but modest genetic and non-shared environmental overlap between CU traits and family conflict. Parental acceptance and psychopathology moderated non-shared environmental influences, with stronger non-shared environmental influences on CU traits among children who experienced lower parental acceptance and greater parental psychopathology. Family conflict only moderated environmental influences when models did not covary for conduct problems. Parental acceptance and parental psychopathology may be specific environmental protective and risk factors for CU traits, whereas family conflict may represent a general environmental risk factor for both CU traits and conduct problems.

Journal

Development and psychopathology

Published

2022/10/14

Authors

Perlstein S, Hawes S, Vazquez AY, Pacheco-Colón I, Lehman S, Parent J, Byrd A, Waller R

Keywords

callous–unemotional traits, environment, etiology, genetics, parenting, twin study

DOI

10.1017/S0954579422000888
Toggle Impact of prenatal cannabis exposure on functional connectivity of the salience network in children. Journal of neuroscience research Faraj MM, Evanski J, Zundel CG, et al. 2022
PubMed Record

Abstract

Cannabis use among pregnant people has increased over the past decade. This is of concern as prenatal cannabis exposure (PCE) is associated with cognitive, motor, and social deficits among offspring. Here, we examined resting-state functional connectivity (rsFC) of the salience network (SN)-a core neurocognitive network that integrates emotional and sensory information-in children with (vs. without) PCE. Using neuroimaging and developmental history data collected from 10,719 children (M ± SD = 9.92 ± 0.62 years; 47.9% female) from the Adolescent Brain Cognitive Development study, we assessed the impact of parent-reported PCE (before or after knowledge of pregnancy) on rsFC within and between the SN and five other core neurocognitive networks. We also evaluated whether SN rsFC mediated the association between PCE and child psychopathology. Results showed that PCE before (but not after) knowledge of pregnancy was associated with lower SN-ventral attention network (VAN) rsFC. Furthermore, psychotic-like experiences mediated the association between PCE and SN-VAN rsFC, and reversal of the model was also significant, such that SN-VAN rsFC mediated the association between PCE and psychotic-like symptoms. However, these mediation effects were no longer significant after the inclusion of covariates. Taken together, these findings suggest that developmental alterations in SN-VAN interactions may explain the previously reported association between PCE and elevated risk of child psychopathology.

Journal

Journal of neuroscience research

Published

2022/10/13

Authors

Faraj MM, Evanski J, Zundel CG, Peters C, Brummelte S, Lundahl L, Marusak HA

Keywords

endocannabinoid, fMRI, gestational marijuana, neurocognitive, resting-state, salience network

DOI

10.1002/jnr.25136
Toggle Family History of Depression and Neural Reward Sensitivity: Findings From the Adolescent Brain Cognitive Development Study. Biological psychiatry. Cognitive neuroscience and neuroimaging Freeman C, Olino T, Barbeau EB, et al. 2022
PubMed Record

Abstract

Previous studies have found that offspring of depressed parents exhibit reduced striatal reward response to anticipating and receiving rewards, suggesting that this may constitute a neurobiological risk marker for depression. The present study aimed to assess whether maternal and paternal depression history have independent effects on offspring reward processing and whether greater family history density of depression is associated with increased blunting of striatal reward responses.

Journal

Biological psychiatry. Cognitive neuroscience and neuroimaging

Published

2022/10/13

Authors

Freeman C, Olino T, Barbeau EB, Weinberg A, Chai X

Keywords

Depression, Development, Family history, Reward, Risk marker, fMRI

DOI

10.1016/j.bpsc.2022.09.015
Toggle Task-based co-activation patterns reliably predict resting state canonical network engagement during development. Developmental cognitive neuroscience Ye F, Kohler R, Serio B, et al. 2022
PubMed Record

Abstract

Neurodevelopmental research has traditionally focused on development of individual structures, yet multiple lines of evidence indicate parallel development of large-scale systems, including canonical neural networks (i.e., default mode, frontoparietal). However, the relationship between region- vs. network-level development remains poorly understood. The current study tests the ability of a recently developed multi-task coactivation matrix approach to predict canonical resting state network engagement at baseline and at two-year follow-up in a large and cohort of young adolescents. Pre-processed tabulated neuroimaging data were obtained from the Adolescent Brain and Cognitive Development (ABCD) study, assessing youth at baseline (N = 6073, age = 10.0 ± 0.6 years, 3056 female) and at two-year follow-up (N = 3539, age = 11.9 ± 0.6 years, 1726 female). Individual multi-task co-activation matrices were constructed from the beta weights of task contrasts from the stop signal task, the monetary incentive delay task, and emotional N-back task. Activation-based predictive modeling, a cross-validated machine learning approach, was adopted to predict resting-state canonical network engagement from multi-task co-activation matrices at baseline. Note that the tabulated data used different parcellations of the task fMRI data (“ASEG” and Desikan) and the resting-state fMRI data (Gordon). Despite this, the model successfully predicted connectivity within the default mode network (DMN, rho = 0.179 ± 0.002, p < 0.001) across participants and identified a subset of co-activations within parietal and occipital macroscale brain regions as key contributors to model performance, suggesting an underlying common brain functional architecture across cognitive domains. Notably, predictive features for resting-state connectivity within the DMN identified at baseline also predicted DMN connectivity at two-year follow-up (rho = 0.258). These results indicate that multi-task co-activation matrices are functionally meaningful and can be used to predict resting-state connectivity. Interestingly, given that predictive features within the co-activation matrices identified at baseline can be extended to predictions at a future time point, our results suggest that task-based neural features and models are valid predictors of resting state network level connectivity across the course of development. Future work is encouraged to verify these findings with more consistent parcellations between task-based and resting-state fMRI, and with longer developmental trajectories.

Journal

Developmental cognitive neuroscience

Published

2022/10/08

Authors

Ye F, Kohler R, Serio B, Lichenstein S, Yip SW

Keywords

Adolescence, Co-activation, Cognition, Development, Predictive modeling, Resting-state connectivity

DOI

10.1016/j.dcn.2022.101160
Toggle Association of Video Gaming With Cognitive Performance Among Children. JAMA network open Chaarani B, Ortigara J, Yuan D, et al. 2022
PubMed Record

Abstract

Although most research has linked video gaming to subsequent increases in aggressive behavior in children after accounting for prior aggression, findings have been divided with respect to video gaming’s association with cognitive skills.

Journal

JAMA network open

Published

2022/10/03

Authors

Chaarani B, Ortigara J, Yuan D, Loso H, Potter A, Garavan HP

Keywords

DOI

10.1001/jamanetworkopen.2022.35721
Toggle Prevalence of Disordered Eating and Associations With Sex, Pubertal Maturation, and Weight in Children in the US. JAMA pediatrics Murray SB, Blashill AJ, Calzo JP 2022
PubMed Record

Abstract

Journal

JAMA pediatrics

Published

2022/10/01

Authors

Murray SB, Blashill AJ, Calzo JP

Keywords

DOI

10.1001/jamapediatrics.2022.2490
Toggle Associations Between Genetic Risk for Adult Suicide Attempt and Suicidal Behaviors in Young Children in the US. JAMA psychiatry Lee PH, Doyle AE, Silberstein M, et al. 2022
PubMed Record

Abstract

Suicide rates have been increasing among youth in the US. While the heritability of suicide risk is well established, there is limited understanding of how genetic risk is associated with suicidal thoughts and behaviors in young children.

Journal

JAMA psychiatry

Published

2022/10/01

Authors

Lee PH, Doyle AE, Silberstein M, Jung JY, Liu RT, Perlis RH, Roffman J, Smoller JW, Fava M, Kessler RC

Keywords

DOI

10.1001/jamapsychiatry.2022.2379
Toggle Effects of Parental Internalizing and Externalizing Behavior Problems on Children's Limbic Brain Structures-An MRI Study. Brain sciences Albar Z, Sattar A 2022
PubMed Record

Abstract

Parental behavior problems have long-term effects on children’s limbic brain structures and functions. Parental behavior problems-related brain changes in children may lead to mental disorders and behavior dysfunction later in life. However, our understanding of the relationship between parental behavior and children’s brain structures is less obvious when children and adolescents are studied in a general population without mental disorders. The majority of studies on the relationship between parental behavior and adolescent brain structure have been focused on severe forms of the following parental behavior problems: (1) internalizing behavior associated with mood and anxiety disorders, and (2) externalizing behavior associated with substance use and violence. A few studies examined the effect of normative variations or subtle differences in parental behavior. Therefore, we utilized a large study-Adolescent Brain Cognitive Development (ABCD)-to determine relationships between normative variation in parental internalizing and externalizing behavior and limbic brain structures in children and adolescents without mental disorders. Quantile (median) regression models were used to compute associations between parental behavior and children’s limbic structures. We found that parental internalizing and externalizing behaviors are uniquely associated with children’s limbic structures after adjustment for biological confounders and parental socioeconomic status. Our findings indicate that normative parental behavior may have a significant early influence on limbic structures of normally developing children and adolescents. Accelerated or delayed limbic structure maturation may account for children’s and adolescents’ behavioral inadequacies and a risk of developing specific mood disorders or substance abuse problems later in life.

