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).
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Title | Journal | Authors | Year | Details |
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Toggle | Developmental brain changes during puberty and associations with mental health problems. | Developmental cognitive neuroscience | Dehestani N, Whittle S, Vijayakumar N, et al. | 2023 | |
PubMed Record
AbstractOur understanding of the mechanisms relating pubertal timing to mental health problems via brain development remains rudimentary. JournalDevelopmental cognitive neurosciencePublished2023/03/09AuthorsDehestani N, Whittle S, Vijayakumar N, Silk TJKeywordsBrain age, Brain development, Mental health problems, Pubertal timing, PubertyDOI10.1016/j.dcn.2023.101227 |
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Toggle | Gender diversity associated with patterns of brain activation seen in populations that experience childhood stress. | Frontiers in integrative neuroscience | Loso H, Chaarani B, Dube SL, et al. | 2023 | |
PubMed Record
AbstractStressful childhood experiences are associated with unique brain activity patterns during emotional processing. Specifically, pediatric stress is linked to activation in the insulae, superior temporal and parahippocampal gyri, and the amygdalae, as well as differential activation in the dorsal anterior cingulate cortex when viewing emotional faces. Gender diversity is broadly associated with higher victimization and mental health disparities in children aged 9/10, but whether it is associated with stress-like alterations in brain function (BOLD signal during task-based fMRI) remains unknown. We investigate the functional brain correlates of this relationship to determine if gender-diverse youth show patterns of functional activity during an emotional task consistent with those of other populations that experience heightened stress. JournalFrontiers in integrative neurosciencePublished2023/03/09AuthorsLoso H, Chaarani B, Dube SL, Albaugh MD, Cheaito A, Garavan H, Potter AKeywordsABCD, BOLD (blood oxygenation level dependent) signal, fMRI, gender diversity, stressDOI10.3389/fnint.2023.1084748 |
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Toggle | Multivariate BWAS can be replicable with moderate sample sizes. | Nature | Spisak T, Bingel U, Wager TD | 2023 | |
PubMed Record
AbstractJournalNaturePublished2023/03/08AuthorsSpisak T, Bingel U, Wager TDKeywordsDOI10.1038/s41586-023-05745-x |
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Toggle | Multi-ancestry phenome-wide association of complement component 4 variation with psychiatric and brain phenotypes in youth. | Genome biology | Hernandez LM, Kim M, Zhang P, et al. | 2023 | |
PubMed Record
AbstractIncreased expression of the complement component 4A (C4A) gene is associated with a greater lifetime risk of schizophrenia. In the brain, C4A is involved in synaptic pruning; yet, it remains unclear the extent to which upregulation of C4A alters brain development or is associated with the risk for psychotic symptoms in childhood. Here, we perform a multi-ancestry phenome-wide association study in 7789 children aged 9-12 years to examine the relationship between genetically regulated expression (GREx) of C4A, childhood brain structure, cognition, and psychiatric symptoms. JournalGenome biologyPublished2023/03/07AuthorsHernandez LM, Kim M, Zhang P, Bethlehem RAI, Hoftman G, Loughnan R, Smith D, Bookheimer SY, Fan CC, Bearden CE, Thompson WK, Gandal MJKeywordsBrain, Complement, Gene expression, Genetics, Neuroimaging, Psychosis, SchizophreniaDOI10.1186/s13059-023-02878-0 |
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Toggle | Problematic social media use and alcohol expectancies in early adolescents. | BMC public health | Nagata JM, Smith N, Zamora G, et al. | 2023 | |
PubMed Record
AbstractAlcohol expectancies are beliefs regarding positive (e.g., tension reduction) or negative (e.g., loss of motor coordination) effects of alcohol. Based on Social Learning Theory, social media can influence alcohol expectancies in adolescents. In particular, problematic social media use – which can reflect elements of addiction, including mood modification, tolerance, withdrawal, conflict, and relapse – could be linked to alcohol expectancies. We aimed to determine the associations between problematic social media use and alcohol expectancies in a national (U.S.) cohort of 10-14-year-old early adolescents. JournalBMC public healthPublished2023/03/06AuthorsNagata JM, Smith N, Zamora G, Sajjad OM, Ganson KT, Testa A, Jackson DBKeywordsAdolescents, Alcohol expectancies, Problematic media use, Social mediaDOI10.1186/s12889-023-15298-3 |
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Toggle | Gut-Brain Axis Perspective on Negative Symptoms and Their Neighbors in Early Adolescence: Can We Move Care Upstream? | Journal of psychosocial nursing and mental health services | Ford SH, Bruckner L, Thoyre S, et al. | 2023 | |
PubMed Record
AbstractThe current study investigated symptom network patterns in adolescents from a gut-brain-axis (GBA) biopsychosocial perspective. Our secondary analysis of data from the Adolescent Brain Cognitive Development Study assessed symptom relationships using network analysis to provide information about multivariate structural dependencies among 41 signs and symptoms. Cross-sectional EBICglasso symptom networks were evaluated to assess patterns associated with anhedonia and depressed mood. Significant differences were identified between symptom neighbors of anhedonia compared with depressed mood based on stratification by age. The GBA perspective revealed several symptom neighbors that could expand clinical assessment, diagnosing criteria, education, and interventions for adolescents at risk for, or with, anhedonia or depressed mood. Results speak to the unique impact of symptoms on health that are not interchangeable with other symptoms and do not have equal effects. Mental health nurses should consider a holistic and proactive precision health approach to improving health and well-being through evidence-based assessment of symptom associations. [(7), 29-38.]. JournalJournal of psychosocial nursing and mental health servicesPublished2023/03/05AuthorsFord SH, Bruckner L, Thoyre S, Baker MJ, Bartlett TR, Hodges EAKeywordsDOI10.3928/02793695-20230221-03 |
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Toggle | Getting a Good Night's Sleep: Associations Between Sleep Duration and Parent-Reported Sleep Quality on Default Mode Network Connectivity in Youth. | The Journal of adolescent health : official publication of the Society for Adolescent Medicine | Hehr A, Huntley ED, Marusak HA | 2023 | |
PubMed Record
AbstractSleep plays an important role in healthy neurocognitive development, and poor sleep is linked to cognitive and emotional dysfunction. Studies in adults suggest that shorter sleep duration and poor sleep quality may disrupt core neurocognitive networks, particularly the default mode network (DMN)-a network implicated in internal cognitive processing and rumination. Here, we examine the relationships between sleep and within- and between-network resting-state functional connectivity (rs-FC) of the DMN in youth. JournalThe Journal of adolescent health : official publication of the Society for Adolescent MedicinePublished2023/03/03AuthorsHehr A, Huntley ED, Marusak HAKeywordsDefault mode network, Dorsal attention network, Frontoparietal network, Resting-state functional connectivity, Salience network, Sleep disturbancesDOI10.1016/j.jadohealth.2023.01.010 |
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Toggle | COVID-19 Policies, Pandemic Disruptions, and Changes in Child Mental Health and Sleep in the United States. | JAMA network open | Xiao Y, Brown TT, Snowden LR, et al. | 2023 | |
PubMed Record
AbstractThe adverse effects of COVID-19 containment policies disrupting child mental health and sleep have been debated. However, few current estimates correct biases of these potential effects. JournalJAMA network openPublished2023/03/01AuthorsXiao Y, Brown TT, Snowden LR, Chow JC, Mann JJKeywordsDOI10.1001/jamanetworkopen.2023.2716 |
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Toggle | Machine Learning-Based Prediction of Attention-Deficit/Hyperactivity Disorder and Sleep Problems With Wearable Data in Children. | JAMA network open | Kim WP, Kim HJ, Pack SP, et al. | 2023 | |
PubMed Record
AbstractEarly detection of attention-deficit/hyperactivity disorder (ADHD) and sleep problems is paramount for children’s mental health. Interview-based diagnostic approaches have drawbacks, necessitating the development of an evaluation method that uses digital phenotypes in daily life. JournalJAMA network openPublished2023/03/01AuthorsKim WP, Kim HJ, Pack SP, Lim JH, Cho CH, Lee HJKeywordsDOI10.1001/jamanetworkopen.2023.3502 |
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Toggle | Association of Demographic and Socioeconomic Indicators With the Use of Wearable Devices Among Children. | JAMA network open | Kim EH, Jenness JL, Miller AB, et al. | 2023 | |
PubMed Record
AbstractThe use of consumer-grade wearable devices for collecting data for biomedical research may be associated with social determinants of health (SDoHs) linked to people’s understanding of and willingness to join and remain engaged in remote health studies. JournalJAMA network openPublished2023/03/01AuthorsKim EH, Jenness JL, Miller AB, Halabi R, de Zambotti M, Bagot KS, Baker FC, Pratap AKeywordsDOI10.1001/jamanetworkopen.2023.5681 |
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Toggle | Reply to: Multivariate BWAS can be replicable with moderate sample sizes. | Nature | Tervo-Clemmens B, Marek S, Chauvin RJ, et al. | 2023 | |
PubMed Record
AbstractJournalNaturePublished2023/03/01AuthorsTervo-Clemmens B, Marek S, Chauvin RJ, Van AN, Kay BP, Laumann TO, Thompson WK, Nichols TE, Yeo BTT, Barch DM, Luna B, Fair DA, Dosenbach NUFKeywordsDOI10.1038/s41586-023-05746-w |
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Toggle | Social problems and brain structure development following childhood mild traumatic brain injury. | Cortex; a journal devoted to the study of the nervous system and behavior | Dégeilh F, von Soest T, Ferschmann L, et al. | 2023 | |
PubMed Record
AbstractChildhood mild traumatic brain injury (mTBI) is associated with elevated risk of developing social problems, which may be underpinned by changes in the structural developmental trajectory of the social brain, a network of cortical regions supporting social cognition and behavior. However, limited sample sizes and cross-sectional designs generally used in neuroimaging studies of pediatric TBI have prevented explorations of this hypothesis. This longitudinal retrospective study examined the development of parent-reported social problems and cortical thickness in social brain regions following childhood mTBI using data from the large population-based Adolescent Brain Cognitive Development (ABCD) Study. Two-group latent change score models revealed different developmental trajectories from ages 10-12 years in the level of social problems between children with (n = 345) and without (n = 7,089) mTBI. Children with mTBI showed higher, but non-clinical, levels of social problems than controls at age 10. Then, social problems decreased over 2 years, but still remained higher, but non-clinical, than in controls in which they stayed stable. Both groups showed similar decreases in social brain cortical thickness between ages 10 and 12 years. Further studies providing detailed information on the injury mechanism and acute symptoms are needed to better understand individual differences in social functioning and brain development in pediatric TBI. JournalCortex; a journal devoted to the study of the nervous system and behaviorPublished2023/02/27AuthorsDégeilh F, von Soest T, Ferschmann L, Beer JC, Gaubert M, Koerte IK, Tamnes CKKeywordsBrain development, Concussion, Cortical thickness, Social problems, Traumatic brain injuryDOI10.1016/j.cortex.2023.02.003 |
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Toggle | The beneficial effect of sleep on behavioral health problems in youth is disrupted by prenatal cannabis exposure: A causal random forest analysis of Adolescent Brain Cognitive Development data. | Child development | Spechler PA, Gutierrez RM, Tapert SF, et al. | 2023 | |
PubMed Record
AbstractStudies suggest prenatal cannabis exposure is associated with mood/behavioral problems in children. However, it is unclear if targeting modifiable domains like sleep behaviors would improve outcomes in exposed youth. Using a causal inference framework, the effect of changing sleep-hours on changing internalizing/externalizing problems in children was examined using the Adolescent Brain Cognitive Development™ study baseline (ages 9-10; collected during 2016-2018) and year-1 follow-up data (N = 9825; 4663 female; 5196 white). Average treatment effects (ATE) indicated that more sleep predicted less internalizing (ATE = -.34, SE = .08, p < .001) and externalizing (ATE = -.29, SE = .07, p < .001) problems over time. However, prenatal cannabis exposure moderated the ATE on internalizing (conditional-ATE = .91, SE = .39, p = .019), whereby participants with exposure (n = 605) did not show any effect of changing sleep-hours on mood (B = .09, SE = .24). JournalChild developmentPublished2023/02/24AuthorsSpechler PA, Gutierrez RM, Tapert SF, Thompson WK, Paulus MPKeywordsDOI10.1111/cdev.13899 |
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Toggle | The role of brain structure in the association between pubertal timing and depression risk in an early adolescent sample (the ABCD Study®): A registered report. | Developmental cognitive neuroscience | MacSweeney N, Allardyce J, Edmondson-Stait A, et al. | 2023 | |
PubMed Record
