The conception of the ABCD study: From substance use to a broad NIH collaboration.
paper
Cited
Public
- Authors
- Volkow, Nora D; Koob, George F; Croyle, Robert T; Bianchi, Diana W; Gordon, Joshua A; Koroshetz, Walter J; Pérez-Stable, Eliseo J; Riley, William T; Bloch, Michele H; Conway, Kevin; Deeds, Bethany G; Dowling, Gayathri J; Grant, Steven; Howlett, Katia D; Matochik, John A; Morgan, Glen D; Murray, Margaret M; Noronha, Antonio; Spong, Catherine Y; Wargo, Eric M; Warren, Kenneth R; Weiss, Susan R B
- Year
- 2018
- Journal
- Developmental cognitive neuroscience
- PMID
- 29051027
- DOI
- 10.1016/j.dcn.2017.10.002
- PMCID
- PMC5893417
Adolescence is a time of dramatic changes in brain structure and function, and the adolescent brain is highly susceptible to being altered by experiences like substance use. However, there is much we have yet to learn about how these experiences influence brain development, how they promote or interfere with later health outcomes, or even what healthy brain development looks like. A large longitudinal study beginning in early adolescence could help us understand the normal variability in adolescent brain and cognitive development and tease apart the many factors that influence it. Recent advances in neuroimaging, informatics, and genetics technologies have made it feasible to conduct a study of sufficient size and scope to answer many outstanding questions. At the same time, several Institutes across the NIH recognized the value of collaborating in such a project because of its ability to address the role of biological, environmental, and behavioral factors like gender, pubertal hormones, sports participation, and social/economic disparities on brain development as well as their association with the emergence and progression of substance use and mental illness including suicide risk. Thus, the Adolescent Brain Cognitive Development study was created to answer the most pressing public health questions of our day.
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| # | Section | Preview |
|---|---|---|
| 20 | Engaging the scientific community in developing the ABCD framework | Following the workshop, the NIH released a formal Request for Information (RFI) at… |
| 21 | Conclusion | The ABCD study is a collaborative trans-NIH venture, bringing together a wide range of scientific… |
| 22 | Conclusion | to produce the data), which will allow scientists from all over the world to conduct analyses, pool… |
| 23 | Conflict of Interest | None. |
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| Building towards an adolescent neural urbanome: Expanding environmental measures using linked external data (LED) in the ABCD study. | Cardenas-Iniguez C et al. | — | 2024 | → |
| Characterization and Mitigation of a Simultaneous Multi-Slice fMRI Artifact: Multiband Artifact Regression in Simultaneous Slices. | Tubiolo PN et al. | — | 2024 | → |
| Characterizing Long COVID in Children and Adolescents. | Gross RS et al. | — | 2024 | → |
| Childhood adversity is associated with reduced BOLD response in inhibitory control regions amongst preadolescents from the ABCD study. | Stinson EA et al. | — | 2024 | → |
| Childhood internalizing, externalizing and attention symptoms predict changes in social and nonsocial screen time. | Keyes K et al. | — | 2024 | → |
| Common Cause Versus Dynamic Mutualism: An Empirical Comparison of Two Theories of Psychopathology in Two Large Longitudinal Cohorts. | Aristodemou ME et al. | — | 2024 | → |
| Communications, engagement, and dissemination strategies for the HEALthy Brain and Child Development (HBCD) Study. | Cole KM et al. | — | 2024 | → |
| Comparing two measures of neighborhood quality and internalizing and externalizing behaviors in the adolescent brain cognitive development study. | Beyer L et al. | — | 2024 | → |
| Concurrent and longitudinal neurostructural correlates of irritability in children. | Archer C et al. | — | 2024 | → |
| Constructing and exploring neuroimaging projects: a survey from clinical practice to scientific research. | Chen Z et al. | — | 2024 | → |
| Data-driven, generalizable prediction of adolescent sleep disturbances in the multisite Adolescent Brain Cognitive Development Study. | McCurry KL et al. | — | 2024 | → |
| Depressive symptoms during the transition to adolescence: Left hippocampal volume as a marker of social context sensitivity. | Martinez M et al. | — | 2024 | → |
| Differential Item Functioning in Reports of Delinquent Behavior Between Black and White Youth: Evidence of Measurement Bias in Self-Reports of Arrest in the Adolescent Brain Cognitive Development Study. | Brislin SJ et al. | — | 2024 | → |
| Distinct structural brain network properties in children with familial versus non-familial attention-deficit/hyperactivity disorder (ADHD). | Baboli R et al. | — | 2024 | → |
| Editorial: On the Economics of Neuroscientific Data Sharing. | Van Horn JD | — | 2024 | → |
| Emotion Recognition and Self-Reported Emotion Processing in Alcohol and Cannabis Co-Using Young Adults. | Cservenka A et al. | — | 2024 | → |
| Endophenotype 2.0: updated definitions and criteria for endophenotypes of psychiatric disorders, incorporating new technologies and findings. | Liu C et al. | — | 2024 | → |
| Enhancing causal inference in population-based neuroimaging data in children and adolescents. | Visontay R et al. | — | 2024 | → |
| Estimating the total variance explained by whole-brain imaging for zero-inflated outcomes. | Ren J et al. | — | 2024 | → |
| Examining neural responses to anticipating or receiving monetary rewards and the development of binge eating in youth. A registered report using data from the Adolescent Brain Cognitive Development (ABCD) study. | Lowe CJ et al. | — | 2024 | → |
| Executive function differences as a function of parent-reported binge eating and weight: Results from the adolescent brain cognitive development study. | Rozzell-Voss KN et al. | — | 2024 | → |
| Executive functioning, behavior, and white matter microstructure in the chronic phase after pediatric mild traumatic brain injury: results from the adolescent brain cognitive development study. | Betz AK et al. | — | 2024 | → |
| Exploring Data Collection Priorities of Community Partners in Early Psychosis Care. | Savill M et al. | — | 2024 | → |
| Genetic and brain similarity independently predict childhood anthropometrics and neighborhood socioeconomic conditions. | Dahl A et al. | — | 2024 | → |
| Genetic and environmental influence on alcohol intent and alcohol sips among U.S. children-Effects across sex, race, and ethnicity. | Puga T et al. | — | 2024 | → |
| Genetic Architectures of Adolescent Depression Trajectories in 2 Longitudinal Population Cohorts. | Grimes PZ et al. | — | 2024 | → |
| Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries. | García-Marín LM et al. | — | 2024 | → |