Journal

Brain sciences

Published

2022/09/29

Authors

Albar Z, Sattar A

Keywords

behavioral measures, brain imaging, child development, parenting, quantile regression

DOI

10.3390/brainsci12101319
Toggle White matter microstructure shows sex differences in late childhood: Evidence from 6797 children. Human brain mapping Lawrence KE, Abaryan Z, Laltoo E, et al. 2022
PubMed Record

Abstract

Sex differences in white matter microstructure have been robustly demonstrated in the adult brain using both conventional and advanced diffusion-weighted magnetic resonance imaging approaches. However, sex differences in white matter microstructure prior to adulthood remain poorly understood; previous developmental work focused on conventional microstructure metrics and yielded mixed results. Here, we rigorously characterized sex differences in white matter microstructure among over 6000 children from the Adolescent Brain Cognitive Development study who were between 9 and 10 years old. Microstructure was quantified using both the conventional model-diffusion tensor imaging (DTI)-and an advanced model, restriction spectrum imaging (RSI). DTI metrics included fractional anisotropy (FA) and mean, axial, and radial diffusivity (MD, AD, RD). RSI metrics included normalized isotropic, directional, and total intracellular diffusion (N0, ND, NT). We found significant and replicable sex differences in DTI or RSI microstructure metrics in every white matter region examined across the brain. Sex differences in FA were regionally specific. Across white matter regions, boys exhibited greater MD, AD, and RD than girls, on average. Girls displayed increased N0, ND, and NT compared to boys, on average, suggesting greater cell and neurite density in girls. Together, these robust and replicable findings provide an important foundation for understanding sex differences in health and disease.

Journal

Human brain mapping

Published

2022/09/29

Authors

Lawrence KE, Abaryan Z, Laltoo E, Hernandez LM, Gandal MJ, McCracken JT, Thompson PM

Keywords

development, diffusion tensor imaging, diffusion-weighted MRI, microstructure, restriction spectrum imaging, sex differences, white matter

DOI

10.1002/hbm.26079
Toggle Exploring the Relationships Between Autozygosity, Educational Attainment, and Cognitive Ability in a Contemporary, Trans-Ancestral American Sample. Behavior genetics Colbert SM, Keller MC, Agrawal A, et al. 2022
PubMed Record

Abstract

Previous studies have found significant associations between estimated autozygosity – the proportion of an individual’s genome contained in homozygous segments due to distant inbreeding – and multiple traits, including educational attainment (EA) and cognitive ability. In one study, estimated autozygosity showed a stronger association with parental EA than the subject’s own EA. This was likely driven by parental EA’s association with mobility: more educated parents tended to migrate further from their hometown, and because of the strong correlation between ancestry and geography in the Netherlands, these individuals chose partners farther from their ancestry and therefore more different from them genetically. We examined the associations between estimated autozygosity, cognitive ability, and parental EA in a contemporary sub-sample of adolescents from the Adolescent Brain Cognitive Development Study℠ (ABCD Study®) (analytic N = 6,504). We found a negative association between autozygosity and child cognitive ability consistent with previous studies, while the associations between autozygosity and parental EA were in the expected direction of effect (with greater levels of autozygosity being associated with lower EA) but the effect sizes were significantly weaker than those estimated in previous work. We also found a lower mean level of autozygosity in the ABCD sample compared to previous autozygosity studies, which may reflect overall decreasing levels of autozygosity over generations. Variation in spousal similarities in ancestral background in the ABCD study compared to other studies may explain the pattern of associations between estimated autozygosity, EA, and cognitive ability in the current study.

Journal

Behavior genetics

Published

2022/09/28

Authors

Colbert SM, Keller MC, Agrawal A, Johnson EC

Keywords

Assortative mating, Autozygosity, Cognitive ability, Educational attainment, Runs of homozygosity

DOI

10.1007/s10519-022-10113-y
Toggle SCALAR ON NETWORK REGRESSION VIA BOOSTING. The annals of applied statistics Morris EL, He K, Kang J 2022
PubMed Record

Abstract

Neuroimaging studies have a growing interest in learning the association between the individual brain connectivity networks and their clinical characteristics. It is also of great interest to identify the sub brain networks as biomarkers to predict the clinical symptoms, such as disease status, potentially providing insight on neuropathology. This motivates the need for developing a new type of regression model where the response variable is scalar, and predictors are networks that are typically represented as adjacent matrices or weighted adjacent matrices, to which we refer as scalar-on-network regression. In this work, we develop a new boosting method for model fitting with sub-network markers selection. Our approach, as opposed to group lasso or other existing regularization methods, is essentially a gradient descent algorithm leveraging known network structure. We demonstrate the utility of our methods via simulation studies and analysis of the resting-state fMRI data in a cognitive developmental cohort study.

Journal

The annals of applied statistics

Published

2022/09/26

Authors

Morris EL, He K, Kang J

Keywords

Boosting, Neuroimaging, fMRI

DOI

10.1214/22-aoas1612
Toggle Peer victimization (bullying) on mental health, behavioral problems, cognition, and academic performance in preadolescent children in the ABCD Study. Frontiers in psychology Menken MS, Isaiah A, Liang H, et al. 2022
PubMed Record

Abstract

Peer victimization is a substantial early life stressor linked to psychiatric symptoms and poor academic performance. However, the sex-specific cognitive or behavioral outcomes of bullying have not been well-described in preadolescent children.

Journal

Frontiers in psychology

Published

2022/09/26

Authors

Menken MS, Isaiah A, Liang H, Rivera PR, Cloak CC, Reeves G, Lever NA, Chang L

Keywords

bullying, internalizing and externalizing behavior, peer victimization, sex differences, suicidality

DOI

10.3389/fpsyg.2022.925727
Toggle Working memory and reaction time variability mediate the relationship between polygenic risk and ADHD traits in a general population sample. Molecular psychiatry Moses M, Tiego J, Demontis D, et al. 2022
PubMed Record

Abstract

Endophenotypes are heritable and quantifiable traits indexing genetic liability for a disorder. Here, we examined three potential endophenotypes, working memory function, response inhibition, and reaction time variability, for attention-deficit hyperactivity disorder (ADHD) measured as a dimensional latent trait in a large general population sample derived from the Adolescent Brain Cognitive Development Study. The genetic risk for ADHD was estimated using polygenic risk scores (PRS) whereas ADHD traits were quantified as a dimensional continuum using Bartlett factor score estimates, derived from Attention Problems items from the Child Behaviour Checklist and Effortful Control items from the Early Adolescent Temperament Questionnaire-Revised. The three candidate cognitive endophenotypes were quantified using task-based performance measures. Higher ADHD PRSs were associated with higher ADHD traits, as well as poorer working memory performance and increased reaction time variability. Lower working memory performance, poorer response inhibition, and increased reaction time variability were associated with more pronounced ADHD traits. Working memory and reaction time variability partially statistically mediated the relationship between ADHD PRS and ADHD traits, explaining 14% and 16% of the association, respectively. The mediation effect was specific to the genetic risk for ADHD and did not generalise to genetic risk for four other major psychiatric disorders. Together, these findings provide robust evidence from a large general population sample that working memory and reaction time variability can be considered endophenotypes for ADHD that mediate the relationship between ADHD PRS and ADHD traits.

Journal

Molecular psychiatry

Published

2022/09/23

Authors

Moses M, Tiego J, Demontis D, Bragi Walters G, Stefansson H, Stefansson K, Børglum AD, Arnatkeviciute A, Bellgrove MA

Keywords

DOI

10.1038/s41380-022-01775-5
Toggle Developmental Milestones of Infancy and Associations with Later Childhood Neurodevelopmental Outcomes in the Adolescent Brain Cognitive Development (ABCD) Study. Children (Basel, Switzerland) Zhuo H, Xiao J, Tseng WL, et al. 2022
PubMed Record

Abstract

The age at attaining infancy developmental milestones has been associated with later neurodevelopmental outcomes, but evidence from large and diverse samples is lacking. We investigated this by analyzing data of 5360 singleton children aged 9-10 from 17 states in the US enrolled in the Adolescent Brain Cognitive Development (ABCD) study during 2016-2020. Delays in four milestones (first roll over, unaided sitting, unaided walking, and speaking first words) were defined using the 90th percentile of age at attainment reported by children’s biological mothers. Childhood neurocognitive function was measured by research assistants using the NIH toolbox, and children reported their behavioral problems using the Brief Problem Monitor. Linear mixed-effects models were employed to investigate the association between delays in single or multiple milestones and childhood neurobehavioral outcomes. Delays in first roll over, unaided sitting, or walking were associated with poorer childhood neurocognitive function, while delay in speaking first words was associated with both poorer neurocognitive function and behavioral problems. Children who had delays in both motor and language milestones had the worst neurocognitive function and behavioral outcomes. Our results suggest that delays in motor and language milestone attainment during infancy are predictive of childhood neurobehavioral outcomes.