AbstractEarlier pubertal timing is associated with higher rates of depressive disorders in adolescence. Neuroimaging studies report brain structural associations with both pubertal timing and depression. However, whether brain structure mediates the relationship between pubertal timing and depression remains unclear. JournalDevelopmental cognitive neurosciencePublished2023/02/24AuthorsMacSweeney N, Allardyce J, Edmondson-Stait A, Shen X, Casey H, Chan SWY, Cullen B, Reynolds RM, Frangou S, Kwong ASF, Lawrie SM, Romaniuk L, Whalley HCKeywordsABCD Study, Adolescent depression, Brain structure, Pubertal timingDOI10.1016/j.dcn.2023.101223 |
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Toggle | Erratum to: Morphology of the prefrontal cortex predicts body composition in early adolescence: cognitive mediators and environmental moderators in the ABCD Study. | Social cognitive and affective neuroscience | Hall PA, Best JR, Beaton EA, et al. | 2023 | |
PubMed Record
AbstractJournalSocial cognitive and affective neurosciencePublished2023/02/23AuthorsHall PA, Best JR, Beaton EA, Sakib MN, Danckert JKeywordsDOI10.1093/scan/nsac002 |
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Toggle | Population level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among children. | Frontiers in neuroscience | Lin H, Haider SP, Kaltenhauser S, et al. | 2023 | |
PubMed Record
AbstractLeveraging a large population-level morphologic, microstructural, and functional neuroimaging dataset, we aimed to elucidate the underlying neurobiology of attention-deficit hyperactivity disorder (ADHD) in children. In addition, we evaluated the applicability of machine learning classifiers to predict ADHD diagnosis based on imaging and clinical information. JournalFrontiers in neurosciencePublished2023/02/22AuthorsLin H, Haider SP, Kaltenhauser S, Mozayan A, Malhotra A, Constable RT, Scheinost D, Ment LR, Konrad K, Payabvash SKeywordsattention-deficient hyperactivity disorder, brain connectivity, cortex morphology, machine learning, white matter microstructureDOI10.3389/fnins.2023.1138670 |
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Toggle | Linking brain maturation and puberty during early adolescence using longitudinal brain age prediction in the ABCD cohort. | Developmental cognitive neuroscience | Holm MC, Leonardsen EH, Beck D, et al. | 2023 | |
PubMed Record
AbstractThe temporal characteristics of adolescent neurodevelopment are shaped by a complex interplay of genetic, biological, and environmental factors. Using a large longitudinal dataset of children aged 9-13 from the Adolescent Brain Cognitive Development (ABCD) study we tested the associations between pubertal status and brain maturation. Brain maturation was assessed using brain age prediction based on convolutional neural networks and minimally processed T1-weighted structural MRI data. Brain age prediction provided highly accurate and reliable estimates of individual age, with an overall mean absolute error of 0.7 and 1.4 years at the two timepoints respectively, and an intraclass correlation of 0.65. Linear mixed effects (LME) models accounting for age and sex showed that on average, a one unit increase in pubertal maturational level was associated with a 2.22 months higher brain age across time points (β = 0.10, p < .001). Moreover, annualized change in pubertal development was weakly related to the rate of change in brain age (β = .047, p = 0.04). These results demonstrate a link between sexual development and brain maturation in early adolescence, and provides a basis for further investigations of the complex sociobiological impacts of puberty on life outcomes. JournalDevelopmental cognitive neurosciencePublished2023/02/22AuthorsHolm MC, Leonardsen EH, Beck D, Dahl A, Kjelkenes R, de Lange AG, Westlye LTKeywordsAdolescence, Brain age, Puberty, Sex-differenceDOI10.1016/j.dcn.2023.101220 |
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Toggle | Genetic risk for obesity impacts the brain and behavior in youth | Nature Mental Health | Bakoyiannis J | 2023 | |
Link to Publication
AbstractObesity pandemic is reaching an alarming level globally, including in childhood, with a strong tendency to carry it over in adulthood. Obesity induces deleterious neurobiological outcomes; however, Morys et al. investigated how genetic predisposition to obesity — not obesity itself — impacts the brain and behavior. “We focused on children, as the effects of chronic obesity on the brain are possibly low, so any brain changes associated with genetic risk for obesity would likely constitute vulnerability factors rather than secondary effects of obesity,” explains Filip Morys, the first author of the study. JournalNature Mental HealthPublished2023/02/17AuthorsBakoyiannis JKeywordsDOIhttps://doi.org/10.1038/s44220-023-00020-4 |
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Toggle | Acculturative Orientations Among Hispanic/Latinx Caregivers in the ABCD Study: Associations With Caregiver and Youth Mental Health and Youth Brain Function. | Biological psychiatry global open science | Meca A, Peraza JA, Riedel MC, et al. | 2023 | |
PubMed Record
AbstractPopulation-based neuroscience offers opportunities to examine important but understudied sociocultural factors such as acculturation. Acculturation refers to the extent to which an individual retains their cultural heritage and/or adopts the receiving society’s culture and is particularly salient among Hispanic/Latinx immigrants. Specific acculturative orientations have been linked to vulnerability to substance use, depression, and suicide and are known to influence family dynamics between caregivers and their children. JournalBiological psychiatry global open sciencePublished2023/02/17AuthorsMeca A, Peraza JA, Riedel MC, Hale W, Pettit JW, Musser ED, Salo T, Flannery JS, Bottenhorn KL, Dick AS, Pintos Lobo R, Ucros LM, Greaves CA, Hawes SW, Sanchez M, Gonzalez MR, Sutherland MT, Gonzalez R, Laird ARKeywordsABCD study, Acculturation, Bicultural, Family systems, Hispanic/Latinx, Resting-state fMRIDOI10.1016/j.bpsgos.2023.02.005 |
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Toggle | Screen time and suicidal behaviors among U.S. children 9-11 years old: A prospective cohort study. | Preventive medicine | Chu J, Ganson KT, Baker FC, et al. | 2023 | |
PubMed Record
AbstractSuicide is a leading cause of death among adolescents. Emerging literature has described relationships between excessive screen time and suicidal behaviors, though findings have been mixed. The objective of this study is to determine the prospective associations between screen time and suicidal behaviors two-years later in a national (U.S.) cohort of 9-11-year-old-children. We analyzed prospective cohort data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 11,633). Logistic regression analyses were estimated to determine the associations between baseline self-reported screen time (exposure) and suicidal behaviors (outcome) based on the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-5) at two-year-follow-up. Participants reported an average of 4.0 h of total screen time per day at baseline. At two-year-follow-up, 1.38% of the sample reported at least one suicidal behavior. Each additional hour of total screen time was prospectively associated with 1.09 higher odds of suicidal behaviors at 2-year-follow-up (95% CI 1.03-1.14), after adjusting for covariates. For specific screen time modalities, each additional hour of texting (aOR 1.36, 95% CI 1.06-1.74), video chatting (aOR 1.30, 95% CI 1.03-1.65), watching videos (aOR 1.21, 95% CI 1.04-1.39), and playing video games (aOR 1.18, 95% CI 1.01-1.38) was associated with higher odds of subsequent suicidal behaviors. Higher screen time is associated with higher odds of reporting suicidal behaviors at two-year-follow-up. Future research should seek to identify how specific screen time experiences may influence suicidal behaviors. JournalPreventive medicinePublished2023/02/17AuthorsChu J, Ganson KT, Baker FC, Testa A, Jackson DB, Murray SB, Nagata JMKeywordsAdolescent health, Mental health, Screen time, Suicidal behaviors, Suicide, Texting, Video gamesDOI10.1016/j.ypmed.2023.107452 |
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Toggle | Adverse childhood experiences and sipping alcohol in U.S. Children: Findings from the Adolescent Brain Cognitive Development study. | Preventive medicine reports | Nagata JM, Smith N, Sajjad OM, et al. | 2023 | |
PubMed Record
AbstractThe objective of this study was to explore the relationship between accumulating adverse childhood experiences (ACEs) and sipping alcohol in a large, nationwide sample of 9-to-10-year-old U.S. children. We analyzed data from the Adolescent Brain Cognitive Development (ABCD) Study (2016-2018). Of 10,853 children (49.1 % female), 23.4 % reported ever sipping alcohol. A greater ACE score was associated with a higher risk of sipping alcohol. Having 4 or more ACEs placed children at 1.27 times the risk (95 % CI 1.11-1.45) of sipping alcohol compared to children with no ACEs. Among the nine distinct ACEs examined, household violence (Risk Ratio [RR] = 1.13, 95 % CI 1.04-1.22) and household alcohol abuse (RR = 1.14, 95 % CI 1.05-1.22) were associated with sipping alcohol during childhood. Our findings indicate a need for increased clinical attention to alcohol sipping among ACE-exposed children. JournalPreventive medicine reportsPublished2023/02/17AuthorsNagata JM, Smith N, Sajjad OM, Zamora G, Raney JH, Ganson KT, Testa A, Vittinghoff E, Jackson DBKeywordsABCD, Adolescent Brain and Cognitive Development study, ACEs, Adverse childhood experiences, Adverse childhood experiences, Alcohol, Childhood, Pediatrics, Sipping, Substance useDOI10.1016/j.pmedr.2023.102153 |
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Toggle | Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity. | NeuroImage | Zhao W, Makowski C, Hagler DJ, et al. | 2023 | |
PubMed Record
AbstractCharacterizing the optimal fMRI paradigms for detecting behaviorally relevant functional connectivity (FC) patterns is a critical step to furthering our knowledge of the neural basis of behavior. Previous studies suggested that FC patterns derived from task fMRI paradigms, which we refer to as task-based FC, are better correlated with individual differences in behavior than resting-state FC, but the consistency and generalizability of this advantage across task conditions was not fully explored. Using data from resting-state fMRI and three fMRI tasks from the Adolescent Brain Cognitive Development Study ® (ABCD), we tested whether the observed improvement in behavioral prediction power of task-based FC can be attributed to changes in brain activity induced by the task design. We decomposed the task fMRI time course of each task into the task model fit (the fitted time course of the task condition regressors from the single-subject general linear model) and the task model residuals, calculated their respective FC, and compared the behavioral prediction performance of these FC estimates to resting-state FC and the original task-based FC. The FC of the task model fit was better than the FC of the task model residual and resting-state FC at predicting a measure of general cognitive ability or two measures of performance on the fMRI tasks. The superior behavioral prediction performance of the FC of the task model fit was content-specific insofar as it was only observed for fMRI tasks that probed similar cognitive constructs to the predicted behavior of interest. To our surprise, the task model parameters, the beta estimates of the task condition regressors, were equally if not more predictive of behavioral differences than all FC measures. These results showed that the observed improvement of behavioral prediction afforded by task-based FC was largely driven by the FC patterns associated with the task design. Together with previous studies, our findings highlighted the importance of task design in eliciting behaviorally meaningful brain activation and FC patterns. JournalNeuroImagePublished2023/02/17AuthorsZhao W, Makowski C, Hagler DJ, Garavan HP, Thompson WK, Greene DJ, Jernigan TL, Dale AMKeywordsBehavioral differences, Behavioral inhibition, Cognitive development, Functional connectivity, Predictive modelingDOI10.1016/j.neuroimage.2023.119946 |
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Toggle | Gene-by-Environment Interaction Effects of Social Adversity on Externalizing Behavior in ABCD Youth. | Behavior genetics | Dash GF, Karalunas SL, Kenyon EA, et al. | 2023 | |
PubMed Record
AbstractThis study tested whether multiple domains of social adversity, including neighborhood opportunity/deprivation and life stress, moderate genetic (A), common environmental (C), and unique environmental (E) influences on externalizing behaviors in 760 same-sex twin pairs (332 monozygotic; 428 dizygotic) ages 10-11 from the ABCD Study. Proportion of C influences on externalizing behavior increased at higher neighborhood adversity (lower overall opportunity). A decreased and C and E increased at lower levels of educational opportunity. A increased at lower health-environment and social-economic opportunity levels. For life stress, A decreased and E increased with number of experienced events. Results for educational opportunity and stressful life experiences suggest a bioecological gene-environment interaction pattern such that environmental influences predominate at higher levels of adversity, whereas limited access to healthcare, housing, and employment stability may potentiate genetic liability for externalizing behavior via a diathesis-stress mechanism. More detailed operationalization of social adversity in gene-environment interaction studies is needed. JournalBehavior geneticsPublished2023/02/16AuthorsDash GF, Karalunas SL, Kenyon EA, Carter EK, Mooney MA, Nigg JT, Feldstein Ewing SWKeywordsABCD, Externalizing, Gene-environment interaction, Life stress, Social adversity, Twin studyDOI10.1007/s10519-023-10136-z |
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Toggle | Negative impact of daily screen use on inhibitory control network in preadolescence: A two-year follow-up study. | Developmental cognitive neuroscience | Chen YY, Yim H, Lee TH | 2023 | |
PubMed Record