| Global topology of human connectome is insensitive to early life environments - A prospective longitudinal study of the general population. | Carozza S et al. | — | 2024 | → |
| Gray and White Matter Metrics Demonstrate Distinct and Complementary Prediction of Differences in Cognitive Performance in Children: Findings from ABCD (<i>N</i> = 11,876). | Michel LC et al. | — | 2024 | → |
| Greater social jetlag predicts poorer NIH Toolbox crystallized cognitive and academic performance in the Adolescent Brain Cognitive Development (ABCD) study. | Li AR et al. | — | 2024 | → |
| Happy children! A network of psychological and environmental factors associated with the development of positive affect in 9-13 children. | Feraco T et al. | — | 2024 | → |
| Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study. | Cetin-Karayumak S et al. | — | 2024 | → |
| Hierarchical individual variation and socioeconomic impact on personalized functional network topography in children. | Zhao S et al. | — | 2024 | → |
| Household Income and Subsequent Youth Tobacco Initiation: Minorities' Diminished Returns. | Assari S et al. | — | 2024 | → |
| How Does Parental Monitoring Reduce Adolescent Substance Use? Preliminary Tests of Two Potential Mechanisms. | Pelham WE et al. | — | 2024 | → |
| How does the macroenvironment influence brain and behaviour-a review of current status and future perspectives. | Polemiti E et al. | — | 2024 | → |
| How measurement noise limits the accuracy of brain-behaviour predictions. | Gell M et al. | — | 2024 | → |
| Identification of a Composite Latent Dimension of Reward and Impulsivity Across Clinical, Behavioral, and Neurobiological Domains Among Youth. | Kohler R et al. | — | 2024 | → |
| Impact of analytic decisions on test-retest reliability of individual and group estimates in functional magnetic resonance imaging: A multiverse analysis using the monetary incentive delay task. | Demidenko MI et al. | — | 2024 | → |
| Inter-Modality Source Coupling: A Fully-Automated Whole-Brain Data-Driven Structure-Function Fingerprint Shows Replicable Links to Reading in a Large-Scale (N∼8K) Analysis. | Kotoski A et al. | — | 2024 | → |
| Leveraging big data for causal understanding in mental health: a research framework. | Newson JJ et al. | — | 2024 | → |
| Leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples. | Makowski C et al. | — | 2024 | → |
| Lifetime residential data collection protocol for the Adolescent Brain Cognitive Development (ABCD) Study. | Badilla P et al. | — | 2024 | → |
| Lifetime residential history collection and processing for environmental data linkages in the ABCD study. | Abad S et al. | — | 2024 | → |
| Lifetime use of alcohol and cannabis among U.S. adolescents across age: Exploring differential patterns by sex and race/ethnicity using the 2019 NSDUH data. | Farokhnia M et al. | — | 2024 | → |
| Longitudinal associations of e-cigarette use with cigarette, marijuana, and other drug use initiation among US adolescents and young adults: Findings from the population assessment of tobacco and health study (Waves 1-6). | Evans-Polce RJ et al. | — | 2024 | → |
| Longitudinal study of peer victimization, social support, and mental health during early adolescence. | Martínez M et al. | — | 2024 | → |
| Maternal Tobacco Use During Pregnancy and Child Neurocognitive Development. | Puga TB et al. | — | 2024 | → |
| Measurement of emerging neurocognitive and language skills in the HEALthy Brain and Child Development (HBCD) study. | Kable JA et al. | — | 2024 | → |
| Menarche, pubertal timing and the brain: female-specific patterns of brain maturation beyond age-related development. | Gottschewsky N et al. | — | 2024 | → |
| Multilayer meta-matching: Translating phenotypic prediction models from multiple datasets to small data. | Chen P et al. | — | 2024 | → |
| Multi-level fMRI analysis applied to hemispheric specialization in the language network, functional areas, and their behavioral correlations in the ABCD sample. | Day TKM et al. | — | 2024 | → |
| Multiple marginalization, discrimination, and disordered eating among youth aged 10-11. | Boswell RG et al. | — | 2024 | → |
| Negative and positive urgency as pathways in the intergenerational transmission of suicide risk in childhood. | Ortin-Peralta A et al. | — | 2024 | → |
| Neighborhood Greenspace, Extreme Heat Exposure, and Sleep Quality over Time among a Nationally Representative Sample of American Children. | Rahai R et al. | — | 2024 | → |
| Neural response to monetary incentives in acquired adolescent depression after mild traumatic brain injury: Stage 2 Registered Report. | Hogeveen J et al. | — | 2024 | → |
| Neurite Orientation Dispersion and Density Imaging (NODDI) of Brain Microstructure in Adolescent Cannabis and Nicotine Use. | Wallace AL et al. | — | 2024 | → |
| Neuroanatomical Variability and Substance Use Initiation in Late Childhood and Early Adolescence. | Miller AP et al. | — | 2024 | → |
| Neurodevelopmental subtypes of functional brain organization in the ABCD study using a rigorous analytic framework. | DeRosa J et al. | — | 2024 | → |
| Neuroendocrine mechanisms in the links between early life stress, affect, and youth substance use: A conceptual model for the study of sex and gender differences. | Donovan A et al. | — | 2024 | → |
| Neurovascular effects of cocaine: relevance to addiction. | Clare K et al. | — | 2024 | → |
| Nicotine use during late adolescence and young adulthood is associated with changes in hippocampal volume and memory performance. | Happer JP et al. | — | 2024 | → |
| NowIKnowMyABCD: A global resource hub for researchers using data from the ABCD Study. | Ali SA et al. | — | 2024 | → |
| Parental Legal System Involvement, Positive Childhood Experiences, and Suicide Risk. | Bravo LG et al. | — | 2024 | → |
| Partitioning variance in cortical morphometry into genetic, environmental, and subject-specific components. | Smith DM et al. | — | 2024 | → |
| Passively sensing smartphone use in teens with rates of use by sex and across operating systems. | Alexander JD et al. | — | 2024 | → |
| Population-level normative models reveal race- and socioeconomic-related variability in cortical thickness of threat neurocircuitry. | Harnett NG et al. | — | 2024 | → |
| Predicting depression risk in early adolescence via multimodal brain imaging. | Gracia-Tabuenca Z et al. | — | 2024 | → |
| Prenatal and childhood air pollution exposure, cellular immune biomarkers, and brain connectivity in early adolescents. | Cotter DL et al. | — | 2024 | → |
| Prenatal Tobacco Exposure, Brain Subcortical Volumes, and Gray-White Matter Contrast. | Puga TB et al. | — | 2024 | → |
| Probing the digital exposome: associations of social media use patterns with youth mental health. | Pagliaccio D et al. | — | 2024 | → |