Journal

Children (Basel, Switzerland)

Published

2022/09/20

Authors

Zhuo H, Xiao J, Tseng WL, Liew Z

Keywords

behavioral problems, early childhood, infancy developmental milestones, neurocognitive functions

DOI

10.3390/children9101424
Toggle Mediating effect of pubertal stages on the family environment and neurodevelopment: An open-data replication and multiverse analysis of an ABCD Study. Neuroimage. Reports Demidenko MI, Kelly DP, Hardi FA, et al. 2022
PubMed Record

Abstract

Increasing evidence demonstrates that environmental factors meaningfully impact the development of the brain (Hyde et al., 2020; McEwen and Akil, 2020). Recent work from the Adolescent Brain Cognitive Development (ABCD) Study suggests that puberty may indirectly account for some association between the family environment and brain structure and function (Thijssen et al., 2020). However, a limited number of large studies have evaluated what, how, and why environmental factors impact neurodevelopment. When these topics are investigated, there is typically inconsistent operationalization of variables between studies which may be measuring different aspects of the environment and thus different associations in the analytic models. Multiverse analyses (Steegen et al., 2016) are an efficacious technique for investigating the effect of different operationalizations of the same construct on underlying interpretations. While one of the assets of Thijssen et al. (2020) was its large sample from the ABCD data, the authors used an early release that contained 38% of the full ABCD sample. Then, the analyses used several ‘researcher degrees of freedom’ (Gelman and Loken, 2014) to operationalize key independent, mediating and dependent variables, including but not limited to, the use of a latent factor of preadolescents’ environment comprised of different subfactors, such as parental monitoring and child-reported family conflict. While latent factors can improve reliability of constructs, the nuances of each subfactor and measure that comprise the environment may be lost, making the latent factors difficult to interpret in the context of individual differences. This study extends the work of Thijssen et al. (2020) by evaluating the extent to which the analytic choices in their study affected their conclusions. In Aim 1, using the same variables and models, we replicate findings from the original study using the full sample in Release 3.0. Then, in Aim 2, using a multiverse analysis we extend findings by considering nine alternative operationalizations of family environment, three of puberty, and five of brain measures (total of 135 models) to evaluate the impact on conclusions from Aim 1. In these results, 90% of the directions of effects and 60% of the -values (e.g. > .05 and < .05) across effects were comparable between the two studies. However, raters agreed that only 60% of the effects had replicated. Across the multiverse analyses, there was a degree of variability in beta estimates across the environmental variables, and lack of consensus between parent reported and child reported pubertal development for the indirect effects. This study demonstrates the challenge in defining which effects replicate, the nuance across environmental variables in the ABCD data, and the lack of consensus across parent and child reported puberty scales in youth.

Journal

Neuroimage. Reports

Published

2022/09/18

Authors

Demidenko MI, Kelly DP, Hardi FA, Ip KI, Lee S, Becker H, Hong S, Thijssen S, Luciana M, Keating DP

Keywords

Environment, Pubertal development, Resting state MRI, Structural MRI, Youth

DOI

10.1016/j.ynirp.2022.100133
Toggle Explaining the Association Between Fetal Growth and Childhood ADHD Symptoms: Cross-cohort Replication. Research on child and adolescent psychopathology Dooley N, Healy C, Brannigan R, et al. 2022
PubMed Record

Abstract

The association between restricted fetal growth and symptoms of attention deficit/hyperactivity disorder (ADHD) in childhood is well-replicated and robust. However, fetal growth is determined by many prenatal factors and associations with mental health may be confounded by familial and social context. In this study, we sought to quantify the relative contributions of prenatal factors and familial confounds to the association between fetal growth and ADHD symptoms. Two independent cohorts were analyzed, the Adolescent Brain Cognitive Development study (ABCD; United States) and the Growing Up in Ireland (GUI) study. ADHD symptoms were measured by the Child Behavior Checklist (ABCD) and the Strengths & Difficulties questionnaire (GUI) at age 9-10. Using sequential regression models, we assessed the change-in-association between fetal growth and ADHD symptoms after controlling for sex, familial factors (socioeconomic/demographic factors & family psychiatric history) and prenatal factors (pregnancy complications & maternal substance-use during pregnancy). Converging findings from cohorts suggested that over a quarter of the association between fetal growth and ADHD symptoms is attributable to familial confounds. The degree to which the association was explained by prenatal factors differed by cohort-pregnancy complications explained a larger proportion of the effect in ABCD (7.9%) than GUI (2.7%), and maternal substance-use explained a larger proportion of the effect in GUI (22.7%) compared to ABCD (4.8%). Different explanations of the fetal growth-ADHD association across cohorts suggests cohort-specific, and potentially nationally-specific, risk factors for fetal growth and related neurodevelopmental outcomes. The evidence suggests early prevention of ADHD in Ireland should focus on minimizing maternal smoking during pregnancy. In the US, prevention and treatment of pregnancy complications are highlighted as viable targets for intervention.

Journal

Research on child and adolescent psychopathology

Published

2022/09/17

Authors

Dooley N, Healy C, Brannigan R, Cotter D, Clarke M, Cannon M

Keywords

ADHD, Birth weight, Fetal development, Fetal growth restriction, Pregnancy complications

DOI

10.1007/s10802-022-00971-9
Toggle Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI. NeuroImage Ooi LQR, Chen J, Zhang S, et al. 2022
PubMed Record

Abstract

A fundamental goal across the neurosciences is the characterization of relationships linking brain anatomy, functioning, and behavior. Although various MRI modalities have been developed to probe these relationships, direct comparisons of their ability to predict behavior have been lacking. Here, we compared the ability of anatomical T1, diffusion and functional MRI (fMRI) to predict behavior at an individual level. Cortical thickness, area and volume were extracted from anatomical T1 images. Diffusion Tensor Imaging (DTI) and approximate Neurite Orientation Dispersion and Density Imaging (NODDI) models were fitted to the diffusion images. The resulting metrics were projected to the Tract-Based Spatial Statistics (TBSS) skeleton. We also ran probabilistic tractography for the diffusion images, from which we extracted the stream count, average stream length, and the average of each DTI and NODDI metric across tracts connecting each pair of brain regions. Functional connectivity (FC) was extracted from both task and resting-state fMRI. Individualized prediction of a wide range of behavioral measures were performed using kernel ridge regression, linear ridge regression and elastic net regression. Consistency of the results were investigated with the Human Connectome Project (HCP) and Adolescent Brain Cognitive Development (ABCD) datasets. In both datasets, FC-based models gave the best prediction performance, regardless of regression model or behavioral measure. This was especially true for the cognitive component. Furthermore, all modalities were able to predict cognition better than other behavioral components. Combining all modalities improved prediction of cognition, but not other behavioral components. Finally, across all behaviors, combining resting and task FC yielded prediction performance similar to combining all modalities. Overall, our study suggests that in the case of healthy children and young adults, behaviorally-relevant information in T1 and diffusion features might reflect a subset of the variance captured by FC.

Journal

NeuroImage

Published

2022/09/16

Authors

Ooi LQR, Chen J, Zhang S, Kong R, Tam A, Li J, Dhamala E, Zhou JH, Holmes AJ, Yeo BTT

Keywords

Anatomical T1, Diffusion MRI, Functional MRI, Individualized behavior prediction, Multimodal MRI

DOI

10.1016/j.neuroimage.2022.119636
Toggle Multiple Instance Neuroimage Transformer. PRedictive Intelligence in MEdicine. PRIME (Workshop) Singla A, Zhao Q, Do DK, et al. 2022
PubMed Record

Abstract

For the first time, we propose using a multiple instance learning based convolution-free transformer model, called Multiple Instance Neuroimage Transformer (MINiT), for the classification of T1-weighted (T1w) MRIs. We first present several variants of transformer models adopted for neuroimages. These models extract non-overlapping 3D blocks from the input volume and perform multi-headed self-attention on a sequence of their linear projections. MINiT, on the other hand, treats each of the non-overlapping 3D blocks of the input MRI as its own instance, splitting it further into non-overlapping 3D patches, on which multi-headed self-attention is computed. As a proof-of-concept, we evaluate the efficacy of our model by training it to identify sex from T1w-MRIs of two public datasets: Adolescent Brain Cognitive Development (ABCD) and the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA). The learned attention maps highlight voxels contributing to identifying sex differences in brain morphometry. The code is available at https://github.com/singlaayush/MINIT.