AbstractThe COVID-19 pandemic has made an unprecedented shift in children’s daily lives. Children are increasingly spending time with screens to learn and connect with others. As the online environment rapidly substitutes in-person experience, understanding children’s neuropsychological trajectories associated with screen experiences is important. Previous findings suggest that excessive screen use can lead children to prefer more immediate rewards over delayed outcomes. We hypothesized that increased screen time delays a child’s development of inhibitory control system in the brain (i.e., fronto-striatal circuitry). By analyzing neuropsychological data from 8324 children (9-11ys) from the ABCD Study, we found that children who had more screen time showed a higher reward orientation and weaker fronto-striatal connectivity. Importantly, we found that the daily screen exposure mediated the effect of reward sensitivity on the development of the inhibitory control system in the brain over a two year period. These findings suggest possible negative long-term impacts of increased daily screen time on children’s neuropsychological development. The results further demonstrated that screen time influences dorsal striatum connectivity, which suggests that the effect of daily screen use is a habitual seeking behavior. The study provides neural and behavioral evidence for the negative impact of daily screen use on developing children. JournalDevelopmental cognitive neurosciencePublished2023/02/16AuthorsChen YY, Yim H, Lee THKeywordsChild development, Fronto-parietal network, Fronto-striatal circuits, Inhibitory control, Screen time, StriatumDOI10.1016/j.dcn.2023.101218 |
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Toggle | The subcortical correlates of autistic traits in school-age children: a population-based neuroimaging study. | Molecular autism | Sharp TH, Elsabbagh M, Pickles A, et al. | 2023 | |
PubMed Record
AbstractThere is emerging evidence that the neuroanatomy of autism forms a spectrum which extends into the general population. However, whilst several studies have identified cortical morphology correlates of autistic traits, it is not established whether morphological differences are present in the subcortical structures of the brain. Additionally, it is not clear to what extent previously reported structural associations may be confounded by co-occurring psychopathology. To address these questions, we utilised neuroimaging data from the Adolescent Brain Cognitive Development Study to assess whether a measure of autistic traits was associated with differences in child subcortical morphology, and if any observed differences persisted after adjustment for child internalising and externalising symptoms. JournalMolecular autismPublished2023/02/11AuthorsSharp TH, Elsabbagh M, Pickles A, Bedford RKeywordsABCD, Autism, Autistic traits, Brain morphology, MRI, Neuroimaging, SubcortexDOI10.1186/s13229-023-00538-5 |
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Toggle | Youth Team Sports Participation Associates With Reduced Dimensional Psychopathology Through Interaction With Biological Risk Factors. | Biological psychiatry global open science | Kunitoki K, Hughes D, Elyounssi S, et al. | 2023 | |
PubMed Record
AbstractPhysical activity is associated with mental health benefits in youth. Here, we used causal inference and triangulation with 2 levels of biology to substantiate relationships between sports participation and dimensional psychopathology in youths. JournalBiological psychiatry global open sciencePublished2023/02/10AuthorsKunitoki K, Hughes D, Elyounssi S, Hopkinson CE, Bazer OM, Eryilmaz H, Dunn EC, Lee PH, Doyle AE, Roffman JLKeywordsDimensional psychopathology, Gene-environment interaction, Physical activity, Polygenic risk scores, Subcortical volumeDOI10.1016/j.bpsgos.2023.02.001 |
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Toggle | Heritability of Childhood Music Engagement and Associations with Language and Executive Function: Insights from the Adolescent Brain Cognitive Development (ABCD) Study. | Behavior genetics | Gustavson DE, Nayak S, Coleman PL, et al. | 2023 | |
PubMed Record
AbstractMusic engagement is a powerful, influential experience that often begins early in life. Music engagement is moderately heritable in adults (~ 41-69%), but fewer studies have examined genetic influences on childhood music engagement, including their association with language and executive functions. Here we explored genetic and environmental influences on music listening and instrument playing (including singing) in the baseline assessment of the Adolescent Brain Cognitive Development study. Parents reported on their 9-10-year-old children’s music experiences (N = 11,876 children; N = 1543 from twin pairs). Both music measures were explained primarily by shared environmental influences. Instrument exposure (but not frequency of instrument engagement) was associated with language skills (r = .27) and executive functions (r = .15-0.17), and these associations with instrument engagement were stronger than those for music listening, visual art, or soccer engagement. These findings highlight the role of shared environmental influences between early music experiences, language, and executive function, during a formative time in development. JournalBehavior geneticsPublished2023/02/09AuthorsGustavson DE, Nayak S, Coleman PL, Iversen JR, Lense MD, Gordon RL, Maes HHKeywordsExecutive control, Heritability, Language skill, Musicality, Twin studyDOI10.1007/s10519-023-10135-0 |
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Toggle | Brain Structure Relations With Psychopathology Trajectories in the ABCD Study. | Journal of the American Academy of Child and Adolescent Psychiatry | Romer AL, Ren B, Pizzagalli DA | 2023 | |
PubMed Record
AbstractA general psychopathology (p) factor captures shared variation across mental disorders. Structural neural alterations have been associated with the p factor concurrently, but less is known about whether these alterations relate to within-person change in the p factor over time, especially during preadolescence, a period of neurodevelopmental changes. JournalJournal of the American Academy of Child and Adolescent PsychiatryPublished2023/02/09AuthorsRomer AL, Ren B, Pizzagalli DAKeywordsbrain structure, general psychopathology, longitudinal, p factor, transdiagnosticDOI10.1016/j.jaac.2023.02.002 |
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Toggle | Multiple measurement analysis of resting-state fMRI for ADHD classification in adolescent brain from the ABCD study. | Translational psychiatry | Wang Z, Zhou X, Gui Y, et al. | 2023 | |
PubMed Record
AbstractAttention deficit hyperactivity disorder (ADHD) is one of the most common psychiatric disorders in school-aged children. Its accurate diagnosis looks after patients’ interests well with effective treatment, which is important to them and their family. Resting-state functional magnetic resonance imaging (rsfMRI) has been widely used to characterize the abnormal brain function by computing the voxel-wise measures and Pearson’s correlation (PC)-based functional connectivity (FC) for ADHD diagnosis. However, exploring the powerful measures of rsfMRI to improve ADHD diagnosis remains a particular challenge. To this end, this paper proposes an automated ADHD classification framework by fusion of multiple measures of rsfMRI in adolescent brain. First, we extract the voxel-wise measures and ROI-wise time series from the brain regions of rsfMRI after preprocessing. Then, to extract the multiple functional connectivities, we compute the PC-derived FCs including the topographical information-based high-order FC (tHOFC) and dynamics-based high-order FC (dHOFC), the sparse representation (SR)-derived FCs including the group SR (GSR), the strength and similarity guided GSR (SSGSR), and sparse low-rank (SLR). Finally, these measures are combined with multiple kernel learning (MKL) model for ADHD classification. The proposed method is applied to the Adolescent Brain and Cognitive Development (ABCD) dataset. The results show that the FCs of dHOFC and SLR perform better than the others. Fusing multiple measures achieves the best classification performance (AUC = 0.740, accuracy = 0.6916), superior to those from the single measure and the previous studies. We have identified the most discriminative FCs and brain regions for ADHD diagnosis, which are consistent with those of published literature. JournalTranslational psychiatryPublished2023/02/06AuthorsWang Z, Zhou X, Gui Y, Liu M, Lu HKeywordsDOI10.1038/s41398-023-02309-5 |
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Toggle | Effects of prenatal cannabis exposure on developmental trajectory of cognitive ability and brain volumes in the adolescent brain cognitive development (ABCD) study. | Developmental cognitive neuroscience | Hiraoka D, Makita K, Hamatani S, et al. | 2023 | |
PubMed Record
AbstractAlthough cannabis use during pregnancy is increasing widely, the effects of cannabis on developmental trajectories, such as whether its effects during pregnancy remain the same between time points or gradually increase, are unclear. This study aimed to examine whether cannabis use during pregnancy affects the process of change in cognition and brain volume. Data from two-time points measured longitudinally were analyzed. We used data from the Adolescent Brain and Cognitive Development Study. Participants included 11,876 children aged 9-11 years participated at baseline, and 10,414 participated at 2-year follow-up from 22 sites across the United States. We explored the associations between prenatal cannabis exposure and cognitive abilities and brain volumes developmental trajectories. Among 11,530 children with valid data for prenatal cannabis exposure, 10,833 had no prenatal cannabis use, and 697 had cannabis use during their pregnancy. There was a significant interaction between time points and cannabis use during pregnancy on visuo-perceptual processing ability (b = -0.019, p = .009) and intracranial volumes (b = -6338.309, p = .009). We found that the effects of exposure to cannabis during pregnancy are not uniform at all times and may gradually become more apparent and magnified as development progresses. JournalDevelopmental cognitive neurosciencePublished2023/02/06AuthorsHiraoka D, Makita K, Hamatani S, Tomoda A, Mizuno YKeywordsCognitive development, Longitudinal data, Marijuana, Neurodevelopment, Prenatal cannabis exposureDOI10.1016/j.dcn.2023.101209 |
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Toggle | Morphometry of the lateral orbitofrontal cortex is associated with eating dispositions in early adolescence: findings from a large population-based study. | Social cognitive and affective neuroscience | Hall PA, Best JR, Danckert J, et al. | 2023 | |
PubMed Record
AbstractEarly adolescence is a critical period for eating behaviors as children gain autonomy around food choice and peer influences increase in potency. From a neurodevelopmental perspective, significant structural changes take place in the prefrontal cortex during this time, including the orbitofrontal cortex (OFC), which is involved in socially contextualized decision-making. We examined the morphological features of the OFC in relation to food choice in a sample of 10 309 early adolescent children from the Adolescent Brain and Cognitive Development Study. Structural parameters of the OFC and insula were examined for relationships with two important aspects of food choice: limiting the consumption of fast/fried food and maximizing the consumption of nutritious foods. Raw, partially adjusted and fully adjusted models were evaluated. Findings revealed that a larger surface area of the lateral OFC was associated with higher odds of limiting fast/fried food consumption in raw [odds ratio (OR) = 1.07, confidence interval (CI): 1.02, 1.12, P = 0.002, PFDR = 0.012], partially adjusted (OR = 1.11, CI: 1.03, 1.19, P = 0.004, PFDR = 0.024) and fully adjusted models (OR = 1.11, CI: 1.03, 1.19, P = 0.006, PFDR = 0.036). In contrast, a larger insula volume was associated with lower odds of maximizing healthy foods in raw (OR = 0.94, CI: 0.91, 0.97, P <0.001, PFDR = 0.003) and partially adjusted (OR = 0.93, CI: 0.88, 0.98, P = 0.008, PFDR = 0.048) models. These findings refine our understanding of the OFC as a network node implicated in socially mediated eating behaviors. JournalSocial cognitive and affective neurosciencePublished2023/02/06AuthorsHall PA, Best JR, Danckert J, Beaton EA, Lee JAKeywordsMRI, OFC, adolescence, cortex, diet, eatingDOI10.1093/scan/nsab084 |
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Toggle | Morphology of the prefrontal cortex predicts body composition in early adolescence: cognitive mediators and environmental moderators in the ABCD Study. | Social cognitive and affective neuroscience | Hall PA, Best JR, Beaton EA, et al. | 2023 | |
PubMed Record
AbstractMorphological features of the lateral prefrontal cortex (PFC) in late childhood and early adolescence may provide important clues as to the developmental etiology of clinical conditions such as obesity. Body composition measurements and structural brain imaging were performed on 11 226 youth at baseline (age 9 or 10 years) and follow-up (age 11 or 12 years). Baseline morphological features of the lateral PFC were examined as predictors of body composition. Findings revealed reliable associations between middle frontal gyrus volume, thickness and surface area and multiple indices of body composition. These findings were consistent across both time points and remained significant after covariate adjustment. Cortical thicknesses of the inferior frontal gyrus and lateral orbitofrontal cortex were also reliable predictors. Morphology effects on body composition were mediated by performance on a non-verbal reasoning task. Modest but reliable moderation effects were observed with respect to environmental self-regulatory demand after controlling for sex, race/ethnicity, income and methodological variables. Overall findings suggest that PFC morphology is a reliable predictor of body composition in early adolescence, as mediated through select cognitive functions and partially moderated by environmental characteristics. JournalSocial cognitive and affective neurosciencePublished2023/02/06AuthorsHall PA, Best JR, Beaton EA, Sakib MN, Danckert JKeywordsABCD Study, BMI, PFC, adolescence, development, obesityDOI10.1093/scan/nsab104 |