| Quality over quantity: powering neuroimaging samples in psychiatry. | Makowski C et al. | — | 2024 | → |
| Reflections on the past two decades of Mind, Brain, and Education. | Ozernov-Palchik O et al. | — | 2024 | → |
| Replicability and generalizability in population psychiatric neuroimaging. | Marek S et al. | — | 2024 | → |
| Researching COVID to enhance recovery (RECOVER) pediatric study protocol: Rationale, objectives and design. | Gross RS et al. | — | 2024 | → |
| Revisiting the role of computational neuroimaging in the era of integrative neuroscience. | Loosen AM et al. | — | 2024 | → |
| Sex and pubertal variation in reward-related behavior and neural activation in early adolescents. | Barendse MEA et al. | — | 2024 | → |
| Sex, gender diversity, and brain structure in early adolescence. | Torgerson C et al. | — | 2024 | → |
| Sex-specific impulsivity, but not other facets of executive function, predicts fat and sugar intake two-years later amongst adolescents with a healthy weight: Findings from the ABCD study. | Adise S et al. | — | 2024 | → |
| Sexual orientation and mental health in a US cohort of children: a longitudinal mediation study. | Feinstein BA et al. | — | 2024 | → |
| Skin-deep Resilience and Early Adolescence: Neighborhood Disadvantage, Executive Functioning, and Pubertal Development in Minority Youth. | Barton AW et al. | — | 2024 | → |
| Socioeconomic resources in youth are linked to divergent patterns of network integration/segregation across the brain's transmodal axis. | Michael C et al. | — | 2024 | → |
| Substance Use Disorders: Population Prevention. | — | — | 2024 | → |
| The ABCD and HBCD Studies: Longitudinal Studies to Inform Prevention Science. | Dowling GJ et al. | — | 2024 | → |
| The HEALthy Brain and Child Development Study (HBCD): NIH collaboration to understand the impacts of prenatal and early life experiences on brain development. | Volkow ND et al. | — | 2024 | → |
| The Human Connectome Project of adolescent anxiety and depression dataset. | Hubbard NA et al. | — | 2024 | → |
| The impact of psychosocial adversity on brain and behaviour: an overview of existing knowledge and directions for future research. | Vaidya N et al. | — | 2024 | → |
| The longitudinal association between reward processing and symptoms of video game addiction in the Adolescent Brain Cognitive Development Study. | Lopez DA et al. | — | 2024 | → |
| The neuroscience of mental illness: Building toward the future. | Gordon JA et al. | — | 2024 | → |
| The Promise and Challenges of Integrating Biological and Prevention Sciences: A Community-Engaged Model for the Next Generation of Translational Research. | Leve LD et al. | — | 2024 | → |
| Towards personalized precision functional mapping in infancy. | Moore LA et al. | — | 2024 | → |
| TractoSCR: a novel supervised contrastive regression framework for prediction of neurocognitive measures using multi-site harmonized diffusion MRI tractography. | Xue T et al. | — | 2024 | → |
| Transparency and reproducibility in the Adolescent Brain Cognitive Development (ABCD) study. | Lopez DA et al. | — | 2024 | → |
| Traumatic brain injury, working memory-related neural processing, and alcohol experimentation behaviors in youth from the ABCD cohort. | Delfel EL et al. | — | 2024 | → |
| Why experimental variation in neuroimaging should be embraced. | Kiar G et al. | — | 2024 | → |
| XCP-D: A robust pipeline for the post-processing of fMRI data. | Mehta K et al. | — | 2024 | → |
| A canonical trajectory of executive function maturation from adolescence to adulthood. | Tervo-Clemmens B et al. | — | 2023 | → |
| Acculturative Orientations Among Hispanic/Latinx Caregivers in the ABCD Study: Associations With Caregiver and Youth Mental Health and Youth Brain Function. | Meca A et al. | — | 2023 | → |
| A cognitive process modeling framework for the ABCD study stop-signal task. | Weigard A et al. | — | 2023 | → |
| A data-driven approach to categorizing early life adversity exposure in the ABCD Study. | Orendain N et al. | — | 2023 | → |
| Adolescent brain cognitive development study: Longitudinal methods, developmental findings, and associations with environmental risk factors. | Luciana M et al. | — | 2023 | → |
| Adolescent neurostimulation of dopamine circuit reverses genetic deficits in frontal cortex function. | Mastwal S et al. | — | 2023 | → |
| Advancing early relational health: a collaborative exploration of a research agenda. | Dumitriu D et al. | — | 2023 | → |
| Ambient fine particulate exposure and subcortical gray matter microarchitecture in 9- and 10-year-old children across the United States. | Sukumaran K et al. | — | 2023 | → |
| Ancestral, Pregnancy, and Negative Early-Life Risks Shape Children's Brain (Dis)similarity to Schizophrenia. | Kochunov P et al. | — | 2023 | → |
| A Phenome-Wide Association Study (PheWAS) of Late Onset Alzheimer Disease Genetic Risk in Children of European Ancestry at Middle Childhood: Results from the ABCD Study. | Gorelik AJ et al. | — | 2023 | → |
| Assessing the utility of a novel cortical marker of delay discounting (C-DD) in two independent samples of early adolescents: Links with externalizing pathology. | Bounoua N et al. | — | 2023 | → |
| Associations among prenatal exposure to gestational diabetes mellitus, brain structure, and child adiposity markers. | Luo S et al. | — | 2023 | → |
| Associations between body mass index, sleep-disordered breathing, brain structure, and behavior in healthy children. | Cui J et al. | — | 2023 | → |
| Associations between socioeconomic gradients and racial disparities in preadolescent brain outcomes. | Isaiah A et al. | — | 2023 | → |
| Associations Between Socioeconomic Status, Obesity, Cognition, and White Matter Microstructure in Children. | Li ZA et al. | — | 2023 | → |
| Automated motion artifact detection in early pediatric diffusion MRI using a convolutional neural network. | Weaver JM et al. | — | 2023 | → |
| Behavioral addictions in the ICD-11: An important debate that is anticipated to continue for some time. | Brand M et al. | — | 2023 | → |
| Brain structural co-development is associated with internalizing symptoms two years later in the ABCD cohort. | Zhao Y et al. | — | 2023 | → |
| Brief Alcohol Interventions are Effective through 6 Months: Findings from Marginalized Zero-inflated Poisson and Negative Binomial Models in a Two-step IPD Meta-analysis. | Mun EY et al. | — | 2023 | → |
| Caregiver monitoring, but not caregiver warmth, is associated with general cognition in two large sub-samples of youth. | Keller AS et al. | — | 2023 | → |
| Chromosomal inversion polymorphisms shape human brain morphology. | Wang H et al. | — | 2023 | → |
| Comparison of different approaches to manage multi-site magnetic resonance spectroscopy clinical data analysis. | La PL et al. | — | 2023 | → |