Journal

PRedictive Intelligence in MEdicine. PRIME (Workshop)

Published

2022/09/16

Authors

Singla A, Zhao Q, Do DK, Zhou Y, Pohl KM, Adeli E

Keywords

DOI

10.1007/978-3-031-16919-9_4
Toggle Generalization of cortical MOSTest genome-wide associations within and across samples. NeuroImage Loughnan RJ, Shadrin AA, Frei O, et al. 2022
PubMed Record

Abstract

Genome-Wide Association studies have typically been limited to univariate analysis in which a single outcome measure is tested against millions of variants. Recent work demonstrates that a Multivariate Omnibus Statistic Test (MOSTest) is well powered to discover genomic effects distributed across multiple phenotypes. Applied to cortical brain MRI morphology measures, MOSTest has resulted in a drastic improvement in power to discover loci when compared to established approaches (min-P). One question that arises is how well these discovered loci replicate in independent data. Here we perform 10 times cross validation within 34,973 individuals from UK Biobank for imaging measures of cortical area, thickness and sulcal depth (>1,000 dimensionality for each). By deploying a replication method that aggregates discovered effects distributed across multiple phenotypes, termed PolyVertex Score (MOSTest-PVS), we demonstrate a higher replication yield and comparable replication rate of discovered loci for MOSTest (# replicated loci: 242-496, replication rate: 96-97%) in independent data when compared with the established min-P approach (# replicated loci: 26-55, replication rate: 91-93%). An out-of-sample replication of discovered loci was conducted with a sample of 4,069 individuals from the Adolescent Brain Cognitive Development® (ABCD) study, who are on average 50 years younger than UK Biobank individuals. We observe a higher replication yield and comparable replication rate of MOSTest-PVS compared to min-P. This finding underscores the importance of using well-powered multivariate techniques for both discovery and replication of high dimensional phenotypes in Genome-Wide Association studies.

Journal

NeuroImage

Published

2022/09/14

Authors

Loughnan RJ, Shadrin AA, Frei O, van der Meer D, Zhao W, Palmer CE, Thompson WK, Makowski C, Jernigan TL, Andreassen OA, Fan CC, Dale AM

Keywords

DOI

10.1016/j.neuroimage.2022.119632
Toggle Genetic risk, parental history, and suicide attempts in a diverse sample of US adolescents. Frontiers in psychiatry Barzilay R, Visoki E, Schultz LM, et al. 2022
PubMed Record

Abstract

Adolescent suicide is a major health problem in the US marked by a recent increase in risk of suicidal behavior among Black/African American youth. While genetic factors partly account for familial transmission of suicidal behavior, it is not clear whether polygenic risk scores of suicide attempt can contribute to suicide risk classification.

Journal

Frontiers in psychiatry

Published

2022/09/14

Authors

Barzilay R, Visoki E, Schultz LM, Warrier V, Daskalakis NP, Almasy L

Keywords

adolescents, child adolescent psychiatry, family history, genetics, polygenic risk prediction, suicide attempt

DOI

10.3389/fpsyt.2022.941772
Toggle Evidence from "big data" for the default-mode hypothesis of ADHD: a mega-analysis of multiple large samples. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Norman LJ, Sudre G, Price J, et al. 2022
PubMed Record

Abstract

We sought to identify resting-state characteristics related to attention deficit/hyperactivity disorder, both as a categorical diagnosis and as a trait feature, using large-scale samples which were processed according to a standardized pipeline. In categorical analyses, we considered 1301 subjects with diagnosed ADHD, contrasted against 1301 unaffected controls (total N = 2602; 1710 males (65.72%); mean age = 10.86 years, sd = 2.05). Cases and controls were 1:1 nearest neighbor matched on in-scanner motion and key demographic variables and drawn from multiple large cohorts. Associations between ADHD-traits and resting-state connectivity were also assessed in a large multi-cohort sample (N = 10,113). ADHD diagnosis was associated with less anticorrelation between the default mode and salience/ventral attention (B = 0.009, t = 3.45, p-FDR = 0.004, d = 0.14, 95% CI = 0.004, 0.014), somatomotor (B = 0.008, t = 3.49, p-FDR = 0.004, d = 0.14, 95% CI = 0.004, 0.013), and dorsal attention networks (B = 0.01, t = 4.28, p-FDR < 0.001, d = 0.17, 95% CI = 0.006, 0.015). These results were robust to sensitivity analyses considering comorbid internalizing problems, externalizing problems and psychostimulant medication. Similar findings were observed when examining ADHD traits, with the largest effect size observed for connectivity between the default mode network and the dorsal attention network (B = 0.0006, t = 5.57, p-FDR < 0.001, partial-r = 0.06, 95% CI = 0.0004, 0.0008). We report significant ADHD-related differences in interactions between the default mode network and task-positive networks, in line with default mode interference models of ADHD. Effect sizes (Cohen's d and partial-r, estimated from the mega-analytic models) were small, indicating subtle group differences. The overlap between the affected brain networks in the clinical and general population samples supports the notion of brain phenotypes operating along an ADHD continuum.

Journal

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Published

2022/09/13

Authors

Norman LJ, Sudre G, Price J, Shastri GG, Shaw P

Keywords

DOI

10.1038/s41386-022-01408-z
Toggle Estimating Parental Demand for Children’s Screen Time in a Model of Family Labor Supply International Advances in Economic Research Oh SE & Vukina T 2022
Link to Publication

Abstract

In a novel approach to model the demand for the children’s screen time as the result of a parent’s optimal labor-leisure choice, the study used a simple model of parental utility maximization subject to the money and time budget constraints to derive Marshallian parental demand functions for two types of child upbringing activities: time-intensive (violin lesson) and time-saving (video games). After the Slutsky decomposition, parental demand for children’s screen time was shown to be similar to a Giffen good. Using the National Longitudinal Survey of Youth 1979 and Adolescent Brain Cognitive Development data, the wage equation was first estimated based on Heckman’s two-step correction procedure. Then, the total effect of an increase in wage rate on the parental demand for screen time was empirically decomposed into the substitution effect and the income effect. The study findings indicate that the substitution effect is positive, the income effect is negative, and the negative income effect dominates the substitution effect. We add to the existing literature by showing that the empirical findings in the public health and psychology literature can be reconciled with the theoretical predictions of the standard economic labor-leisure trade-off paradigm.

Journal

International Advances in Economic Research

Published

2022/09/13

Authors

Oh SE & Vukina T

Keywords

DOI

https://doi.org/10.1007/s11294-022-09854-7
Toggle Shared genetic architecture between schizophrenia and subcortical brain volumes implicates early neurodevelopmental processes and brain development in childhood. Molecular psychiatry Cheng W, van der Meer D, Parker N, et al. 2022
PubMed Record

Abstract

Patients with schizophrenia have consistently shown brain volumetric abnormalities, implicating both etiological and pathological processes. However, the genetic relationship between schizophrenia and brain volumetric abnormalities remains poorly understood. Here, we applied novel statistical genetic approaches (MiXeR and conjunctional false discovery rate analysis) to investigate genetic overlap with mixed effect directions using independent genome-wide association studies of schizophrenia (n = 130,644) and brain volumetric phenotypes, including subcortical brain and intracranial volumes (n = 33,735). We found brain volumetric phenotypes share substantial genetic variants (74-96%) with schizophrenia, and observed 107 distinct shared loci with sign consistency in independent samples. Genes mapped by shared loci revealed (1) significant enrichment in neurodevelopmental biological processes, (2) three co-expression clusters with peak expression at the prenatal stage, and (3) genetically imputed thalamic expression of CRHR1 and ARL17A was associated with the thalamic volume as early as in childhood. Together, our findings provide evidence of shared genetic architecture between schizophrenia and brain volumetric phenotypes and suggest that altered early neurodevelopmental processes and brain development in childhood may be involved in schizophrenia development.