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Toggle | BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. | IEEE transactions on medical imaging | Cui H, Dai W, Zhu Y, et al. | 2023 | |
PubMed Record
AbstractMapping the connectome of the human brain using structural or functional connectivity has become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph Neural Networks (GNNs) motivated from geometric deep learning have attracted broad interest due to their established power for modeling complex networked data. Despite their superior performance in many fields, there has not yet been a systematic study of how to design effective GNNs for brain network analysis. To bridge this gap, we present BrainGB, a benchmark for brain network analysis with GNNs. BrainGB standardizes the process by (1) summarizing brain network construction pipelines for both functional and structural neuroimaging modalities and (2) modularizing the implementation of GNN designs. We conduct extensive experiments on datasets across cohorts and modalities and recommend a set of general recipes for effective GNN designs on brain networks. To support open and reproducible research on GNN-based brain network analysis, we host the BrainGB website at https://braingb.us with models, tutorials, examples, as well as an out-of-box Python package. We hope that this work will provide useful empirical evidence and offer insights for future research in this novel and promising direction. JournalIEEE transactions on medical imagingPublished2023/02/02AuthorsCui H, Dai W, Zhu Y, Kan X, Gu AAC, Lukemire J, Zhan L, He L, Guo Y, Yang CKeywordsDOI10.1109/TMI.2022.3218745 |
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Toggle | Racial Disparities in Adversity During Childhood and the False Appearance of Race-Related Differences in Brain Structure. | The American journal of psychiatry | Dumornay NM, Lebois LAM, Ressler KJ, et al. | 2023 | |
PubMed Record
AbstractBlack Americans in the United States are disproportionately exposed to childhood adversity compared with White Americans. Such disparities may contribute to race-related differences in brain structures involved in regulating the emotional response to stress, such as the amygdala, hippocampus, and prefrontal cortex (PFC). The authors investigated neuroanatomical consequences of racial disparities in adversity. JournalThe American journal of psychiatryPublished2023/02/01AuthorsDumornay NM, Lebois LAM, Ressler KJ, Harnett NGKeywordsAdversity, Brain Structure, MRI, Neuroimaging, Race Disparities, Racism, Sociopolitical Issues, StressDOI10.1176/appi.ajp.21090961 |
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Toggle | Understanding Social Determinants of Brain Health During Development. | The American journal of psychiatry | Barch DM, Luby JL | 2023 | |
PubMed Record
AbstractJournalThe American journal of psychiatryPublished2023/02/01AuthorsBarch DM, Luby JLKeywordsBrain Structure, Neuroimaging, Racism, Sociopolitical Issues, StressDOI10.1176/appi.ajp.20220991 |
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Toggle | Association of Physical Activity and Screen Time With Body Mass Index Among US Adolescents. | JAMA network open | Nagata JM, Smith N, Alsamman S, et al. | 2023 | |
PubMed Record
AbstractThe Physical Activity Guidelines Advisory Committee Scientific Report identified important research gaps to inform future guidance for adolescents, including limited evidence on the importance of sedentary behaviors (screen time) and their interactions with physical activity for adolescent health outcomes, including overweight and obesity. JournalJAMA network openPublished2023/02/01AuthorsNagata JM, Smith N, Alsamman S, Lee CM, Dooley EE, Kiss O, Ganson KT, Wing D, Baker FC, Gabriel KPKeywordsDOI10.1001/jamanetworkopen.2022.55466 |
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Toggle | Bidirectional Associations Between Adiposity and Cognitive Function and Mediation by Brain Morphology in the ABCD Study. | JAMA network open | Sakib MN, Best JR, Hall PA | 2023 | |
PubMed Record
AbstractMost epidemiologic studies examine the brain as an outcome in relation to adiposity (ie, the brain-as-outcome perspective), but it is also a potential risk factor associated with adiposity accumulation over time (ie, the brain-as-risk factor perspective). The bidirectionality hypothesis has not been fully explored in adolescent samples previously. JournalJAMA network openPublished2023/02/01AuthorsSakib MN, Best JR, Hall PAKeywordsDOI10.1001/jamanetworkopen.2022.55631 |
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Toggle | Measures of Brain Connectivity and Cognition by Sex in US Children. | JAMA network open | Tomasi D, Volkow ND | 2023 | |
PubMed Record
AbstractThe neurobiological underpinnings underlying sex differences in cognition during adolescence are largely unknown. JournalJAMA network openPublished2023/02/01AuthorsTomasi D, Volkow NDKeywordsDOI10.1001/jamanetworkopen.2023.0157 |
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Toggle | Polygenic Risk for Schizophrenia, Major Depression, and Post-traumatic Stress Disorder and Hippocampal Subregion Volumes in Middle Childhood. | Behavior genetics | Pine JG, Paul SE, Johnson E, et al. | 2023 | |
PubMed Record
AbstractStudies demonstrate that individuals with diagnoses for Major Depressive Disorder (MDD), Post-traumatic Stress Disorder (PTSD), and Schizophrenia (SCZ) may exhibit smaller hippocampal gray matter relative to otherwise healthy controls, although the effect sizes vary in each disorder. Existing work suggests that hippocampal abnormalities in each disorder may be attributable to genetic liability and/or environmental variables. The following study uses baseline data from the Adolescent Brain and Cognitive Development[Formula: see text] Study (ABCD Study[Formula: see text]) to address three open questions regarding the relationship between genetic risk for each disorder and hippocampal volume reductions: (a) whether polygenic risk scores (PGRS) for MDD, PTSD, and SCZ are related to hippocampal volume; (b) whether PGRS for MDD, PTSD, and SCZ are differentially related to specific hippocampal subregions along the longitudinal axis; and (c) whether the association between PGRS for MDD, PTSD, and SCZ and hippocampal volume is moderated by sex and/or environmental adversity. In short, we did not find associations between PGRS for MDD, PTSD, and SCZ to be significantly related to any hippocampal subregion volumes. Furthermore, neither sex nor enviornmental adversity significantly moderated these associations. Our study provides an important null finding on the relationship genetic risk for MDD, PTSD, and SCZ to measures of hippocampal volume. JournalBehavior geneticsPublished2023/01/31AuthorsPine JG, Paul SE, Johnson E, Bogdan R, Kandala S, Barch DMKeywordsDepression, Hippocampus, Postraumatic-stress disorder, SchizophreniaDOI10.1007/s10519-023-10134-1 |
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Toggle | Ambient fine particulate exposure and subcortical gray matter microarchitecture in 9- and 10-year-old children across the United States. | iScience | Sukumaran K, Cardenas-Iniguez C, Burnor E, et al. | 2023 | |
PubMed Record
AbstractNeuroimaging studies showing the adverse effects of air pollution on neurodevelopment have largely focused on smaller samples from limited geographical locations and have implemented univariant approaches to assess exposure and brain macrostructure. Herein, we implement restriction spectrum imaging and a multivariate approach to examine how one year of annual exposure to daily fine particulate matter (PM), daily nitrogen dioxide (NO), and 8-h maximum ozone (O) at ages 9-10 years relates to subcortical gray matter microarchitecture in a geographically diverse subsample of children from the Adolescent Brain Cognitive Development (ABCD) Study. Adjusting for confounders, we identified a latent variable representing 66% of the variance between one year of air pollution and subcortical gray matter microarchitecture. PM was related to greater isotropic intracellular diffusion in the thalamus, brainstem, and accumbens, which related to cognition and internalizing symptoms. These findings may be indicative of previously identified air pollution-related risk for neuroinflammation and early neurodegenerative pathologies. JournaliSciencePublished2023/01/31AuthorsSukumaran K, Cardenas-Iniguez C, Burnor E, Bottenhorn KL, Hackman DA, McConnell R, Berhane K, Schwartz J, Chen JC, Herting MMKeywordsEnvironmental health, Environmental science, Health sciences, Neuroscience, Public healthDOI10.1016/j.isci.2023.106087 |
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Toggle | Prenatal tobacco exposure associations with physical health and neurodevelopment in the ABCD cohort. | Health psychology : official journal of the Division of Health Psychology, American Psychological Association | Gonzalez MR, Uban KA, Tapert SF, et al. | 2023 | |
PubMed Record
AbstractTo investigate the strength and reproducibility of the teratogenic impact of prenatal tobacco exposure (PTE) on child physical health and neurodevelopmental outcomes, in the context of intersecting sociodemographic and other prenatal correlates, and test if early postnatal health mediates PTE associations with childhood outcomes. JournalHealth psychology : official journal of the Division of Health Psychology, American Psychological AssociationPublished2023/01/30AuthorsGonzalez MR, Uban KA, Tapert SF, Sowell ERKeywordsDOI10.1037/hea0001265 |
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Toggle | Executive Network Activation Moderates the Association between Neighborhood Threats and Externalizing Behavior in Youth. | Research on child and adolescent psychopathology | Conley MI, Rapuano KM, Benson-Williams C, et al. | 2023 | |
PubMed Record
AbstractNeighborhood threats can increase risk for externalizing problems, including aggressive, oppositional, and delinquent behavior. Yet, there is substantial variability in how youth respond to neighborhood threats. Difficulty with cognitive functioning, particularly in the face of emotional information, may increase risk for externalizing in youth who live in neighborhoods with higher threats. However, little research has examined: 1) associations between neighborhood threats and executive networks involved in cognitive functioning or 2) whether executive networks may amplify risk for externalizing in the context of neighborhood threats. Further, most research on neighborhood threats does not account for youth’s experiences in other social contexts. Utilizing the large, sociodemographically diverse cohort of youth (ages 9-10) included in the Adolescent Brain Cognitive Development Study, we identified four latent profiles of youth based on threats in their neighborhoods, families, and schools: low threat in all contexts, elevated family threat, elevated neighborhood threat, and elevated threat in all contexts. The elevated neighborhood threat and elevated all threat profiles showed lower behavioral performance on an emotional n-back task relative to low threat and elevated family threat profiles. Lower behavioral performance in the elevated neighborhood threat profile specifically was paralleled by lower executive network activity during a cognitive challenge. Moreover, among youth with lower executive network activity, higher probability of membership in the elevated neighborhood threat profile was associated with higher externalizing. Together, these results provide evidence that interactions between threats that are concentrated in youth’s neighborhoods and attenuated executive network function may contribute to risk for externalizing problems. JournalResearch on child and adolescent psychopathologyPublished2023/01/27AuthorsConley MI, Rapuano KM, Benson-Williams C, Rosenberg MD, Watts R, Bell C, Casey BJ, Baskin-Sommers AKeywordsCognitive functioning, Executive networks, Externalizing, Neighborhood, Threat, YouthDOI10.1007/s10802-022-01003-2 |
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Toggle | Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions. | Medical image analysis | Xue T, Zhang F, Zhang C, et al. | 2023 | |
PubMed Record
AbstractDiffusion MRI tractography is an advanced imaging technique that enables in vivo mapping of the brain’s white matter connections. White matter parcellation classifies tractography streamlines into clusters or anatomically meaningful tracts. It enables quantification and visualization of whole-brain tractography. Currently, most parcellation methods focus on the deep white matter (DWM), whereas fewer methods address the superficial white matter (SWM) due to its complexity. We propose a novel two-stage deep-learning-based framework, Superficial White Matter Analysis (SupWMA), that performs an efficient and consistent parcellation of 198 SWM clusters from whole-brain tractography. A point-cloud-based network is adapted to our SWM parcellation task, and supervised contrastive learning enables more discriminative representations between plausible streamlines and outliers for SWM. We train our model on a large-scale tractography dataset including streamline samples from labeled long- and medium-range (over 40 mm) SWM clusters and anatomically implausible streamline samples, and we perform testing on six independently acquired datasets of different ages and health conditions (including neonates and patients with space-occupying brain tumors). Compared to several state-of-the-art methods, SupWMA obtains highly consistent and accurate SWM parcellation results on all datasets, showing good generalization across the lifespan in health and disease. In addition, the computational speed of SupWMA is much faster than other methods. JournalMedical image analysisPublished2023/01/23AuthorsXue T, Zhang F, Zhang C, Chen Y, Song Y, Golby AJ, Makris N, Rathi Y, Cai W, O'Donnell LJKeywordsDeep learning, Diffusion MRI, Point cloud, Superficial white matter parcellation, Supervised contrastive learning, TractographyDOI10.1016/j.media.2023.102759 |