| Comprehensive evaluation of harmonization on functional brain imaging for multisite data-fusion. | Wang YW et al. | — | 2023 | → |
| Computational Modeling of the n-Back Task in the ABCD Study: Associations of Drift Diffusion Model Parameters to Polygenic Scores of Mental Disorders and Cardiometabolic Diseases. | Pedersen ML et al. | — | 2023 | → |
| Concordance between substance use self-report and hair analysis in community-based adolescents. | Wade NE et al. | — | 2023 | → |
| Concordance in Child-Parent Reporting of Social Victimization Experiences in the Adolescent Brain Cognitive Development Study. | Tang JT et al. | — | 2023 | → |
| Current Approaches in Computational Psychiatry for the Data-Driven Identification of Brain-Based Subtypes. | Brucar LR et al. | — | 2023 | → |
| Different patterns of intrinsic functional connectivity at the default mode and attentional networks predict crystalized and fluid abilities in childhood. | Lombardo D et al. | — | 2023 | → |
| DomainATM: Domain adaptation toolbox for medical data analysis. | Guan H et al. | — | 2023 | → |
| Early path dominance as a principle for neurodevelopment. | Razban RM et al. | — | 2023 | → |
| Effects of ambient fine particulates, nitrogen dioxide, and ozone on maturation of functional brain networks across early adolescence. | Cotter DL et al. | — | 2023 | → |
| Executive Network Activation Moderates the Association between Neighborhood Threats and Externalizing Behavior in Youth. | Conley MI et al. | — | 2023 | → |
| Exploring the associations between serious psychological distress and the quantity or frequency of tobacco, alcohol, and cannabis use among pregnant women in the United States. | David AT et al. | — | 2023 | → |
| Family History of Depression and Neural Reward Sensitivity: Findings From the Adolescent Brain Cognitive Development Study. | Freeman C et al. | — | 2023 | → |
| Five recommendations for using large-scale publicly available data to advance health among American Indian peoples: the Adolescent Brain and Cognitive Development (ABCD) Study<sup>SM</sup> as an illustrative case. | White EJ et al. | — | 2023 | → |
| General and Specific Factors of Environmental Stress and Their Associations With Brain Structure and Dimensions of Psychopathology. | Jeong HJ et al. | — | 2023 | → |
| Genome-wide analysis of a model-derived binge eating disorder phenotype identifies risk loci and implicates iron metabolism. | Burstein D et al. | — | 2023 | → |
| Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders. | Wu BS et al. | — | 2023 | → |
| Heritability Estimation of Cognitive Phenotypes in the ABCD Study<sup>®</sup> Using Mixed Models. | Smith DM et al. | — | 2023 | → |
| Heritability of Childhood Music Engagement and Associations with Language and Executive Function: Insights from the Adolescent Brain Cognitive Development (ABCD) Study. | Gustavson DE et al. | — | 2023 | → |
| Hierarchical Modeling of Psychosocial, Parental, and Environmental Factors for Susceptibility to Tobacco Product Use in 9-10-Year-Old Children. | Dai HD et al. | — | 2023 | → |
| Hispanic/Latinx ethnic differences in the relationships between behavioral inhibition, anxiety, and substance use in youth from the ABCD cohort. | Correa KA et al. | — | 2023 | → |
| How robust is the relationship between neural processing speed and cognitive abilities? | Schubert AL et al. | — | 2023 | → |
| How to build up big team science: a practical guide for large-scale collaborations. | Baumgartner HA et al. | — | 2023 | → |
| Impact of Childhood Trauma Exposure, Genetic Variation in Endocannabinoid Signaling, and Anxiety on Frontolimbic Pathways in Children. | Marusak HA et al. | — | 2023 | → |
| Inferring the Genetic Influences on Psychological Traits Using MRI Connectivity Predictive Models: Demonstration with Cognition. | Hatoum AS et al. | — | 2023 | → |
| Intelligence Polygenic Score Is More Predictive of Crystallized Measures: Evidence From the Adolescent Brain Cognitive Development (ABCD) Study. | Loughnan RJ et al. | — | 2023 | → |
| Joint polygenic and environmental risks for childhood attention-deficit/hyperactivity disorder (ADHD) and ADHD symptom dimensions. | Mooney MA et al. | — | 2023 | → |
| Larger cerebral cortex is genetically correlated with greater frontal area and dorsal thickness. | Makowski C et al. | — | 2023 | → |
| Longitudinal assessment of brain structure and behaviour in youth with rapid weight gain: Potential contributing causes and consequences. | Adise S et al. | — | 2023 | → |
| Longitudinal Associations Between Perceived Discrimination and Suicidality in Youth. | Pearlman AT et al. | — | 2023 | → |
| Mapping and comparing fMRI connectivity networks across species. | Pagani M et al. | — | 2023 | → |
| Mapping Individual-Specific Regions of the Multiple Demand Network during Development Reveals Increased Selectivity Associated with Executive Function. | Shetty A et al. | — | 2023 | → |
| Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project - EU Child Cohort Network: A Cohort Description. | Nader JL et al. | — | 2023 | → |
| Mild Traumatic Brain Injury and Behavior and Sleep Among 9- and 10-Year Old Children: Initial Findings From the Adolescent Brain Cognitive Development (ABCD) Study. | Sheth C et al. | — | 2023 | → |
| Multi-ancestry phenome-wide association of complement component 4 variation with psychiatric and brain phenotypes in youth. | Hernandez LM et al. | — | 2023 | → |
| Multivariate analytical approaches for investigating brain-behavior relationships. | Durham EL et al. | — | 2023 | → |
| Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders. | Hatoum AS et al. | — | 2023 | → |
| Neurobiological Clusters Are Associated With Trajectories of Overall Psychopathology in Youth. | Wang C et al. | — | 2023 | → |
| Nonsuicidal Self-Injury in Preadolescents. | Burke TA et al. | — | 2023 | → |
| Overweight/Obesity-related microstructural alterations of the fimbria-fornix in the ABCD study: The role of aerobic physical activity. | Ma J et al. | — | 2023 | → |
| Pandemic-Related Changes in the Prevalence of Early Adolescent Alcohol and Drug Use, 2020-2021: Data From a Multisite Cohort Study. | Pelham WE et al. | — | 2023 | → |
| Parental knowledge/monitoring and adolescent substance use: A causal relationship? | Pelham WE et al. | — | 2023 | → |
| Personalized functional brain network topography is associated with individual differences in youth cognition. | Keller AS et al. | — | 2023 | → |
| Person-centred Approaches to Psychopathology in the ABCD Study: Phenotypes and Neurocognitive Correlates. | Retzler C et al. | — | 2023 | → |
| Physical symptoms and brain morphology: a population neuroimaging study in 12,286 pre-adolescents. | Estévez-López F et al. | — | 2023 | → |