Journal

Molecular psychiatry

Published

2022/09/13

Authors

Cheng W, van der Meer D, Parker N, Hindley G, O'Connell KS, Wang Y, Shadrin AA, Alnæs D, Bahrami S, Lin A, Karadag N, Holen B, Fernandez-Cabello S, Fan CC, Dale AM, Djurovic S, Westlye LT, Frei O, Smeland OB, Andreassen OA

Keywords

DOI

10.1038/s41380-022-01751-z
Toggle Association between mild traumatic brain injury, brain structure, and mental health outcomes in the Adolescent Brain Cognitive Development Study. NeuroImage Lopez DA, Christensen ZP, Foxe JJ, et al. 2022
PubMed Record

Abstract

Children that experience a mild traumatic brain injury (mTBI) are at an increased risk of neural alterations that can deteriorate mental health. We test the hypothesis that mTBI is associated with psychopathology and that structural brain metrics (e.g., volume, area) meaningfully mediate the relation in an adolescent population.

Journal

NeuroImage

Published

2022/09/11

Authors

Lopez DA, Christensen ZP, Foxe JJ, Ziemer LR, Nicklas PR, Freedman EG

Keywords

Brain structure, Child, Head injury, Longitudinal, Mental health, Mild traumatic brain injury

DOI

10.1016/j.neuroimage.2022.119626
Toggle Sensory Over-responsivity: A Feature of Childhood Psychiatric Illness Associated With Altered Functional Connectivity of Sensory Networks. Biological psychiatry Schwarzlose RF, Tillman R, Hoyniak CP, et al. 2022
PubMed Record

Abstract

Sensory over-responsivity (SOR) is recognized as a common feature of autism spectrum disorder. However, SOR is also common among typically developing children, in whom it is associated with elevated levels of psychiatric symptoms. The clinical significance and neurocognitive bases of SOR in these children remain poorly understood and actively debated.

Journal

Biological psychiatry

Published

2022/09/08

Authors

Schwarzlose RF, Tillman R, Hoyniak CP, Luby JL, Barch DM

Keywords

Anxiety, Attention-deficit/hyperactivity disorder, Autism spectrum disorder, Depression, Obsessive-compulsive disorder, Sensory over-responsivity

DOI

10.1016/j.biopsych.2022.09.004
Toggle Distinguish bipolar and major depressive disorder in adolescents based on multimodal neuroimaging: Results from the Adolescent Brain Cognitive Development study. Digital health Liu Y, Chen K, Luo Y, et al. 2022
PubMed Record

Abstract

Major depressive disorder and bipolar disorder in adolescents are prevalent and are associated with cognitive impairment, executive dysfunction, and increased mortality. Early intervention in the initial stages of major depressive disorder and bipolar disorder can significantly improve personal health.

Journal

Digital health

Published

2022/09/05

Authors

Liu Y, Chen K, Luo Y, Wu J, Xiang Q, Peng L, Zhang J, Zhao W, Li M, Zhou X

Keywords

Bipolar disorder, cuneus, major depressive disorder, multimodal, support vector machine

DOI

10.1177/20552076221123705
Toggle Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9-11. NeuroImage Fernandez-Cabello S, Alnæs D, van der Meer D, et al. 2022
PubMed Record

Abstract

Psychiatric disorders are highly heritable and polygenic, and many have their peak onset in late childhood and adolescence, a period of tremendous changes. Although the neurodevelopmental antecedents of mental illness are widely acknowledged, research in youth population cohorts is still scarce, preventing our progress towards the early characterization of these disorders. We included 7,124 children (9-11 years old) from the Adolescent Brain and Cognitive Development Study to map the associations of structural and diffusion brain imaging with common genetic variants and polygenic scores for psychiatric disorders and educational attainment. We used principal component analysis to derive imaging components, and calculated their heritability. We then assessed the relationship of imaging components with genetic and clinical psychiatric risk with univariate models and Canonical correlation analysis (CCA). Most imaging components had moderate heritability. Univariate models showed limited evidence and small associations of polygenic scores with brain structure at this age. CCA revealed two significant modes of covariation. The first mode linked higher polygenic scores for educational attainment with less externalizing problems and larger surface area. The second mode related higher polygenic scores for schizophrenia, bipolar disorder, and autism spectrum disorder to higher global cortical thickness, smaller white matter volumes of the fornix and cingulum, larger medial occipital surface area and smaller surface area of lateral and medial temporal regions. While cross-validation suggested limited generalizability, our results highlight the potential of multivariate models to better understand the transdiagnostic and distributed relationships between mental health and brain structure in late childhood.

Journal

NeuroImage

Published

2022/09/05

Authors

Fernandez-Cabello S, Alnæs D, van der Meer D, Dahl A, Holm M, Kjelkenes R, Maximov II, Norbom LB, Pedersen ML, Voldsbekk I, Andreassen OA, Westlye LT

Keywords

Development, Imaging genetics, Multimodal, Polygenic risk

DOI

10.1016/j.neuroimage.2022.119611
Toggle Associations among Household and Neighborhood Socioeconomic Disadvantages, Resting-state Frontoamygdala Connectivity, and Internalizing Symptoms in Youth. Journal of cognitive neuroscience Ip KI, Sisk LM, Horien C, et al. 2022
PubMed Record

Abstract

Exposure to socioeconomic disadvantages (SED) can have negative impacts on mental health, yet SED are a multifaceted construct and the precise processes by which SED confer deleterious effects are less clear. Using a large and diverse sample of preadolescents (ages 9-10 years at baseline, n = 4038, 49% female) from the Adolescent Brain Cognitive Development Study, we examined associations among SED at both household (i.e., income-needs and material hardship) and neighborhood (i.e., area deprivation and neighborhood unsafety) levels, frontoamygdala resting-state functional connectivity, and internalizing symptoms at baseline and 1-year follow-up. SED were positively associated with internalizing symptoms at baseline and indirectly predicted symptoms 1 year later through elevated symptoms at baseline. At the household level, youth in households characterized by higher disadvantage (i.e., lower income-to-needs ratio) exhibited more strongly negative frontoamygdala coupling, particularly between the bilateral amygdala and medial OFC (mOFC) regions within the frontoparietal network. Although more strongly positive amygdala-mOFC coupling was associated with higher levels of internalizing symptoms at baseline and 1-year follow-up, it did not mediate the association between income-to-needs ratio and internalizing symptoms. However, at the neighborhood level, amygdala-mOFC functional coupling moderated the effect of neighborhood deprivation on internalizing symptoms. Specifically, higher neighborhood deprivation was associated with higher internalizing symptoms for youth with more strongly positive connectivity, but not for youth with more strongly negative connectivity, suggesting a potential buffering effect. Findings highlight the importance of capturing multilevel socioecological contexts in which youth develop to identify youth who are most likely to benefit from early interventions.

Journal

Journal of cognitive neuroscience

Published

2022/09/01

Authors

Ip KI, Sisk LM, Horien C, Conley MI, Rapuano KM, Rosenberg MD, Greene AS, Scheinost D, Constable RT, Casey BJ, Baskin-Sommers A, Gee DG

Keywords

DOI

10.1162/jocn_a_01826
Toggle School Climate, Cortical Structure, and Socioemotional Functioning: Associations across Family Income Levels. Journal of cognitive neuroscience Hackman DA, Duan L, McConnell EE, et al. 2022
PubMed Record

Abstract

School climates are important for children’s socioemotional development and may also serve as protective factors in the context of adversity. Nevertheless, little is known about the potential neural mechanisms of such associations, as there has been limited research concerning the relation between school climate and brain structure, particularly for brain regions relevant for mental health and socioemotional functioning. Moreover, it remains unclear whether the role of school climate differs depending on children’s socioeconomic status. We addressed these questions in baseline data for 9- to 10-year-olds from the Adolescent Brain and Cognitive Development study (analytic sample for socioemotional outcomes, n = 8887), conducted at 21 sites across the United States. Cortical thickness, cortical surface area, and subcortical volume were derived from T1-weighted brain magnetic resonance imaging. School climate was measured by youth report, and socioemotional functioning was measured by both youth and parent report. A positive school climate and higher family income were associated with lower internalizing and externalizing symptoms, with no evidence of moderation. There were no associations between school climate and cortical thickness or subcortical volume, although family income was positively associated with hippocampal volume. For cortical surface area, however, there was both a positive association with family income and moderation: There was an interaction between school climate and income for total cortical surface area and locally in the lateral orbitofrontal cortex. In all cases, there was an unexpected negative association between school climate and cortical surface area in the lower-income group. Consequently, although the school climate appears to be related to better socioemotional function for all youth, findings suggest that the association between a positive school environment and brain structure only emerges in the context of socioeconomic stress and adversity. Longitudinal data are needed to understand the role of these neural differences in socioemotional functioning over time.