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Toggle | Sleep Quality and Duration in Children That Consume Caffeine: Impact of Dose and Genetic Variation in ADORA2A and CYP1A | Genes | Jessel CD, Narang A, Zuberi R, et al. | 2023 | |
PubMed Record
AbstractCaffeine is the most consumed drug in the world, and it is commonly used by children. Despite being considered relatively safe, caffeine can have marked effects on sleep. Studies in adults suggest that genetic variants in the adenosine A2A receptor (, rs5751876) and cytochrome P450 1A (, rs2472297, rs762551) loci are correlated with caffeine-associated sleep disturbances and caffeine intake (dose), but these associations have not been assessed in children. We examined the independent and interaction effects of daily caffeine dose and candidate variants in and on the sleep quality and duration in 6112 children aged 9-10 years who used caffeine and were enrolled in the Adolescent Brain Cognitive Development (ABCD) study. We found that children with higher daily caffeine doses had lower odds of reporting > 9 h of sleep per night (OR = 0.81, 95% CI = 0.74-0.88, and = 1.2 × 10). For every mg/kg/day of caffeine consumed, there was a 19% (95% CI = 12-26%) decrease in the odds of children reporting > 9 h of sleep. However, neither nor genetic variants were associated with sleep quality, duration, or caffeine dose. Likewise, genotype by caffeine dose interactions were not detected. Our findings suggest that a daily caffeine dose has a clear negative correlation with sleep duration in children, but this association is not moderated by the or genetic variation. JournalGenesPublished2023/01/22AuthorsJessel CD, Narang A, Zuberi R, Bousman CAKeywordscaffeine, dose–response, genotype, sleepDOI10.3390/genes14020289 |
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Toggle | Gender Differences in Adolescents' Affective Symptoms and Behavioral Disorders After Mild Traumatic Brain Injury. | The Journal of head trauma rehabilitation | Veliz PT, Berryhill ME | 2023 | |
PubMed Record
AbstractMild traumatic brain injuries (mTBI) are considered self-limiting and full recovery is expected. Recent studies identify deficits persisting years after mTBI. Large-scale prospective data permit testing the hypothesis that mTBI increases incidence of affective and behavioral symptoms after new, past , or new and past mTBI. JournalThe Journal of head trauma rehabilitationPublished2023/01/21AuthorsVeliz PT, Berryhill MEKeywordsDOI10.1097/HTR.0000000000000851 |
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Toggle | Characterizing Alcohol Expectancies in the ABCD Study: Associations with Sociodemographic Factors, the Immediate Social Environment, and Genetic Propensities. | Behavior genetics | Johnson EC, Paul SE, Baranger DAA, et al. | 2023 | |
PubMed Record
AbstractAlcohol expectancies (AEs) are associated with likelihood of alcohol initiation and subsequent alcohol use disorders. It is unclear whether genetic predisposition to alcohol use and/or related traits contributes to shaping how one expects to feel when drinking alcohol. We used the Adolescent Brain Cognitive Development study to examine associations between genetic propensities (i.e., polygenic risk for problematic alcohol use, depression, risk-taking), sociodemographic factors (i.e., parent income), and the immediate social environment (i.e., peer use and disapproval toward alcohol) and positive and negative AEs in alcohol-naïve children (max analytic N = 5,352). Mixed-effect regression models showed that age, parental education, importance of the child’s religious beliefs, adverse childhood experiences, and peer disapproval of alcohol use were associated with positive and/or negative AEs, to varying degrees. Overall, our results suggest several familial and psychosocial predictors of AEs but little evidence of contributions from polygenic liability to problematic alcohol use or related phenotypes. JournalBehavior geneticsPublished2023/01/20AuthorsJohnson EC, Paul SE, Baranger DAA, Hatoum AS, Colbert SMC, Lin S, Wolff R, Gorelik AJ, Hansen I, Karcher NR, Bogdan R, Agrawal AKeywordsAdverse childhood experiences, Alcohol expectancies, Educational attainment, Peer deviance, Polygenic risk scores, ReligiosityDOI10.1007/s10519-023-10133-2 |
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Toggle | Relations Between Executive Functioning and Internalizing Symptoms Vary as a Function of Frontoparietal-amygdala Resting State Connectivity. | Research on child and adolescent psychopathology | Gunther KE, Petrie D, Pérez-Edgar K, et al. | 2023 | |
PubMed Record
AbstractThe prefrontal cortex and the frontoparietal network are associated with a variety of regulatory behaviors. Functional connections between these brain regions and the amygdala are implicated in risk for anxiety disorders. The prefrontal cortex and frontoparietal network are also linked to executive functioning, or behaviors that help orient action towards higher order goals. Where much research has been focused on deleterious effects of under-controlled behavior, a body of work suggests that over-controlled behavior may also pose a risk for internalizing problems. Indeed, while work suggests that high levels of attention shifting may still be protective against internalizing problems, there is evidence that high levels of inhibitory control may be a risk factor for socioemotional difficulties. In the ABCD sample, which offers large sample sizes as well as sociodemographic diversity, we test the interaction between frontoparietal network-amygdala resting state functional connectivity and executive functioning behaviors on longitudinal changes in internalizing symptoms from approximately 10 to 12 years of age. We found that higher proficiency in attention shifting indeed predicts fewer internalizing behaviors over time. In addition, higher proficiency in inhibitory control predicts fewer internalizing symptoms over time, but only for children showing resting state connectivity moderately above the sample average between the frontoparietal network and amygdala. This finding supports the idea that top-down control may not be adaptive for all children, and relations between executive functioning and anxiety risk may vary as a function of trait-level regulation. JournalResearch on child and adolescent psychopathologyPublished2023/01/20AuthorsGunther KE, Petrie D, Pérez-Edgar K, Geier CKeywordsAnxiety risk, Executive functioning, Frontoamygdala connectivity, Frontoparietal network, Internalizing symptomsDOI10.1007/s10802-023-01025-4 |
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Toggle | Overlapping brain correlates of superior cognition among children at genetic risk for Alzheimer's disease and/or major depressive disorder. | Scientific reports | Petrican R, Paine AL, Escott-Price V, et al. | 2023 | |
PubMed Record
AbstractEarly life adversity (ELA) tends to accelerate neurobiological ageing, which, in turn, is thought to heighten vulnerability to both major depressive disorder (MDD) and Alzheimer’s disease (AD). The two conditions are putatively related, with MDD representing either a risk factor or early symptom of AD. Given the substantial environmental susceptibility of both disorders, timely identification of their neurocognitive markers could facilitate interventions to prevent clinical onset. To this end, we analysed multimodal data from the Adolescent Brain and Cognitive Development study (ages 9-10 years). To disentangle genetic from correlated genetic-environmental influences, while also probing gene-adversity interactions, we compared adoptees, a group generally exposed to substantial ELA, with children raised by their biological families via genetic risk scores (GRS) from genome-wide association studies. AD and MDD GRSs predicted overlapping and widespread neurodevelopmental alterations associated with superior fluid cognition. Specifically, among adoptees only, greater AD GRS were related to accelerated structural maturation (i.e., cortical thinning) and higher MDD GRS were linked to delayed functional neurodevelopment, as reflected in compensatory brain activation on an inhibitory control task. Our study identifies compensatory mechanisms linked to MDD risk and highlights the potential cognitive benefits of accelerated maturation linked to AD vulnerability in late childhood. JournalScientific reportsPublished2023/01/18AuthorsPetrican R, Paine AL, Escott-Price V, Shelton KHKeywordsDOI10.1038/s41598-023-28057-6 |
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Toggle | Characterizing different cognitive and neurobiological profiles in a community sample of children using a non-parametric approach: An fMRI study. | Developmental cognitive neuroscience | Fekson VK, Michaeli T, Rosch KS, et al. | 2023 | |
PubMed Record
AbstractExecutive Functions (EF) is an umbrella term for a set of mental processes geared towards goal-directed behavior supporting academic skills such as reading abilities. One of the brain’s functional networks implicated in EF is the Default Mode Network (DMN). The current study uses measures of inhibitory control, a main sub-function of EF, to create cognitive and neurobiological “inhibitory control profiles” and relate them to reading abilities in a large sample (N = 5055) of adolescents aged 9-10 from the Adolescent Brain Cognitive Development (ABCD) study. Using a Latent Profile Analysis (LPA) approach, data related to inhibitory control was divided into four inhibition classes. For each class, functional connectivity within the DMN was calculated from resting-state data, using a non-parametric algorithm for detecting group similarities. These inhibitory control profiles were then related to reading abilities. The four inhibitory control groups showed significantly different reading abilities, with neurobiologically different DMN segregation profiles for each class versus controls. The current study demonstrates that a community sample of children is not entirely homogeneous and is composed of different subgroups that can be differentiated both behaviorally/cognitively and neurobiologically, by focusing on inhibitory control and the DMN. Educational implications relating these results to reading abilities are noted. JournalDevelopmental cognitive neurosciencePublished2023/01/13AuthorsFekson VK, Michaeli T, Rosch KS, Schlaggar BL, Horowitz-Kraus TKeywordsDefault Mode Network, Inhibitory control, Latent Profiles, Nonparametric approach, Reading abilitiesDOI10.1016/j.dcn.2023.101198 |
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Toggle | Family- and neighborhood-level environmental associations with physical health conditions in 9- and 10-year-olds. | Health psychology : official journal of the Division of Health Psychology, American Psychological Association | Marshall AT, Adise S, Cardenas-Iniguez C, et al. | 2023 | |
PubMed Record
AbstractTo determine how environmental factors are associated with physical health conditions in 9- to 10-year-old participants in the Adolescent Brain Cognitive Development (ABCD) Study, and how they are moderated by family-level socioeconomic status (SES). JournalHealth psychology : official journal of the Division of Health Psychology, American Psychological AssociationPublished2023/01/12AuthorsMarshall AT, Adise S, Cardenas-Iniguez C, Hippolyte OK, Parchment CA, Villalobos TI, Wong LT, Cisneros CP, Kan EC, Palmer CE, Bodison SC, Herting MM, Sowell ERKeywordsDOI10.1037/hea0001254 |
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Toggle | Why weight? Analytic approaches for large-scale population neuroscience data. | Developmental cognitive neuroscience | Gard AM, Hyde LW, Heeringa SG, et al. | 2023 | |
PubMed Record
AbstractPopulation-based neuroimaging studies that feature complex sampling designs enable researchers to generalize their results more widely. However, several theoretical and analytical questions pose challenges to researchers interested in these data. The following is a resource for researchers interested in using population-based neuroimaging data. We provide an overview of sampling designs and describe the differences between traditional model-based analyses and survey-oriented design-based analyses. To elucidate key concepts, we leverage data from the Adolescent Brain Cognitive Development℠ Study (ABCD Study®), a population-based sample of 11,878 9-10-year-olds in the United States. Analyses revealed modest sociodemographic discrepancies between the target population of 9-10-year-olds in the U.S. and both the recruited ABCD sample and the analytic sample with usable structural and functional imaging data. In evaluating the associations between socioeconomic resources (i.e., constructs that are tightly linked to recruitment biases) and several metrics of brain development, we show that model-based approaches over-estimated the associations of household income and under-estimated the associations of caregiver education with total cortical volume and surface area. Comparable results were found in models predicting neural function during two fMRI task paradigms. We conclude with recommendations for ABCD Study® users and users of population-based neuroimaging cohorts more broadly. JournalDevelopmental cognitive neurosciencePublished2023/01/06AuthorsGard AM, Hyde LW, Heeringa SG, West BT, Mitchell CKeywordsABCD Study®, Generalizability, Population neuroscience, convenience sampling, probability samplingDOI10.1016/j.dcn.2023.101196 |
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Toggle | Male-specific, replicable and functional roles of genetic variants and cerebral gray matter volumes in ADHD: a gene-wide association study across KTN1 and a region-wide functional validation across brain. | Child and adolescent psychiatry and mental health | Luo X, Lin X, Ide JS, et al. | 2023 | |