| Polygenic Risk for Schizophrenia, Major Depression, and Post-traumatic Stress Disorder and Hippocampal Subregion Volumes in Middle Childhood. | Pine JG et al. | — | 2023 | → |
| Precision behavioral phenotyping as a strategy for uncovering the biological correlates of psychopathology. | Tiego J et al. | — | 2023 | → |
| Predictive Clinical Neuroscience Portal (PCNportal): instant online access to research-grade normative models for clinical neuroscientists. | Barkema P et al. | — | 2023 | → |
| Prior differences in previous trauma exposure primarily drive the observed racial/ethnic differences in posttrauma depression and anxiety following a recent trauma. | Harnett NG et al. | — | 2023 | → |
| Profiling intra- and inter-individual differences in brain development across early adolescence. | Bottenhorn KL et al. | — | 2023 | → |
| Prospective, longitudinal study to isolate the impacts of marijuana use on neurocognitive functioning in adolescents. | Ren W et al. | — | 2023 | → |
| Racial Disparities in Adversity During Childhood and the False Appearance of Race-Related Differences in Brain Structure. | Dumornay NM et al. | — | 2023 | → |
| Racial/Ethnic Disparities in Mental Healthcare in Youth With Incarcerated Parents. | Ryan JE et al. | — | 2023 | → |
| Racial inequities and addiction research. | Compton WM et al. | — | 2023 | → |
| Representation Challenges in Large Clinical Datasets. | Alliende LM et al. | — | 2023 | → |
| Sleep disorders predict the 1-year onset, persistence, but not remission of psychotic experiences in preadolescence: a longitudinal analysis of the ABCD cohort data. | Reeve S et al. | — | 2023 | → |
| Sociocultural influences on alcohol expectancies in early adolescence: Findings from the ABCD study. | Sanchez M et al. | — | 2023 | → |
| Structural brain correlates of non-verbal cognitive ability in 5-year-old children: Findings from the FinnBrain birth cohort study. | Pulli EP et al. | — | 2023 | → |
| Substance familiarity in middle childhood and adolescent substance use. | Bhatia D et al. | — | 2023 | → |
| 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. | Xue T et al. | — | 2023 | → |
| Testing the consequences of alcohol, cannabis, and nicotine use on hippocampal volume: a quasi-experimental cotwin control analysis of young adult twins. | Harper J et al. | — | 2023 | → |
| 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. | Spechler PA et al. | — | 2023 | → |
| The Genetically Informed Neurobiology of Addiction (GINA) model. | Bogdan R et al. | — | 2023 | → |
| The neurobiology of duration of untreated psychosis: a comprehensive review. | Zoghbi AW et al. | — | 2023 | → |
| The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis. | Nigg JT et al. | — | 2023 | → |
| The prospective relationship between weight-based discrimination and eating pathology among youth. | Pearlman AT et al. | — | 2023 | → |
| The Queensland Twin Adolescent Brain Project, a longitudinal study of adolescent brain development. | Strike LT et al. | — | 2023 | → |
| The relations between chronotype, stressful life events, and impulsivity in the Adolescent Brain Cognitive Development (ABCD) study. | McCarthy MJ et al. | — | 2023 | → |
| Triangulating causality between childhood obesity and neurobehavior: Behavioral genetic and longitudinal evidence. | Kulisch LK et al. | — | 2023 | → |
| White matter microstructure shows sex differences in late childhood: Evidence from 6797 children. | Lawrence KE et al. | — | 2023 | → |
| Whole Person Modeling: a transdisciplinary approach to mental health research. | Felsky D et al. | — | 2023 | → |
| Youth Screen Media Activity Patterns and Associations With Behavioral Developmental Measures and Resting-state Brain Functional Connectivity. | Song K et al. | — | 2023 | → |
| Youth Team Sports Participation Associates With Reduced Dimensional Psychopathology Through Interaction With Biological Risk Factors. | Kunitoki K et al. | — | 2023 | → |
| Access to quality health resources and environmental toxins affect the relationship between brain structure and BMI in a sample of pre and early adolescents. | Adise S et al. | — | 2022 | → |
| Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models. | Bayer JMM et al. | — | 2022 | → |
| A comparison of methods to harmonize cortical thickness measurements across scanners and sites. | Sun D et al. | — | 2022 | → |
| Advancing motion denoising of multiband resting-state functional connectivity fMRI data. | Williams JC et al. | — | 2022 | → |
| Age-related differences in the effect of chronic alcohol on cognition and the brain: a systematic review. | Kuhns L et al. | — | 2022 | → |
| A longitudinal multi-scanner multimodal human neuroimaging dataset. | Hawco C et al. | — | 2022 | → |
| A longitudinal resource for studying connectome development and its psychiatric associations during childhood. | Tobe RH et al. | — | 2022 | → |
| A multidimensional approach to understanding the emergence of sex differences in internalizing symptoms in adolescence. | Serio B et al. | — | 2022 | → |
| An open-access accelerated adult equivalent of the ABCD Study neuroimaging dataset (a-ABCD). | Rapuano KM et al. | — | 2022 | → |
| A Phenome-Wide Association Study (Phewas) Of Late Onset Alzheimer Disease Genetic Risk in Children of European Ancestry at Middle Childhood: Results From the ABCD Study | Gorelik A et al. | — | 2022 | — |
| Application of the RDoC Framework to Predict Alcohol Use and Suicidal Thoughts and Behaviors among Early Adolescents in the Adolescent Brain and Cognitive Development (ABCD) Study. | Aguinaldo LD et al. | — | 2022 | → |
| A practical guide for researchers and reviewers using the ABCD Study and other large longitudinal datasets. | Saragosa-Harris NM et al. | — | 2022 | → |
| Artificial intelligence and Big Data in neurology. | Amaro Junior E | — | 2022 | → |
| Association between Asthma and Suicidality in 9-12-Year-Old Youths. | Hoffman KW et al. | — | 2022 | → |
| Associations among Household and Neighborhood Socioeconomic Disadvantages, Resting-state Frontoamygdala Connectivity, and Internalizing Symptoms in Youth. | Ip KI et al. | — | 2022 | → |
| Associations between cognition and polygenic liability to substance involvement in middle childhood: Results from the ABCD study. | Paul SE et al. | — | 2022 | → |
| Associations between screen time and internalizing disorder diagnoses among 9- to 10-year-olds. | Roberston L et al. | — | 2022 | → |
| Associations Between Traumatic Stress, Brain Volumes and Post-traumatic Stress Disorder Symptoms in Children: Data from the ABCD Study. | Bustamante D et al. | — | 2022 | → |
| Attention-Deficit/Hyperactivity Disorder: Restricted Phenotypes Prevalence, Comorbidity, and Polygenic Risk Sensitivity in the ABCD Baseline Cohort. | Cordova MM et al. | — | 2022 | → |
| Brain structural covariation linked to screen media activity and externalizing behaviors in children. | Zhao Y et al. | — | 2022 | → |