Journal

Journal of cognitive neuroscience

Published

2022/09/01

Authors

Hackman DA, Duan L, McConnell EE, Lee WJ, Beak AS, Kraemer DJM

Keywords

DOI

10.1162/jocn_a_01833
Toggle Youth screen use in the ABCD® study. Developmental cognitive neuroscience Bagot KS, Tomko RL, Marshall AT, et al. 2022
PubMed Record

Abstract

Adolescent screen usage is ubiquitous and influences development and behavior. Longitudinal screen usage data coupled with psychometrically valid constructs of problematic behaviors can provide insights into these relationships. We describe methods by which the screen usage questionnaire was developed in the Adolescent Brain Cognitive Development (ABCD) Study, demonstrate longitudinal changes in screen usage via child report and describe data harmonization baseline-year 2. We further include psychometric analyses of adapted social media and video game addiction scales completed by youth. Nearly 12,000 children ages 9-10 years at baseline and their parents were included in the analyses. The social media addiction questionnaire (SMAQ) showed similar factor structure and item loadings across sex and race/ethnicities, but that item intercepts varied across both sex and race/ethnicity. The videogame addiction questionnaire (VGAQ) demonstrated the same configural, metric and scalar invariance across racial and ethnic groups, however differed across sex. Video gaming and online social activity increased over ages 9/10-11/12 (p’s < 0.001). Compared with boys, girls engaged in greater social media use (p < .001) and demonstrated higher ratings on the SMAQ (p < .001). Compared with girls, boys played more video games (p < .001) and demonstrated higher ratings on the VGAQ (p < .001). Time spent playing video games increased more steeply for boys than girls from age 9/10-11/12 years (p < .001). Black youth demonstrated significantly higher SMAQ and VGAQ scores compared to all other racial/ethnic groups. These data show the importance of considering different screen modalities beyond total screen use and point towards clear demographic differences in use patterns. With these comprehensive data, ABCD is poised to address critical questions about screen usage changes across adolescence.

Journal

Developmental cognitive neuroscience

Published

2022/09/01

Authors

Bagot KS, Tomko RL, Marshall AT, Hermann J, Cummins K, Ksinan A, Kakalis M, Breslin F, Lisdahl KM, Mason M, Redhead JN, Squeglia LM, Thompson WK, Wade T, Tapert SF, Fuemmeler BF, Baker FC

Keywords

ABCD, Children, Screen usage, Self-report

DOI

10.1016/j.dcn.2022.101150
Toggle Examining reaction time variability on the stop-signal task in the ABCD study. Journal of the International Neuropsychological Society : JINS Epstein JN, Karalunas SL, Tamm L, et al. 2022
PubMed Record

Abstract

Reaction time variability (RTV) has been estimated using Gaussian, ex-Gaussian, and diffusion model (DM) indices. Rarely have studies examined interrelationships among these performance indices in childhood, and the use of reaction time (RT) computational models has been slow to take hold in the developmental psychopathology literature. Here, we extend prior work in adults by examining the interrelationships among different model parameters in the ABCD sample and demonstrate how computational models of RT can clarify mechanisms of time-on-task effects and sex differences in RTs.

Journal

Journal of the International Neuropsychological Society : JINS

Published

2022/08/31

Authors

Epstein JN, Karalunas SL, Tamm L, Dudley JA, Lynch JD, Altaye M, Simon JO, Maloney TC, Atluri G

Keywords

attentional fluctuations, drift diffusion, ex-Gaussian, intraindividual variability, reaction time, sex differences, vigilance

DOI

10.1017/S1355617722000431
Toggle Sex-specific genetic association between psychiatric disorders and cognition, behavior and brain imaging in children and adults. Translational psychiatry Gui Y, Zhou X, Wang Z, et al. 2022
PubMed Record

Abstract

Although there are pronounced sex differences for psychiatric disorders, relatively little has been published on the heterogeneity of sex-specific genetic effects for these traits until very recently for adults. Much less is known about children because most psychiatric disorders will not manifest until later in life and existing studies for children on psychiatric traits such as cognitive functions are underpowered. We used results from publicly available genome-wide association studies for six psychiatric disorders and individual-level data from the Adolescent Brain Cognitive Development (ABCD) study and the UK Biobank (UKB) study to evaluate the associations between the predicted polygenic risk scores (PRS) of these six disorders and observed cognitive functions, behavioral and brain imaging traits. We further investigated the mediation effects of the brain structure and function, which showed heterogeneity between males and females on the correlation between genetic risk of schizophrenia and fluid intelligence. There was significant heterogeneity in genetic associations between the cognitive traits and psychiatric disorders between sexes. Specifically, the PRSs of schizophrenia of boys showed stronger correlation with eight of the ten cognitive functions in the ABCD data set; whereas the PRSs of autism of females showed a stronger correlation with fluid intelligence in the UKB data set. Besides cognitive traits, we also found significant sexual heterogeneity in genetic associations between psychiatric disorders and behavior and brain imaging. These results demonstrate the underlying early etiology of psychiatric disease and reveal a shared and unique genetic basis between the disorders and cognition traits involved in brain functions between the sexes.

Journal

Translational psychiatry

Published

2022/08/26

Authors

Gui Y, Zhou X, Wang Z, Zhang Y, Wang Z, Zhou G, Zhao Y, Liu M, Lu H, Zhao H

Keywords

DOI

10.1038/s41398-022-02041-6
Toggle Fairness-related performance and explainability effects in deep learning models for brain image analysis. Journal of medical imaging (Bellingham, Wash.) Stanley EAM, Wilms M, Mouches P, et al. 2022
PubMed Record

Abstract

Explainability and fairness are two key factors for the effective and ethical clinical implementation of deep learning-based machine learning models in healthcare settings. However, there has been limited work on investigating how unfair performance manifests in explainable artificial intelligence (XAI) methods, and how XAI can be used to investigate potential reasons for unfairness. Thus, the aim of this work was to analyze the effects of previously established sociodemographic-related confounders on classifier performance and explainability methods. A convolutional neural network (CNN) was trained to predict biological sex from T1-weighted brain MRI datasets of 4547 9- to 10-year-old adolescents from the Adolescent Brain Cognitive Development study. Performance disparities of the trained CNN between White and Black subjects were analyzed and saliency maps were generated for each subgroup at the intersection of sex and race. The classification model demonstrated a significant difference in the percentage of correctly classified White male ( ) and Black male ( ) children. Conversely, slightly higher performance was found for Black female ( ) compared with White female ( ) children. Saliency maps showed subgroup-specific differences, corresponding to brain regions previously associated with pubertal development. In line with this finding, average pubertal development scores of subjects used in this study were significantly different between Black and White females ( ) and males ( ). We demonstrate that a CNN with significantly different sex classification performance between Black and White adolescents can identify different important brain regions when comparing subgroup saliency maps. Importance scores vary substantially between subgroups within brain structures associated with pubertal development, a race-associated confounder for predicting sex. We illustrate that unfair models can produce different XAI results between subgroups and that these results may explain potential reasons for biased performance.

Journal

Journal of medical imaging (Bellingham, Wash.)

Published

2022/08/26

Authors

Stanley EAM, Wilms M, Mouches P, Forkert ND

Keywords

adolescent brain cognitive development study, bias, explainable artificial intelligence, fairness, machine learning, magnetic resonance imaging

DOI

10.1117/1.JMI.9.6.061102
Toggle Adolescent Mental Health and Family Economic Hardships: The Roles of Adverse Childhood Experiences and Family Conflict. Journal of youth and adolescence Barnhart S, Garcia AR, Karcher NR 2022
PubMed Record

Abstract

Rising and economically disproportionate rates of adverse mental health outcomes among children and youth warrant research investigating the complex pathways stemming from socioeconomic status. While adverse childhood experiences (ACEs) have been considered a possible mechanism linking socioeconomic status (SES) and child and youth psychopathology in previous studies, less is understood about how family environments might condition these pathways. Using data from a longitudinal, multiple-wave study, the present study addresses this gap by examining the direct relationships between family economic status and youth internalizing and externalizing symptoms, if ACEs mediate these relationships, and if conflictual family environments moderate these direct and indirect relationships. The data were obtained from 5510 youth participants [mean age at baseline = 9.52 (SD = 0.50), 47.7% female, 2.1% Asian, 10.3% Black, 17.6% Hispanic, 9.8% Multiracial/Multiethnic, 60.2% White] and their caretakers from the baseline, 1-year, and 2-year follow up waves. Conditional process analysis assessed the direct, indirect, and moderated relationships in separate, equivalent models based on youth- versus caregiver-raters of ACEs and youth psychopathology to capture potential differences based on the rater. The results of both the youth- and caregiver-rated models indicated that lower family economic status directly predicted higher levels of externalizing symptoms, and ACEs indirectly accounted for higher levels of internalizing and externalizing symptoms. Additionally, family conflict moderated some, but not all, of these relationships. The study’s findings highlight that lower family economic status and ACEs, directly and indirectly, contribute to early adolescent psychopathology, and conflictual family environments can further intensify these relationships. Implementing empirically supported policies and interventions that target ACEs and family environments may disrupt deleterious pathways between SES and youth psychopathology.