PubMed Record
AbstractAttention deficit hyperactivity disorder (ADHD) is associated with reduction of cortical and subcortical gray matter volumes (GMVs). The kinectin 1 gene (KTN1) has recently been reported to significantly regulate GMVs and ADHD risk. In this study, we aimed to identify sex-specific, replicable risk KTN1 alleles for ADHD and to explore their regulatory effects on mRNA expression and cortical and subcortical GMVs. We examined a total of 1020 KTN1 SNPs in one discovery sample (ABCD cohort: 5573 males and 5082 females) and three independent replication European samples (Samples #1 and #2 each with 802/122 and 472/141 male/female offspring with ADHD; and Sample #3 with 14,154/4945 ADHD and 17,948/16,246 healthy males/females) to identify replicable associations within each sex. We examined the regulatory effects of ADHD-risk alleles on the KTN1 mRNA expression in two European brain cohorts (n = 348), total intracranial volume (TIV) in 46 European cohorts (n = 18,713) and the ABCD cohort, as well as the GMVs of seven subcortical structures in 50 European cohorts (n = 38,258) and of 118 cortical and subcortical regions in the ABCD cohort. We found that four KTN1 variants significantly regulated the risk of ADHD with the same direction of effect in males across discovery and replication samples (0.003 ≤ p ≤ 0.041), but none in females. All four ADHD-risk alleles significantly decreased KTN1 mRNA expression in all brain regions examined (1.2 × 10 ≤ p ≤ 0.039). The ADHD-risk alleles significantly increased basal ganglia (2.8 × 10 ≤ p ≤ 0.040) and hippocampus (p = 0.010) GMVs but reduced amygdala GMV (p = 0.030) and TIV (0.010 < p ≤ 0.013). The ADHD-risk alleles also significantly reduced some cortical (right superior temporal pole, right rectus) and cerebellar but increased other cortical (0.007 ≤ p ≤ 0.050) GMVs. To conclude, we identified a set of replicable and functional risk KTN1 alleles for ADHD, specifically in males. KTN1 may play a critical role in the pathogenesis of ADHD, and the reduction of specific cortical and subcortical, including amygdalar but not basal ganglia or hippocampal, GMVs may serve as a neural marker of the genetic effects. JournalChild and adolescent psychiatry and mental healthPublished2023/01/06AuthorsLuo X, Lin X, Ide JS, Luo X, Zhang Y, Xu J, Wang L, Chen Y, Cheng W, Zheng J, Wang Z, Yu T, Taximaimaiti R, Jing X, Wang X, Cao Y, Tan Y, Li CRKeywordsABCD, ADHD, Basal ganglia, Cortex, Gray matter volume (GMV), KTN1DOI10.1186/s13034-022-00536-0 |
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Toggle | Sex and age variations in the impact of puberty on cortical thickness and associations with internalizing symptoms and suicidal ideation in early adolescence. | Developmental cognitive neuroscience | Wiglesworth A, Fiecas MB, Xu M, et al. | 2023 | |
PubMed Record
AbstractThe childhood-to-adolescence transition is a notable period of change including pubertal development, neurodevelopment, and psychopathology onset, that occurs in divergent patterns between sexes. This study examined the effects of sex and puberty on cortical thickness (CT) in children and explored whether CT changes over time related to emergence of psychopathology in early adolescence. JournalDevelopmental cognitive neurosciencePublished2023/01/04AuthorsWiglesworth A, Fiecas MB, Xu M, Neher AT, Padilla L, Carosella KA, Roediger DJ, Mueller BA, Luciana M, Klimes-Dougan B, Cullen KRKeywordsCortical thickness, Developmental psychopathology, Neurodevelopment, Puberty, Sex differences, Suicidal ideationDOI10.1016/j.dcn.2022.101195 |
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Toggle | Neuroanatomical correlates of genetic risk for obesity in children. | Translational psychiatry | Morys F, Yu E, Shishikura M, et al. | 2023 | |
PubMed Record
AbstractObesity has a strong genetic component, with up to 20% of variance in body mass index (BMI) being accounted for by common polygenic variation. Most genetic polymorphisms associated with BMI are related to genes expressed in the central nervous system. At the same time, higher BMI is associated with neurocognitive changes. However, the direct link between genetics of obesity and neurobehavioral mechanisms related to weight gain is missing. Here, we use a large sample of participants (n > 4000) from the Adolescent Brain Cognitive Development cohort to investigate how genetic risk for obesity, expressed as polygenic risk score for BMI (BMI-PRS), is related to brain and behavioral measures in adolescents. In a series of analyses, we show that BMI-PRS is related to lower cortical volume and thickness in the frontal and temporal areas, relative to age-expected values. Relatedly, using structural equation modeling, we find that lower overall cortical volume is associated with higher impulsivity, which in turn is related to an increase in BMI 1 year later. In sum, our study shows that obesity might partially stem from genetic risk as expressed in brain changes in the frontal and temporal brain areas, and changes in impulsivity. JournalTranslational psychiatryPublished2023/01/03AuthorsMorys F, Yu E, Shishikura M, Paquola C, Vainik U, Nave G, Koellinger P, Gan-Or Z, Dagher AKeywordsDOI10.1038/s41398-022-02301-5 |
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Toggle | Concordance between substance use self-report and hair analysis in community-based adolescents. | The American journal of drug and alcohol abuse | Wade NE, Sullivan RM, Tapert SF, et al. | 2023 | |
PubMed Record
AbstractAccurate drug use identification through subjective self-report and toxicological biosample (hair) analysis are necessary to determine substance use sequelae in youth. Yet consistency between self-reported substance use and robust, toxicological analysis in a large sample of youth is understudied. We aim to assess concordance between self-reported substance use and hair toxicological analysis in community-based adolescents. Hair results by LC-MS/MS and GC-MS/MS and self-reported past-year substance use from an Adolescent Brain Cognitive Development (ABCD) Study subsample ( = 1,390; ages 9-13; 48% female) were compared. The participants were selected for hair selection through two methods: high scores on a substance risk algorithm selected 93%; 7% were low-risk, randomly selected participants. Kappa coefficients the examined concordance between self-report and hair results. 10% of youth self-reported any past-year substance use (e.g. alcohol, cannabis, nicotine, and opiates), while a mostly non-overlapping 10% had hair results indicating recent substance use (cannabis, alcohol, non-prescription amphetamines, cocaine, nicotine, opiates, and fentanyl). In randomly selected low-risk cases, 7% were confirmed positive in hair. Combining methods, 19% of the sample self-reported substance use and/or had a positive hair sample. Kappa coefficient of concordance between self-report and hair results was low (kappa = 0.07; = .007). Hair toxicology identified substance use in high-risk and low-risk ABCD cohort subsamples. Given low concordance between hair results and self-report, reliance on either method alone would incorrectly categorize 9% as non-users. Multiple methods for characterizing substance use history in youth improves accuracy. Larger representative samples are needed to assess the prevalence of substance use in youth. JournalThe American journal of drug and alcohol abusePublished2023/01/02AuthorsWade NE, Sullivan RM, Tapert SF, Pelham WE, Huestis MA, Lisdahl KM, Haist FKeywordsChildren, adolescents, hair toxicology, self-report concordance, substance use, substance use onsetDOI10.1080/00952990.2023.2164931 |
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Toggle | More Than a Learning Environment: School Climate as a Protective Factor for Child Neurodevelopment and Mental Health? | Biological psychiatry. Cognitive neuroscience and neuroimaging | Thijssen S | 2023 | |
PubMed Record
AbstractJournalBiological psychiatry. Cognitive neuroscience and neuroimagingPublished2023/01/01AuthorsThijssen SKeywordsDOI10.1016/j.bpsc.2022.10.002 |
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Toggle | Neuroimaging profiling identifies distinct brain maturational subtypes of youth with mood and anxiety disorders. | Molecular psychiatry | Ge R, Sassi R, Yatham LN, et al. | 2022 | |
PubMed Record
AbstractMood and anxiety disorders typically begin in adolescence and have overlapping clinical features but marked inter-individual variation in clinical presentation. The use of multimodal neuroimaging data may offer novel insights into the underlying brain mechanisms. We applied Heterogeneity Through Discriminative Analysis (HYDRA) to measures of regional brain morphometry, neurite density, and intracortical myelination to identify subtypes of youth, aged 9-10 years, with mood and anxiety disorders (N = 1931) compared to typically developing youth (N = 2823). We identified three subtypes that were robust to permutation testing and sample composition. Subtype 1 evidenced a pattern of imbalanced cortical-subcortical maturation compared to the typically developing group, with subcortical regions lagging behind prefrontal cortical thinning and myelination and greater cortical surface expansion globally. Subtype 2 displayed a pattern of delayed cortical maturation indicated by higher cortical thickness and lower cortical surface area expansion and myelination compared to the typically developing group. Subtype 3 showed evidence of atypical brain maturation involving globally lower cortical thickness and surface coupled with higher myelination and neural density. Subtype 1 had superior cognitive function in contrast to the other two subtypes that underperformed compared to the typically developing group. Higher levels of parental psychopathology, family conflict, and social adversity were common to all subtypes, with subtype 3 having the highest burden of adverse exposures. These analyses comprehensively characterize pre-adolescent mood and anxiety disorders, the biopsychosocial context in which they arise, and lay the foundation for the examination of the longitudinal evolution of the subtypes identified as the study sample transitions through adolescence. JournalMolecular psychiatryPublished2022/12/28AuthorsGe R, Sassi R, Yatham LN, Frangou SKeywordsDOI10.1038/s41380-022-01925-9 |
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Toggle | Cyberbullying and Sleep Disturbance Among Early Adolescents in the U.S. | Academic pediatrics | Nagata JM, Yang JH, Singh G, et al. | 2022 | |
PubMed Record
AbstractTo determine the association between cyberbullying (victimization and perpetration) and sleep disturbance among a demographically diverse sample of 10-14-year-old early adolescents. JournalAcademic pediatricsPublished2022/12/26AuthorsNagata JM, Yang JH, Singh G, Kiss O, Ganson KT, Testa A, Jackson DB, Baker FCKeywordsadolescent, cyberbullying, screen time, sleep, sleep disturbanceDOI10.1016/j.acap.2022.12.007 |
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Toggle | Distinct Thalamic and Frontal Neuroanatomical Substrates in Children with Familial vs. Non-Familial Attention-Deficit/Hyperactivity Disorder (ADHD). | Brain sciences | Baboli R, Cao M, Halperin JM, et al. | 2022 | |
PubMed Record
AbstractAttention-deficit/hyperactivity disorder (ADHD) is a highly prevalent, inheritable, and heterogeneous neurodevelopmental disorder. Children with a family history of ADHD are at elevated risk of having ADHD and persisting its symptoms into adulthood. The objective of this study was to investigate the influence of having or not having positive family risk factor in the neuroanatomy of the brain in children with ADHD. Cortical thickness-, surface area-, and volume-based measures were extracted and compared in a total of 606 participants, including 132, 165, and 309 in groups of familial ADHD (ADHD-F), non-familial ADHD (ADHD-NF), and typically developed children, respectively. Compared to controls, ADHD probands showed significantly reduced gray matter surface area in the left cuneus. Among the ADHD subgroups, ADHD-F showed significantly increased gray matter volume in the right thalamus and significantly thinner cortical thickness in the right pars orbitalis. Among ADHD-F, an increased volume of the right thalamus was significantly correlated with a reduced DSM-oriented t-score for ADHD problems. The findings of this study may suggest that a positive family history of ADHD is associated with the structural abnormalities in the thalamus and inferior frontal gyrus; these anatomical abnormalities may significantly contribute to the emergence of ADHD symptoms. JournalBrain sciencesPublished2022/12/26AuthorsBaboli R, Cao M, Halperin JM, Li XKeywordsABCD dataset, ADHD, familial ADHD, heterogeneity, inferior frontal gyrus, magnetic resonance imaging (MRI), neuroanatomy, non-familial ADHD, thalamusDOI10.3390/brainsci13010046 |
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Toggle | Gender identity-based disparities in self-injurious thoughts and behaviors among pre-teens in the United States. | Suicide & life-threatening behavior | Randall AB, van der Star A, Pennesi JL, et al. | 2022 | |
PubMed Record
AbstractTransgender individuals are at heightened risk for self-injurious thoughts and behaviors (SITBs). Evidence suggests that middle childhood-aged transgender individuals experience elevated rates of non-suicidal self-injury (NSSI) and passive suicidal ideation (SI), compared to cisgender children. Little is known about gender identity-based disparities in SI more broadly and suicidal behavior (SB) in children aged 9 and 10. The aim of this study was to examine gender identity-based disparities in SITBs among children in middle childhood (pre-teens) in a US-based sample. JournalSuicide & life-threatening behaviorPublished2022/12/23AuthorsRandall AB, van der Star A, Pennesi JL, Siegel JA, Blashill AJKeywordsdisparities, middle childhood, prevalence, self-injury, suicide, transgenderDOI10.1111/sltb.12937 |