| Causal effects of psychostimulants on neural connectivity: a mechanistic, randomized clinical trial. | Wang Y et al. | — | 2022 | → |
| Classification of suicidal thoughts and behaviour in children: results from penalised logistic regression analyses in the Adolescent Brain Cognitive Development study. | van Velzen LS et al. | — | 2022 | → |
| Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity. | Li J et al. | — | 2022 | → |
| Differentiated nomological networks of internalizing, externalizing, and the general factor of psychopathology ('<i>p</i> factor') in emerging adolescence in the ABCD study. | Brislin SJ et al. | — | 2022 | → |
| Differentiating kinds of systemic stressors with relation to psychotic-like experiences in late childhood and early adolescence: the stimulation, discrepancy, and deprivation model of psychosis. | Vargas T et al. | — | 2022 | → |
| Disparities in sleep duration among American children: effects of race and ethnicity, income, age, and sex. | Giddens NT et al. | — | 2022 | → |
| Editors' Best of 2021. | Novins DK et al. | — | 2022 | → |
| Effects of the physical and social environment on youth cognitive performance. | Meredith WJ et al. | — | 2022 | → |
| Elucidating the relationship between migraine risk and brain structure using genetic data. | Mitchell BL et al. | — | 2022 | → |
| Enhancing neuroimaging genetics through meta-analysis for Tourette syndrome (ENIGMA-TS): A worldwide platform for collaboration. | Paschou P et al. | — | 2022 | → |
| ENIGMA-anxiety working group: Rationale for and organization of large-scale neuroimaging studies of anxiety disorders. | Bas-Hoogendam JM et al. | — | 2022 | → |
| Fast Image-Level MRI Harmonization via Spectrum Analysis. | Guan H et al. | — | 2022 | → |
| Functional brain network community structure in childhood: Unfinished territories and fuzzy boundaries. | Tooley UA et al. | — | 2022 | → |
| Genetic and environmental influences on executive functions and intelligence in middle childhood. | Freis SM et al. | — | 2022 | → |
| Genetic risk of AUDs and childhood impulsivity: Examining the role of parenting and family environment. | Su J et al. | — | 2022 | → |
| Genetic versus environmental influences on callous-unemotional traits in preadolescence: The role of parenting and parental psychopathology. | Perlstein S et al. | — | 2022 | → |
| Goal-specific brain MRI harmonization. | An L et al. | — | 2022 | → |
| Gray-Matter Morphometry of Internalizing-Symptom Dimensions During Adolescence. | Smolker HR et al. | — | 2022 | → |
| Hazardous drinking and alcohol use disorders. | MacKillop J et al. | — | 2022 | → |
| Hyperbolic discounting rates and risk for problematic alcohol use in youth enrolled in the Adolescent Brain and Cognitive Development study. | Kohler RJ et al. | — | 2022 | → |
| Introducing an adolescent cognitive maturity index. | El Damaty S et al. | — | 2022 | → |
| Limits to the generalizability of resting-state functional magnetic resonance imaging studies of youth: An examination of ABCD Study® baseline data. | Cosgrove KT et al. | — | 2022 | → |
| Longitudinal Assessments of Neurocognitive Performance and Brain Structure Associated With Initiation of Tobacco Use in Children, 2016 to 2021. | Dai HD et al. | — | 2022 | → |
| Longitudinal associations between social media use, mental well-being and structural brain development across adolescence. | Achterberg M et al. | — | 2022 | → |
| Mapping Complex Brain Torque Components and Their Genetic Architecture and Phenomic Associations in 24,112 Individuals. | Zhao L et al. | — | 2022 | → |
| Mediating effect of pubertal stages on the family environment and neurodevelopment: An open-data replication and multiverse analysis of an ABCD Study<sup>®</sup>. | Demidenko MI et al. | — | 2022 | → |
| Multi-tract multi-symptom relationships in pediatric concussion. | Guberman GI et al. | — | 2022 | → |
| Multivariate, Transgenerational Associations of the COVID-19 Pandemic Across Minoritized and Marginalized Communities. | Yip SW et al. | — | 2022 | → |
| Neural substrates of substance use disorders. | Paulus MP | — | 2022 | → |
| Nucleus Accumbens Response to Reward among Children with a Family History of Alcohol Use Problems: Convergent Findings from the ABCD Study<sup>®</sup> and Michigan Longitudinal Study. | Martz ME et al. | — | 2022 | → |
| Prediction of fluid intelligence from T1-w MRI images: A precise two-step deep learning framework. | Li M et al. | — | 2022 | → |
| Prediction of the trajectories of depressive symptoms among children in the adolescent brain cognitive development (ABCD) study using machine learning approach. | Xiang Q et al. | — | 2022 | → |
| Psychiatric comorbidity associated with weight status in 9 to 10 year old children. | Smith KE et al. | — | 2022 | → |
| Psychiatric comorbidity of eating disorders in children between the ages of 9 and 10. | Convertino AD et al. | — | 2022 | → |
| Reliability and stability challenges in ABCD task fMRI data. | Kennedy JT et al. | — | 2022 | → |
| Reported autism diagnosis is associated with psychotic-like symptoms in the Adolescent Brain Cognitive Development cohort. | Jutla A et al. | — | 2022 | → |
| Reproducible brain-wide association studies require thousands of individuals. | Marek S et al. | — | 2022 | → |
| Reward Processing in Children With Psychotic-Like Experiences. | Harju-Seppänen J et al. | — | 2022 | → |
| Risk Reduction Strategies for Adolescent Cannabis Use Considering COVID-19 Stressors. | Mayfield BL et al. | — | 2022 | → |
| School Climate, Cortical Structure, and Socioemotional Functioning: Associations across Family Income Levels. | Hackman DA et al. | — | 2022 | → |
| Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study. | Chen J et al. | — | 2022 | → |
| Shared genetic architecture between schizophrenia and subcortical brain volumes implicates early neurodevelopmental processes and brain development in childhood. | Cheng W et al. | — | 2022 | → |
| Shared Genetic Etiology between Cortical Brain Morphology and Tobacco, Alcohol, and Cannabis Use. | Rabinowitz JA et al. | — | 2022 | → |
| Socioeconomic disadvantage and episodic memory ability in the ABCD sample: Contributions of hippocampal subregion and subfield volumes. | Botdorf M et al. | — | 2022 | → |
| Socioeconomic resources are associated with distributed alterations of the brain's intrinsic functional architecture in youth. | Sripada C et al. | — | 2022 | → |
| Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondence. | Weinstein SM et al. | — | 2022 | → |
| Substance use patterns in 9 to 13-year-olds: Longitudinal findings from the Adolescent Brain Cognitive Development (ABCD) study. | Sullivan RM et al. | — | 2022 | → |
| Task-based co-activation patterns reliably predict resting state canonical network engagement during development. | Ye F et al. | — | 2022 | → |