Journal

Journal of youth and adolescence

Published

2022/08/23

Authors

Barnhart S, Garcia AR, Karcher NR

Keywords

Adolescent Brain Cognitive Development Study®, Adverse childhood experiences, Child and adolescent mental health, Economic adversity, Family conflict

DOI

10.1007/s10964-022-01671-9
Toggle The ABCD stop signal data: Response to Bissett et al. Developmental cognitive neuroscience Garavan H, Chaarani B, Hahn S, et al. 2022
PubMed Record

Abstract

This paper responds to a recent critique by Bissett et al. of the fMRI Stop task used in the Adolescent Brain Cognitive Development Study (ABCD Study®). The critique focuses primarily on a task design feature related to race model assumptions (i.e., that the Go and Stop processes are fully independent). In response, we note that the race model is quite robust against violations of its assumptions. Most importantly, while Bissett raises conceptual concerns with the task we focus here on analyzes of the task data and conclude that the concerns appear to have minimal impact on the neuroimaging data (the validity of which do not rely on race model assumptions) and have far less of an impact on the performance data than the critique suggests. We note that Bissett did not apply any performance-based exclusions to the data they analyzed, a number of the trial coding errors they flagged were already identified and corrected in ABCD annual data releases, a number of their secondary concerns reflect sensible design decisions and, indeed, their own computational modeling of the ABCD Stop task suggests the problems they identify have just a modest impact on the rank ordering of individual differences in subject performance.

Journal

Developmental cognitive neuroscience

Published

2022/08/11

Authors

Garavan H, Chaarani B, Hahn S, Allgaier N, Juliano A, Yuan DK, Orr C, Watts R, Wager TD, Ruiz de Leon O, Hagler DJ, Potter A

Keywords

ABCD, Adolescence, Neuroimaging, Race model, STOP task

DOI

10.1016/j.dcn.2022.101144
Toggle Integrative analysis of genomic and exposomic influences on youth mental health. Journal of child psychology and psychiatry, and allied disciplines Choi KW, Wilson M, Ge T, et al. 2022
PubMed Record

Abstract

Understanding complex influences on mental health problems in young people is needed to inform early prevention strategies. Both genetic and environmental factors are known to influence youth mental health, but a more comprehensive picture of their interplay, including wide-ranging environmental exposures – that is, the exposome – is needed. We perform an integrative analysis of genomic and exposomic data in relation to internalizing and externalizing symptoms in a cohort of 4,314 unrelated youth from the Adolescent Brain and Cognitive Development (ABCD) Study.

Journal

Journal of child psychology and psychiatry, and allied disciplines

Published

2022/08/10

Authors

Choi KW, Wilson M, Ge T, Kandola A, Patel CJ, Lee SH, Smoller JW

Keywords

Exposome, G × E, depression, gene-environment interaction, genetics, heritability, youth mental health

DOI

10.1111/jcpp.13664
Toggle Impact of Childhood Trauma Exposure, Genetic Variation in Endocannabinoid Signaling, and Anxiety on Frontolimbic Pathways in Children. Cannabis and cannabinoid research Marusak HA, Evanski J, Desai S, et al. 2022
PubMed Record

Abstract

The endocannabinoid (eCB) system plays a key role in modulating brain development, including myelination processes. Recent studies link a common variant (C385A, rs324420) in the fatty acid amide hydrolase (FAAH) gene to higher circulating eCB levels, lower anxiety, and altered frontolimbic development. Frontolimbic pathways, which demonstrate a protracted maturational course across childhood and adolescence, are associated with anxiety, and are vulnerable to environmental stressors such as trauma exposure. Here, we examined the impact of trauma exposure, FAAH genotype, and anxiety on frontolimbic white matter microstructure in children. We leveraged baseline data from the Adolescent Brain Cognitive Development (ABCD) study (=9969; mean±standard deviation age=9.92±0.62 years; 47.1% female). Saliva samples were used for genotyping, and caregivers reported on their child’s anxiety symptoms and trauma exposure. Fractional anisotropy (FA), a nonspecific measure of white matter integrity, was estimated for frontolimbic tracts. Thirty-six percent of youth experienced one or more potentially traumatic events according to Criterion A (64% controls), and 45% were FAAH A-allele carriers (55% noncarriers). Relative to controls, trauma-exposed youth demonstrated higher anxiety and higher FA of the left uncinate. The FAAH A-allele (vs. CC) was associated with lower FA in the left fornix and left parahippocampal cingulum, and there was an indirect effect of FAAH genotype on anxiety through FA of the left fornix. Moreover, genotype moderated the association between FA of the left cingulum and anxiety. Our findings demonstrate distinct effects of trauma exposure and the FAAH C385A variant on frontolimbic pathways and subsequent anxiety risk in preadolescent children. This line of work may provide important insights into neurodevelopmental mechanisms leading to anxiety risk, and potential targets for intervention.

Journal

Cannabis and cannabinoid research

Published

2022/08/09

Authors

Marusak HA, Evanski J, Desai S, Rabinak CA

Keywords

childhood adversity, diffusion tensor imaging, fatty acid amide hydrolase, fractional anisotropy, neuroimaging, white matter

DOI

10.1089/can.2022.0144
Toggle Location matters: Regional variation in association of community burden of COVID-19 with caregiver and youth worry. Health & place Marshall AT, Hackman DA, Kan E, et al. 2022
PubMed Record

Abstract

Our study characterized associations between three indicators of COVID-19’s community-level impact in 20 geographically diverse metropolitan regions and how worried youth and their caregivers in the Adolescent Brain Cognitive Development℠ Study have been about COVID-19. County-level COVID-19 case/death rates and monthly unemployment rates were geocoded to participants’ addresses. Caregivers’ (vs. youths’) COVID-19-related worry was more strongly associated with COVID-19’s community impact, independent of sociodemographics and pre-pandemic anxiety levels, with these associations varying by location. Public-health agencies and healthcare providers should avoid adopting uniform “one-size-fits-all” approaches to addressing COVID-19-related emotional distress and must consider specific communities’ needs, challenges, and strengths.

Journal

Health & place

Published

2022/08/09

Authors

Marshall AT, Hackman DA, Kan E, Abad S, Baker FC, Baskin-Sommers A, Dowling GJ, Gonzalez MR, Guillaume M, Kiss O, McCabe CJ, McCandliss BD, Pelham WE, Tapert SF, Van Rinsveld A, Sowell ER

Keywords

Adolescent, Anxiety, COVID-19, Caregivers, Residence characteristics

DOI

10.1016/j.healthplace.2022.102885
Toggle A prospective investigation of youth alcohol experimentation and reward responsivity in the ABCD study. Frontiers in psychiatry May AC, Jacobus J, Simmons AN, et al. 2022
PubMed Record

Abstract

Greater risk-taking behaviors, such as alcohol experimentation, are associated with different patterns of brain functioning in regions implicated in reward (nucleus accumbens, NA) and cognitive control (inferior frontal gyrus, IFG). These neural features have been observed in youth with greater risk-taking tendencies prior to substance use initiation, suggesting NA-IFG disruption may serve as an early marker for subsequent substance use disorders. Prospective studies are needed to determine if NA-IFG neural disruption predicts future substance use in school-age children, including those with minimal use of alcohol (e.g., sipping). The present large-sample prospective study sought to use machine learning to: (1) examine alcohol sipping at ages 9, 10 as a potential behavioral indicator of concurrent underlying altered neural responsivity to reward, and (2) determine if alcohol sipping and NA-IFG activation at ages 9, 10 can be used to predict which youth reported increased alcohol use at ages 11, 12. Additionally, low-level alcohol use and brain functioning at ages 9, 10 were examined as predictors of substance use and brain functioning at ages 11, 12.

Journal

Frontiers in psychiatry

Published

2022/08/08

Authors

May AC, Jacobus J, Simmons AN, Tapert SF

Keywords

alcohol experimentation, alcohol sipping, inferior frontal gyrus, machine learning, nucleus accumbens, support vector machine, youth

DOI

10.3389/fpsyt.2022.886848
Toggle Atypical Functional Network Properties and Associated Dimensions of Child Psychopathology During Rest and Task Performance. Biological psychiatry global open science Reimann GE, Stier AJ, Moore TM, et al. 2022
PubMed Record

Abstract

When brain networks deviate from typical development, this is thought to contribute to varying forms of psychopathology. However, research has been limited by the reliance on discrete diagnostic categories that overlook the potential for psychological comorbidity and the dimensional nature of symptoms.