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Toggle | General psychopathology factor (p-factor) prediction using resting-state functional connectivity and a scanner-generalization neural network. | Journal of psychiatric research | Hong J, Hwang J, Lee JH | 2022 | |
PubMed Record
AbstractThe general psychopathology factor (p-factor) represents shared variance across mental disorders based on psychopathologic symptoms. The Adolescent Brain Cognitive Development (ABCD) Study offers an unprecedented opportunity to investigate functional networks (FNs) from functional magnetic resonance imaging (fMRI) associated with the psychopathology of an adolescent cohort (n > 10,000). However, the heterogeneities associated with the use of multiple sites and multiple scanners in the ABCD Study need to be overcome to improve the prediction of the p-factor using fMRI. We proposed a scanner-generalization neural network (SGNN) to predict the individual p-factor by systematically reducing the scanner effect for resting-state functional connectivity (RSFC). We included 6905 adolescents from 18 sites whose fMRI data were collected using either Siemens or GE scanners. The p-factor was estimated based on the Child Behavior Checklist (CBCL) scores available in the ABCD study using exploratory factor analysis. We evaluated the Pearson’s correlation coefficients (CCs) for p-factor prediction via leave-one/two-site-out cross-validation (LOSOCV/LTSOCV) and identified important FNs from the weight features (WFs) of the SGNN. The CCs were higher for the SGNN than for alternative models when using both LOSOCV (0.1631 ± 0.0673 for the SGNN vs. 0.1497 ± 0.0710 for kernel ridge regression [KRR]; p < 0.05 from a two-tailed paired t-test) and LTSOCV (0.1469 ± 0.0381 for the SGNN vs. 0.1394 ± 0.0359 for KRR; p = 0.01). It was found that (a) the default-mode and dorsal attention FNs were important for p-factor prediction, and (b) the intra-visual FN was important for scanner generalization. We demonstrated the efficacy of our novel SGNN model for p-factor prediction while simultaneously eliminating scanner-related confounding effects for RSFC. JournalJournal of psychiatric researchPublished2022/12/23AuthorsHong J, Hwang J, Lee JHKeywordsData harmonization, Deep neural networks, Functional networks, Psychopathology, Scanner effect, p-factorDOI10.1016/j.jpsychires.2022.12.037 |
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Toggle | A cognitive process modeling framework for the ABCD study stop-signal task. | Developmental cognitive neuroscience | Weigard A, Matzke D, Tanis C, et al. | 2022 | |
PubMed Record
AbstractThe Adolescent Brain Cognitive Development (ABCD) Study is a longitudinal neuroimaging study of unprecedented scale that is in the process of following over 11,000 youth from middle childhood though age 20. However, a design feature of the study’s stop-signal task violates “context independence”, an assumption critical to current non-parametric methods for estimating stop-signal reaction time (SSRT), a key measure of inhibitory ability in the study. This has led some experts to call for the task to be changed and for previously collected data to be used with caution. We present a cognitive process modeling framework, the RDEX-ABCD model, that provides a parsimonious explanation for the impact of this design feature on “go” stimulus processing and successfully accounts for key behavioral trends in the ABCD data. Simulation studies using this model suggest that failing to account for the context independence violations in the ABCD design can lead to erroneous inferences in several realistic scenarios. However, we demonstrate that RDEX-ABCD effectively addresses these violations and can be used to accurately measure SSRT along with an array of additional mechanistic parameters of interest (e.g., attention to the stop signal, cognitive efficiency), advancing investigators’ ability to draw valid and nuanced inferences from ABCD data. AVAILABILITY OF DATA AND MATERIALS: Data from the ABCD Study are available through the NIH Data Archive (NDA): nda.nih.gov/abcd. Code for all analyses featured in this study is openly available on the Open Science Framework (OSF): osf.io/2h8a7/. JournalDevelopmental cognitive neurosciencePublished2022/12/22AuthorsWeigard A, Matzke D, Tanis C, Heathcote AKeywordsBayesian cognitive modeling, Evidence accumulation, Inhibition, Parameter recovery, Trigger failureDOI10.1016/j.dcn.2022.101191 |
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Toggle | Differences in the functional brain architecture of sustained attention and working memory in youth and adults. | PLoS biology | Kardan O, Stier AJ, Cardenas-Iniguez C, et al. | 2022 | |
PubMed Record
AbstractSustained attention (SA) and working memory (WM) are critical processes, but the brain networks supporting these abilities in development are unknown. We characterized the functional brain architecture of SA and WM in 9- to 11-year-old children and adults. First, we found that adult network predictors of SA generalized to predict individual differences and fluctuations in SA in youth. A WM model predicted WM performance both across and within children-and captured individual differences in later recognition memory-but underperformed in youth relative to adults. We next characterized functional connections differentially related to SA and WM in youth compared to adults. Results revealed 2 network configurations: a dominant architecture predicting performance in both age groups and a secondary architecture, more prominent for WM than SA, predicting performance in each age group differently. Thus, functional connectivity (FC) predicts SA and WM in youth, with networks predicting WM performance differing more between youths and adults than those predicting SA. JournalPLoS biologyPublished2022/12/21AuthorsKardan O, Stier AJ, Cardenas-Iniguez C, Schertz KE, Pruin JC, Deng Y, Chamberlain T, Meredith WJ, Zhang X, Bowman JE, Lakhtakia T, Tindel L, Avery EW, Lin Q, Yoo K, Chun MM, Berman MG, Rosenberg MDKeywordsDOI10.1371/journal.pbio.3001938 |
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Toggle | Machine learning approaches linking brain function to behavior in the ABCD STOP task. | Human brain mapping | Yuan D, Hahn S, Allgaier N, et al. | 2022 | |
PubMed Record
AbstractThe stop-signal task (SST) is one of the most common fMRI tasks of response inhibition, and its performance measure, the stop-signal reaction-time (SSRT), is broadly used as a measure of cognitive control processes. The neurobiology underlying individual or clinical differences in response inhibition remain unclear, consistent with the general pattern of quite modest brain-behavior associations that have been recently reported in well-powered large-sample studies. Here, we investigated the potential of multivariate, machine learning (ML) methods to improve the estimation of individual differences in SSRT with multimodal structural and functional region of interest-level neuroimaging data from 9- to 11-year-olds children in the ABCD Study. Six ML algorithms were assessed across modalities and fMRI tasks. We verified that SST activation performed best in predicting SSRT among multiple modalities including morphological MRI (cortical surface area/thickness), diffusion tensor imaging, and fMRI task activations, and then showed that SST activation explained 12% of the variance in SSRT using cross-validation and out-of-sample lockbox data sets (n = 7298). Brain regions that were more active during the task and that showed more interindividual variation in activation were better at capturing individual differences in performance on the task, but this was only true for activations when successfully inhibiting. Cortical regions outperformed subcortical areas in explaining individual differences but the two hemispheres performed equally well. These results demonstrate that the detection of reproducible links between brain function and performance can be improved with multivariate approaches and give insight into a number of brain systems contributing to individual differences in this fundamental cognitive control process. JournalHuman brain mappingPublished2022/12/19AuthorsYuan D, Hahn S, Allgaier N, Owens MM, Chaarani B, Potter A, Garavan HKeywordsadolescence, big data, fMRI, important feature, machine learning, multimodality, stop-signal reaction time, stop-signal taskDOI10.1002/hbm.26172 |
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Toggle | Lower daily steps among U.S. adolescents during the COVID-19 pandemic: Objective findings from the Adolescent Brain Cognitive Development Study. | Preventive medicine reports | Nagata JM, Yu J, Dooley EE, et al. | 2022 | |
PubMed Record
AbstractJournalPreventive medicine reportsPublished2022/12/19AuthorsNagata JM, Yu J, Dooley EE, Baker FC, Alsamman S, Wing D, Ganson KT, Pettee Gabriel KKeywordsABCD, Adolescent Brain and Cognitive Development, Adolescent, Covid-19, Fitbit, Pandemic, Physical activity, StepsDOI10.1016/j.pmedr.2022.102095 |
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Toggle | Genetic risk of AUDs and childhood impulsivity: Examining the role of parenting and family environment. | Development and psychopathology | Su J, Trevino A, Jamil B, et al. | 2022 | |
PubMed Record
AbstractThis study examined the independent and interactive effects of genetic risk for alcohol use disorder (AUD), parenting behaviors, and family environment on childhood impulsivity. Data were drawn from White ( = 5,991), Black/African American ( = 1,693), and Hispanic/Latino ( = 2,118) youth who completed the baseline assessment (age 9-10) and had genotypic data available from the Adolescent Brain Cognitive Development Study. Participants completed questionnaires and provided saliva or blood samples for genotyping. Results indicated no significant main effects of AUD genome-wide polygenic scores (AUD-PRS) on childhood impulsivity as measured by the UPPS-P scale across racial/ethnic groups. In general, parental monitoring and parental acceptance were associated with lower impulsivity; family conflict was associated with higher impulsivity. There was an interaction effect between AUD-PRS and family conflict, such that family conflict exacerbated the association between AUD-PRS and positive urgency, only among Black/African American youth. This was the only significant interaction effect detected from a total of 45 tests (five impulsivity dimensions, three subsamples, and three family factors), and thus may be a false positive and needs to be replicated. These findings highlight the important role of parenting behaviors and family conflict in relation to impulsivity among children. JournalDevelopment and psychopathologyPublished2022/12/16AuthorsSu J, Trevino A, Jamil B, Aliev FKeywordsalcohol, family conflict, impulsivity, parenting, polygenic scoreDOI10.1017/S095457942200092X |
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Toggle | Fast Image-Level MRI Harmonization via Spectrum Analysis. | Machine learning in medical imaging. MLMI (Workshop) | Guan H, Liu S, Lin W, et al. | 2022 | |
PubMed Record
AbstractPooling structural magnetic resonance imaging (MRI) data from different imaging sites helps increase sample size to facilitate machine learning based neuroimage analysis, but usually suffers from significant cross-site and/or cross-scanner data heterogeneity. Existing studies often focus on reducing cross-site and/or cross-scanner heterogeneity at handcrafted feature level targeting specific tasks (e.g., classification or segmentation), limiting their adaptability in clinical practice. Research on image-level MRI harmonization targeting a broad range of applications is very limited. In this paper, we develop a spectrum swapping based image-level MRI harmonization (SSIMH) framework. Different from previous work, our method focuses on alleviating cross-scanner heterogeneity at . We first construct to explore the influences of different frequency components on MRI harmonization. We then utilize a method for the harmonization of raw MRIs acquired by different scanners. Our method does not rely on complex model training, and can be directly applied to fast real-time MRI harmonization. Experimental results on T1- and T2-weighted MRIs of phantom subjects acquired by using different scanners from the public ABCD dataset suggest the effectiveness of our method in structural MRI harmonization at the image level. JournalMachine learning in medical imaging. MLMI (Workshop)Published2022/12/16AuthorsGuan H, Liu S, Lin W, Yap PT, Liu MKeywordsImage-level harmonization, MRI, Spectrum analysisDOI10.1007/978-3-031-21014-3_21 |
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Toggle | Performance scaling for structural MRI surface parcellations: a machine learning analysis in the ABCD Study. | Cerebral cortex (New York, N.Y. : 1991) | Hahn S, Owens MM, Yuan D, et al. | 2022 | |
PubMed Record
AbstractThe use of predefined parcellations on surface-based representations of the brain as a method for data reduction is common across neuroimaging studies. In particular, prediction-based studies typically employ parcellation-driven summaries of brain measures as input to predictive algorithms, but the choice of parcellation and its influence on performance is often ignored. Here we employed preprocessed structural magnetic resonance imaging (sMRI) data from the Adolescent Brain Cognitive Development Study® to examine the relationship between 220 parcellations and out-of-sample predictive performance across 45 phenotypic measures in a large sample of 9- to 10-year-old children (N = 9,432). Choice of machine learning (ML) pipeline and use of alternative multiple parcellation-based strategies were also assessed. Relative parcellation performance was dependent on the spatial resolution of the parcellation, with larger number of parcels (up to ~4,000) outperforming coarser parcellations, according to a power-law scaling of between 1/4 and 1/3. Performance was further influenced by the type of parcellation, ML pipeline, and general strategy, with existing literature-based parcellations, a support vector-based pipeline, and ensembling across multiple parcellations, respectively, as the highest performing. These findings highlight the choice of parcellation as an important influence on downstream predictive performance, showing in some cases that switching to a higher resolution parcellation can yield a relatively large boost to performance. JournalCerebral cortex (New York, N.Y. : 1991)Published2022/12/15AuthorsHahn S, Owens MM, Yuan D, Juliano AC, Potter A, Garavan H, Allgaier NKeywordsmachine learning, neuroimaging, parcellations, sMRI, surfaceDOI10.1093/cercor/bhac060 |