| The CannTeen Study: Cannabis use disorder, depression, anxiety, and psychotic-like symptoms in adolescent and adult cannabis users and age-matched controls. | Lawn W et al. | — | 2022 | → |
| The Emotional Word-Emotional Face Stroop task in the ABCD study: Psychometric validation and associations with measures of cognition and psychopathology. | Smolker HR et al. | — | 2022 | → |
| The impact of digital media on children's intelligence while controlling for genetic differences in cognition and socioeconomic background. | Sauce B et al. | — | 2022 | → |
| The Musical Abilities, Pleiotropy, Language, and Environment (MAPLE) Framework for Understanding Musicality-Language Links Across the Lifespan. | Nayak S et al. | — | 2022 | → |
| The role of prefrontal cortex in cognitive control and executive function. | Friedman NP et al. | — | 2022 | → |
| Unconsidered issues of measurement noninvariance in biological psychiatry: A focus on biological phenotypes of psychopathology. | Moriarity DP et al. | — | 2022 | → |
| Using causal methods to map symptoms to brain circuits in neurodevelopment disorders: moving from identifying correlates to developing treatments. | Cohen AL | — | 2022 | → |
| Using large, publicly available data sets to study adolescent development: opportunities and challenges. | Kievit RA et al. | — | 2022 | → |
| Validating a brief screening measure for early-onset substance use during adolescence in a diverse, nationwide birth cohort. | Pelham WE et al. | — | 2022 | → |
| Working memory and reaction time variability mediate the relationship between polygenic risk and ADHD traits in a general population sample. | Moses M et al. | — | 2022 | → |
| A Biased Perspective on Brain Imaging of ADHD. | Castellanos FX | — | 2021 | → |
| Altered hippocampal microstructure and function in children who experienced Hurricane Irma. | Conley MI et al. | — | 2021 | → |
| Amygdalar Activation as a Neurobiological Marker of Differential Sensitivity in the Effects of Family Rearing Experiences on Socioemotional Adjustment in Youths. | Liu S et al. | — | 2021 | → |
| Association between Hippocampal Volume and Working Memory in 10,000+ 9-10-Year-Old Children: Sex Differences. | Assari S et al. | — | 2021 | → |
| Association of gray matter volumes with general and specific dimensions of psychopathology in children. | Durham EL et al. | — | 2021 | → |
| Association of Local Variation in Neighborhood Disadvantage in Metropolitan Areas With Youth Neurocognition and Brain Structure. | Hackman DA et al. | — | 2021 | → |
| Association of Outdoor Ambient Fine Particulate Matter With Intracellular White Matter Microstructural Properties Among Children. | Burnor E et al. | — | 2021 | → |
| Associations between frontal lobe structure, parent-reported obstructive sleep disordered breathing and childhood behavior in the ABCD dataset. | Isaiah A et al. | — | 2021 | → |
| Associations Between Prenatal Cannabis Exposure and Childhood Outcomes: Results From the ABCD Study. | Paul SE et al. | — | 2021 | → |
| Brain-wide functional connectivity patterns support general cognitive ability and mediate effects of socioeconomic status in youth. | Sripada C et al. | — | 2021 | → |
| Bridging the Brain and Data Sciences. | Van Horn JD | — | 2021 | → |
| Challenges and opportunities for neuroimaging in young patients with traumatic brain injury: a coordinated effort towards advancing discovery from the ENIGMA pediatric moderate/severe TBI group. | Dennis EL et al. | — | 2021 | → |
| Chronic alcohol exposure during critical developmental periods differentially impacts persistence of deficits in cognitive flexibility and related circuitry. | Dannenhoffer CA et al. | — | 2021 | → |
| Cortical and subcortical brain structure in generalized anxiety disorder: findings from 28 research sites in the ENIGMA-Anxiety Working Group. | Harrewijn A et al. | — | 2021 | → |
| Cortical Thickness in bilingual and monolingual children: Relationships to language use and language skill. | Vaughn KA et al. | — | 2021 | → |
| Counterpoint. Early intervention for psychosis risk syndromes: Minimizing risk and maximizing benefit. | Woods SW et al. | — | 2021 | → |
| Early Adversity and Development: Parsing Heterogeneity and Identifying Pathways of Risk and Resilience. | Gee DG | — | 2021 | → |
| EEG/ERP as a pragmatic method to expand the reach of infant-toddler neuroimaging in HBCD: Promises and challenges. | Norton ES et al. | — | 2021 | → |
| Environmental influences on the pace of brain development. | Tooley UA et al. | — | 2021 | → |
| Heterogeneity Within Youth With Childhood-Onset Conduct Disorder in the ABCD Study. | Brislin SJ et al. | — | 2021 | → |
| Hippocampal-Prefrontal Connectivity Prior to the COVID-19 Pandemic Predicts Stress Reactivity. | Perica MI et al. | — | 2021 | → |
| Internalizing-externalizing comorbidity and regional brain volumes in the ABCD study. | Schettini E et al. | — | 2021 | → |
| Leveraging big data to map neurodevelopmental trajectories in pediatric anxiety. | Zacharek SJ et al. | — | 2021 | → |
| Longitudinal Impact of Childhood Adversity on Early Adolescent Mental Health During the COVID-19 Pandemic in the ABCD Study Cohort: Does Race or Ethnicity Moderate Findings? | Stinson EA et al. | — | 2021 | → |
| Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth. | Luna A et al. | — | 2021 | → |
| Meaningful associations in the adolescent brain cognitive development study. | Dick AS et al. | — | 2021 | → |
| Morphological integration of the human brain across adolescence and adulthood. | Nadig A et al. | — | 2021 | → |
| Morphometrical Brain Markers of Sex Difference. | Brennan D et al. | — | 2021 | → |
| Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan. | He S et al. | — | 2021 | → |
| Multimodal brain predictors of current weight and weight gain in children enrolled in the ABCD study ®. | Adise S et al. | — | 2021 | → |
| Neurodevelopmental Effects of Cannabis Use in Adolescents and Emerging Adults with ADHD: A Systematic Review. | Cawkwell PB et al. | — | 2021 | → |
| Neuroimaging brain growth charts: A road to mental health. | Chen LZ et al. | — | 2021 | → |
| Obsessive-Compulsive Symptoms Among Children in the Adolescent Brain and Cognitive Development Study: Clinical, Cognitive, and Brain Connectivity Correlates. | Pagliaccio D et al. | — | 2021 | → |
| Polygenic risk scores for alcohol involvement relate to brain structure in substance-naïve children: Results from the ABCD study. | Hatoum AS et al. | — | 2021 | → |
| Polysubstance use in the U.S. opioid crisis. | Compton WM et al. | — | 2021 | → |
| Prediction of suicidal ideation and attempt in 9 and 10 year-old children using transdiagnostic risk features. | Harman G et al. | — | 2021 | → |