Journal

Biological psychiatry global open science

Published

2022/08/07

Authors

Reimann GE, Stier AJ, Moore TM, Durham EL, Jeong HJ, Cardenas-Iniguez C, Dupont RM, Pines JR, Berman MG, Lahey BB, Kaczkurkin AN

Keywords

Adolescent Brain Cognitive Development Study, Attention-deficit/hyperactivity disorder, Child Behavior Checklist, Psychopathology symptoms

DOI

10.1016/j.bpsgos.2022.07.007
Toggle Big or Little Data for Magnetic Resonance Imaging Research in Psychiatry? Biological psychiatry Talati A, van Dijk MT, Weissman MM 2022
PubMed Record

Abstract

Journal

Biological psychiatry

Published

2022/08/05

Authors

Talati A, van Dijk MT, Weissman MM

Keywords

DOI

10.1016/j.biopsych.2022.06.007
Toggle Brain structural changes and the development of interference control in children with ADHD: The predictive value of physical activity and body mass index. NeuroImage. Clinical Ludyga S, Ishihara T 2022
PubMed Record

Abstract

Children with ADHD face deficits in interference control due to abnormalities in brain structure. A low body mass index and high physical activity are factors promoting brain health and may have the potential to reduce ADHD-related cognitive deficits. We aimed to investigate the predictive values of ADHD, body mass index and physical activity for interference control and the potential mediation of these associations by brain structure.

Journal

NeuroImage. Clinical

Published

2022/08/04

Authors

Ludyga S, Ishihara T

Keywords

Cortical thickness, Executive function, Exercise, Intracortical myelination, Physical fitness

DOI

10.1016/j.nicl.2022.103141
Toggle Prediction of fluid intelligence from T1-w MRI images: A precise two-step deep learning framework. PloS one Li M, Jiang M, Zhang G, et al. 2022
PubMed Record

Abstract

The Adolescent Brain Cognitive Development (ABCD) Neurocognitive Prediction Challenge (ABCD-NP-Challenge) is a community-driven competition that challenges competitors to develop algorithms to predict fluid intelligence scores from T1-w MRI images. In this work, a two-step deep learning pipeline is proposed to improve the prediction accuracy of fluid intelligence scores. In terms of the first step, the main contributions of this study include the following: (1) the concepts of the residual network (ResNet) and the squeeze-and-excitation network (SENet) are utilized to improve the original 3D U-Net; (2) in the segmentation process, the pixels in symmetrical brain regions are assigned the same label; (3) to remove redundant background information from the segmented regions of interest (ROIs), a minimum bounding cube (MBC) is used to enclose the ROIs. This new segmentation structure can greatly improve the segmentation performance of the ROIs in the brain as compared with the classical convolutional neural network (CNN), which yields a Dice coefficient of 0.8920. In the second stage, MBCs are used to train neural network regression models for enhanced nonlinearity. The fluid intelligence score prediction results of the proposed method are found to be superior to those of current state-of-the-art approaches, and the proposed method achieves a mean square error (MSE) of 82.56 on a test data set, which reflects a very competitive performance.

Journal

PloS one

Published

2022/08/02

Authors

Li M, Jiang M, Zhang G, Liu Y, Zhou X

Keywords

DOI

10.1371/journal.pone.0268707
Toggle Using Explainable Artificial Intelligence to Discover Interactions in an Ecological Model for Obesity. International journal of environmental research and public health Allen B, Lane M, Steeves EA, et al. 2022
PubMed Record

Abstract

Ecological theories suggest that environmental, social, and individual factors interact to cause obesity. Yet, many analytic techniques, such as multilevel modeling, require manual specification of interacting factors, making them inept in their ability to search for interactions. This paper shows evidence that an explainable artificial intelligence approach, commonly employed in genomics research, can address this problem. The method entails using random intersection trees to decode interactions learned by random forest models. Here, this approach is used to extract interactions between features of a multi-level environment from random forest models of waist-to-height ratios using 11,112 participants from the Adolescent Brain Cognitive Development study. This study shows that methods used to discover interactions between genes can also discover interacting features of the environment that impact obesity. This new approach to modeling ecosystems may help shine a spotlight on combinations of environmental features that are important to obesity, as well as other health outcomes.

Journal

International journal of environmental research and public health

Published

2022/08/02

Authors

Allen B, Lane M, Steeves EA, Raynor H

Keywords

adolescent obesity, ecological theory, explainable artificial intelligence, household income, machine learning, neighborhood education, neighborhood poverty, parent education

DOI

10.3390/ijerph19159447
Toggle Longitudinal Assessments of Neurocognitive Performance and Brain Structure Associated With Initiation of Tobacco Use in Children, 2016 to 2021. JAMA network open Dai HD, Doucet GE, Wang Y, et al. 2022
PubMed Record

Abstract

The landscape of tobacco use is changing. However, information about the association between early-age tobacco use and cognitive performances is limited, especially for emerging tobacco products such as electronic cigarettes (e-cigarettes).

Journal

JAMA network open

Published

2022/08/01

Authors

Dai HD, Doucet GE, Wang Y, Puga T, Samson K, Xiao P, Khan AS

Keywords

DOI

10.1001/jamanetworkopen.2022.25991
Toggle Assessment of Parent Income and Education, Neighborhood Disadvantage, and Child Brain Structure. JAMA network open Rakesh D, Zalesky A, Whittle S 2022
PubMed Record

Abstract

Although different aspects of socioeconomic status (SES) may represent distinct risk factors for poor mental health in children, knowledge of their differential and synergistic associations with the brain is limited.

Journal

JAMA network open

Published

2022/08/01

Authors

Rakesh D, Zalesky A, Whittle S

Keywords

DOI

10.1001/jamanetworkopen.2022.26208
Toggle Effects of sleep duration on neurocognitive development in early adolescents in the USA: a propensity score matched, longitudinal, observational study. The Lancet. Child & adolescent health Yang FN, Xie W, Wang Z 2022
PubMed Record

Abstract

Although the American Academy of Sleep Medicine suggests at least 9 h of sleep per day for 6-12-year-olds, children in recent generations often report sleeping less than this amount. Because early adolescence is a crucial period for neurocognitive development, we aimed to investigate how insufficient sleep affects children’s mental health, cognition, brain function, and brain structure over 2 years.

Journal

The Lancet. Child & adolescent health

Published

2022/07/30

Authors

Yang FN, Xie W, Wang Z

Keywords

DOI

10.1016/S2352-4642(22)00188-2
Toggle Longitudinally stable, brain-based predictive models mediate the relationships between childhood cognition and socio-demographic, psychological and genetic factors. Human brain mapping Pat N, Wang Y, Anney R, et al. 2022
PubMed Record

Abstract

Cognitive abilities are one of the major transdiagnostic domains in the National Institute of Mental Health’s Research Domain Criteria (RDoC). Following RDoC’s integrative approach, we aimed to develop brain-based predictive models for cognitive abilities that (a) are developmentally stable over years during adolescence and (b) account for the relationships between cognitive abilities and socio-demographic, psychological and genetic factors. For this, we leveraged the unique power of the large-scale, longitudinal data from the Adolescent Brain Cognitive Development (ABCD) study (n ~ 11 k) and combined MRI data across modalities (task-fMRI from three tasks: resting-state fMRI, structural MRI and DTI) using machine-learning. Our brain-based, predictive models for cognitive abilities were stable across 2 years during young adolescence and generalisable to different sites, partially predicting childhood cognition at around 20% of the variance. Moreover, our use of ‘opportunistic stacking’ allowed the model to handle missing values, reducing the exclusion from around 80% to around 5% of the data. We found fronto-parietal networks during a working-memory task to drive childhood-cognition prediction. The brain-based, predictive models significantly, albeit partially, accounted for variance in childhood cognition due to (1) key socio-demographic and psychological factors (proportion mediated = 18.65% [17.29%-20.12%]) and (2) genetic variation, as reflected by the polygenic score of cognition (proportion mediated = 15.6% [11%-20.7%]). Thus, our brain-based predictive models for cognitive abilities facilitate the development of a robust, transdiagnostic research tool for cognition at the neural level in keeping with the RDoC’s integrative framework.

Journal

Human brain mapping

Published

2022/07/28

Authors

Pat N, Wang Y, Anney R, Riglin L, Thapar A, Stringaris A

Keywords

adolescent brain cognitive development, general cognition, longitudinal large-scale data, machine learning, multimodal MRI, polygenic score, research domain criteria

DOI

10.1002/hbm.26027