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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
AbstractAdherence 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. JournalThe Journal of adolescent health : official publication of the Society for Adolescent MedicinePublished2022/12/15AuthorsFung H, Yeo BTT, Chen C, Lo JC, Chee MWL, Ong JLKeywordsAdolescents, BMI, Brain morphometry, Children, Cognition, Movement behaviors, Physical activity, Psychosocial health, Screen time, SleepDOI10.1016/j.jadohealth.2022.10.019 |
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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
AbstractEnvironmental 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. JournalFrontiers in public healthPublished2022/12/15AuthorsAdise S, Marshall AT, Kan E, Sowell ERKeywordsadolescence, area deprivation, built environment, health policy, neighborhood deprivation, pediatric obesity, structural MRI, structural brain developmentDOI10.3389/fpubh.2022.1061049 |
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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
AbstractWhile 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. JournalMolecular psychiatryPublished2022/12/14AuthorsJung B, Ahn K, Justice C, Norman L, Price J, Sudre G, Shaw PKeywordsDOI10.1038/s41380-022-01906-y |
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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
AbstractExposures 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. JournalExposomePublished2022/12/14AuthorsMoore TM, Visoki E, Argabright ST, Didomenico GE, Sotelo I, Wortzel JD, Naeem A, Gur RC, Gur RE, Warrier V, Guloksuz S, Barzilay RKeywordsallostatic load, child adolescent psychiatry, mental health, obesity, stressDOI10.1093/exposome/osac010 |
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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
AbstractThe 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. JournalThe Journal of adolescent health : official publication of the Society for Adolescent MedicinePublished2022/12/12AuthorsNagata JM, Chu J, Zamora G, Ganson KT, Testa A, Jackson DB, Costello CR, Murray SB, Baker FCKeywordsAdolescent, Obsessive-compulsive disorder, Screen time, Video, Video gameDOI10.1016/j.jadohealth.2022.10.023 |
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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
AbstractChildren 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. JournalNature human behaviourPublished2022/12/08AuthorsBaldwin 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 JBKeywordsDOI10.1038/s41562-022-01482-9 |
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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
AbstractIt 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. JournalJournal of the American Statistical AssociationPublished2022/12/08AuthorsLiu B, Zhang Q, Xue L, Song PX, Kang JKeywordsLandscape analysis, Nonconvex optimization, Scalar-on-image regression, Thresholding functionDOI10.1080/01621459.2022.2142590 |
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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
AbstractChildhood 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. JournalJCPP advancesPublished2022/12/07AuthorsZhang Y, Xu B, Kim HH, Muetzel R, Delaney SW, Tiemeier HKeywordsadolescence, comorbidity, externalizing disorder, internalizing disorder, neuroimagingDOI10.1002/jcv2.12114 |
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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
AbstractPreadolescence 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. JournalMolecular psychiatryPublished2022/12/06AuthorsWu X, Palaniyappan L, Yu G, Zhang K, Seidlitz J, Liu Z, Kong X, Schumann G, Feng J, Sahakian BJ, Robbins TW, Bullmore E, Zhang JKeywordsDOI10.1038/s41380-022-01896-x |
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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
AbstractJournalJournal of neurosurgical anesthesiologyPublished2022/12/06AuthorsPrice JC, Lee JJ, Saraiya N, Lei S, Mintz CDKeywordsDOI10.1097/ANA.0000000000000875 |
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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
AbstractWe 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. JournalHealth psychology : official journal of the Division of Health Psychology, American Psychological AssociationPublished2022/12/05AuthorsAdise S, Marshall AT, Kan E, Gonzalez MR, Sowell ERKeywordsDOI10.1037/hea0001250 |
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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
AbstractThe 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. JournalPediatric researchPublished2022/12/01AuthorsIsaiah A, Ernst TM, Liang H, Ryan M, Cunningham E, Rodriguez PJ, Menken M, Kaschak D, Guihen C, Reeves G, Lever N, Edwards SM, Chang LKeywordsDOI10.1038/s41390-022-02399-9 |
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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
AbstractJournalJAMA pediatricsPublished2022/12/01AuthorsBaranger DAA, Paul SE, Colbert SMC, Karcher NR, Johnson EC, Hatoum AS, Bogdan RKeywordsDOI10.1001/jamapediatrics.2022.3191 |
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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
AbstractAutism 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. JournalNeurobiology of learning and memoryPublished2022/11/28AuthorsCasten LG, Thomas TR, Doobay AF, Foley-Nicpon M, Kramer S, Nickl-Jockschat T, Abel T, Assouline S, Michaelson JJKeywordsAutism, Cognition, Genetics, Intelligence, Mental health, Polygenic scores, Psychiatry, Suicide, Twice-exceptionalDOI10.1016/j.nlm.2022.107698 |
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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
AbstractCausal explanations for the association of young motherhood with increased risk for child attention-deficit hyperactivity disorder (ADHD) remain unclear. JournalJournal of child psychology and psychiatry, and allied disciplinesPublished2022/11/28AuthorsBaker BH, Joo YY, Park J, Cha J, Baccarelli AA, Posner JKeywordsAttention-deficit hyperactivity disorder, environmental exposures, epidemiology, genetics, teenage mothersDOI10.1111/jcpp.13726 |
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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
AbstractEvidence 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. JournalHealth psychology : official journal of the Division of Health Psychology, American Psychological AssociationPublished2022/11/28AuthorsDash GF, Carter E, Karalunas SL, Hudson KA, Fair D, Feldstein Ewing SWKeywordsDOI10.1037/hea0001252 |
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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
AbstractWith 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. JournalJournal of adolescencePublished2022/11/28AuthorsNagata JM, Trompeter N, Singh G, Raney J, Ganson KT, Testa A, Jackson DB, Murray SB, Baker FCKeywordsadolescents, adverse childhood experiences, cyberbullying, pediatrics, screen timeDOI10.1002/jad.12124 |
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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
AbstractWomen 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. JournalDevelopmental cognitive neurosciencePublished2022/11/28AuthorsSerio B, Kohler R, Ye F, Lichenstein SD, Yip SWKeywordsAdolescence, Hormones, Internalizing symptoms, Neurodevelopment, Puberty, Sex differencesDOI10.1016/j.dcn.2022.101182 |
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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
AbstractSelf-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. JournalSensors (Basel, Switzerland)Published2022/11/26AuthorsWing 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 KSKeywordsFitbit, children, consumer wearables, physical activityDOI10.3390/s22239189 |
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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
AbstractIntraindividual 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. JournalBiological psychiatry global open sciencePublished2022/11/26AuthorsChang SE, Lenartowicz A, Hellemann GS, Uddin LQ, Bearden CEKeywordsABCD Study, Adolescence, Attention, Neurocognitive performance, Resting-state functional connectivityDOI10.1016/j.bpsgos.2022.11.003 |
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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
AbstractSuicidal 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. JournalBrain sciencesPublished2022/11/23AuthorsHoffman KW, Visoki E, Argabright ST, Schultz LM, Didomenico GE, Tran KT, Gordon JH, Chaiyachati BH, Moore TM, Almasy L, Barzilay RKeywordsABCD Study, adolescents, asthma, immune dysregulation, inflammation, suicidalityDOI10.3390/brainsci12121602 |
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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
AbstractTobacco 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. JournalThe Journal of adolescent health : official publication of the Society for Adolescent MedicinePublished2022/11/21AuthorsDai HD, Pierce J, Beseler C, Abadi A, Zoucha K, Johnson R, Buckley J, Ramos AKKeywordsEarly year, Nested hierarchical model, The Adolescent Brain and Cognitive Development (ABCD) study, Tobacco use susceptibilityDOI10.1016/j.jadohealth.2022.09.021 |
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Toggle | Peer correlates of conduct problems in girls. | Aggressive behavior | Schiff SJ, Lee SS | 2022 | |
PubMed Record
AbstractConduct 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. JournalAggressive behaviorPublished2022/11/21AuthorsSchiff SJ, Lee SSKeywordsadolescent, conduct problems, girls, peer risk, peer supportDOI10.1002/ab.22063 |
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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
AbstractSignificant 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. JournalDevelopmental cognitive neurosciencePublished2022/11/19AuthorsHuffman LG, Oshri AKeywordsAdolescence, Emotion regulation, Latent Transition Analysis, Working memoryDOI10.1016/j.dcn.2022.101177 |
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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
AbstractChildren 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. JournalSchizophrenia bulletinPublished2022/11/18AuthorsJay SY, Schiffman J, Grattan R, O'Hare K, Klaunig M, DeVylder J, Karcher NRKeywordsearly intervention, prevention, psychosis-spectrum, suicideDOI10.1093/schbul/sbac090 |
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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
AbstractAmerican 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. JournalNeuropsychopharmacology : official publication of the American College of NeuropsychopharmacologyPublished2022/11/16AuthorsWhite EJ, Demuth MJ, Wiglesworth A, Coser AD, Garrett BA, Kominsky TK, Jernigan V, Thompson WK, Paulus M, Aupperle RKeywordsDOI10.1038/s41386-022-01498-9 |
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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
AbstractAdverse 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. JournalJournal of eating disordersPublished2022/11/16AuthorsChu J, Raney JH, Ganson KT, Wu K, Rupanagunta A, Testa A, Jackson DB, Murray SB, Nagata JMKeywordsAdolescent health, Adverse childhood experiences (ACEs), Binge-eating disorderDOI10.1186/s40337-022-00682-y |
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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
AbstractAlthough 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. JournalJCPP advancesPublished2022/11/16AuthorsBolhuis K, Mulder RH, de Mol CL, Defina S, Warrier V, White T, Tiemeier H, Muetzel RL, Cecil CAMKeywordsMRI, early life stress, gene-environment interaction, genome-wide association study, psychopathologyDOI10.1002/jcv2.12113 |
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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
AbstractA 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. JournalScientific reportsPublished2022/11/15AuthorsHamatani S, Hiraoka D, Makita K, Tomoda A, Mizuno YKeywordsDOI10.1038/s41598-022-22694-z |
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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
AbstractThe 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. JournalLancet regional health. AmericasPublished2022/11/15AuthorsArgabright ST, Tran KT, Visoki E, DiDomenico GE, Moore TM, Barzilay RKeywordsCOVID-19, Child and adolescent mental health, Depression, Economic crisis, Financial strain, StressDOI10.1016/j.lana.2022.100391 |
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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
AbstractThe 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. JournalMolecular psychiatryPublished2022/11/15AuthorsCao 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 HKeywordsDOI10.1038/s41380-022-01855-6 |
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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
AbstractThough 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. JournalDrug and alcohol dependence reportsPublished2022/11/15AuthorsSullivan 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 KMKeywordsABCD study, Adolescence, Alcohol sipping, Children, Substance initiation, Substance useDOI10.1016/j.dadr.2022.100120 |