| Preliminary analysis of low-level alcohol use and suicidality with children in the adolescent brain and cognitive development (ABCD) baseline cohort. | Aguinaldo LD et al. | — | 2021 | → |
| Prevalence and correlates of suicidal ideation and suicide attempts in preadolescent children: A US population-based study. | Lawrence HR et al. | — | 2021 | → |
| Promising vulnerability markers of substance use and misuse: A review of human neurobehavioral studies. | Lees B et al. | — | 2021 | → |
| Protocol of the Healthy Brain Study: An accessible resource for understanding the human brain and how it dynamically and individually operates in its bio-social context. | Healthy Brain Study consortium et al. | — | 2021 | → |
| Quadratic relations of BMI with depression and brain volume in children: Analysis of data from the ABCD study. | Bohon C et al. | — | 2021 | → |
| Race, Socioeconomic Status, and Cerebellum Cortex Fractional Anisotropy in Pre-Adolescents. | Assari S et al. | — | 2021 | → |
| Racial Disparities in Elementary School Disciplinary Actions: Findings From the ABCD Study. | Fadus MC et al. | — | 2021 | → |
| Rates of Incidental Findings in Brain Magnetic Resonance Imaging in Children. | Li Y et al. | — | 2021 | → |
| Resting-state functional connectivity of the human hippocampus in periadolescent children: Associations with age and memory performance. | Warren DE et al. | — | 2021 | → |
| Risk factors associated with curiosity about alcohol use in the ABCD cohort. | Wade NE et al. | — | 2021 | → |
| Risk factors for alcohol, marijuana, and cigarette polysubstance use during adolescence and young adulthood: A 7-year longitudinal study of youth at high risk for smoking escalation. | Crane NA et al. | — | 2021 | → |
| Sex/gender differences in brain function and structure in alcohol use: A narrative review of neuroimaging findings over the last 10 years. | Verplaetse TL et al. | — | 2021 | → |
| Strengths and challenges of longitudinal non-human primate neuroimaging. | Song X et al. | — | 2021 | → |
| Substance use patterns in 9-10 year olds: Baseline findings from the adolescent brain cognitive development (ABCD) study. | Lisdahl KM et al. | — | 2021 | → |
| The ABCD study: understanding the development of risk for mental and physical health outcomes. | Karcher NR et al. | — | 2021 | → |
| The association between latent trauma and brain structure in children. | Jeong HJ et al. | — | 2021 | → |
| The future of translational research on alcohol use disorder. | Ray LA et al. | — | 2021 | → |
| The General Factor of Psychopathology in the Adolescent Brain Cognitive Development (ABCD) Study: A Comparison of Alternative Modeling Approaches. | Clark DA et al. | — | 2021 | → |
| The Human Connectome Project: A retrospective. | Elam JS et al. | — | 2021 | → |
| The Influence of Cannabis and Nicotine Co-use on Neuromaturation: A Systematic Review of Adolescent and Young Adult Studies. | Hernandez Mejia M et al. | — | 2021 | → |
| The Neurophysiology of Caffeine as a Central Nervous System Stimulant and the Resultant Effects on Cognitive Function. | Fiani B et al. | — | 2021 | → |
| The Role of the Family in Alcohol Use Disorder Recovery for Adults. | McCrady BS et al. | — | 2021 | → |
| Three Important Considerations for Studies Examining Pathophysiological Pathways in Psychiatric Illness: In-depth Phenotyping, Biological Assessment, and Causal Inferences. | Phillips ML et al. | — | 2021 | → |
| Tuber Locations Associated with Infantile Spasms Map to a Common Brain Network. | Cohen AL et al. | — | 2021 | → |
| We Know Even More Things: A Decade Review of Parenting Research. | Morris AS et al. | — | 2021 | → |
| Widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds. | Sripada C et al. | — | 2021 | → |
| Advancing Transparency and Openness in Child Development Research: Opportunities. | Gennetian LA et al. | — | 2020 | → |
| Age-related differences in affective control and its association with mental health difficulties. | Schweizer S et al. | — | 2020 | → |
| A Hierarchical Watershed Model of Fluid Intelligence in Childhood and Adolescence. | Fuhrmann D et al. | — | 2020 | → |
| A Model-Based Strategy for Interfacing Traits of the <i>DSM-5</i> AMPD With Neurobiology. | Bowyer CB et al. | — | 2020 | → |
| Analysing brain networks in population neuroscience: a case for the Bayesian philosophy. | Bzdok D et al. | — | 2020 | → |
| An Examination of Child and Adolescent Neurodevelopment Through National Institutes of Health Studies. | Volkow ND et al. | — | 2020 | → |
| Assessing callous-unemotional traits: development of a brief, reliable measure in a large and diverse sample of preadolescent youth. | Hawes SW et al. | — | 2020 | → |
| Assessing the Mental Health of Brazilian Students Involved in Risky Behaviors. | Escobar DFSS et al. | — | 2020 | → |
| Bagging improves reproducibility of functional parcellation of the human brain. | Nikolaidis A et al. | — | 2020 | → |
| Behavioral and Neural Signatures of Working Memory in Childhood. | Rosenberg MD et al. | — | 2020 | → |
| Behavioral processes and risk for problem substance use in adolescents. | Acheson A | — | 2020 | → |
| Brain function and clinical characterization in the Boston adolescent neuroimaging of depression and anxiety study. | Hubbard NA et al. | — | 2020 | → |
| Brain Volume Abnormalities in Youth at High Risk for Depression: Adolescent Brain and Cognitive Development Study. | Pagliaccio D et al. | — | 2020 | → |
| Caffeine intake and cognitive functions in children. | Zhang H et al. | — | 2020 | → |
| Convergent Evidence for Predispositional Effects of Brain Gray Matter Volume on Alcohol Consumption. | Baranger DAA et al. | — | 2020 | → |
| Correction of respiratory artifacts in MRI head motion estimates. | Fair DA et al. | — | 2020 | → |
| Criterion validity and relationships between alternative hierarchical dimensional models of general and specific psychopathology. | Moore TM et al. | — | 2020 | → |
| Denoising scanner effects from multimodal MRI data using linked independent component analysis. | Li H et al. | — | 2020 | → |
| Disentangling vulnerability, state and trait features of neurocognitive impairments in depression. | Ang YS et al. | — | 2020 | → |
| Disruptive Behavior Problems, Callous-Unemotional Traits, and Regional Gray Matter Volume in the Adolescent Brain and Cognitive Development Study. | Waller R et al. | — | 2020 | → |
| Distance-based analysis of variance for brain connectivity. | Shinohara RT et al. | — | 2020 | → |
| Driven by Pain, Not Gain: Computational Approaches to Aversion-Related Decision Making in Psychiatry. | Paulus MP | — | 2020 | → |
| Effect of alcohol use on the adolescent brain and behavior. | Lees B et al. | — | 2020 | → |
| Exploring the complex inter-relations between internalising symptoms, executive functioning and alcohol use in young adults. | Lees B et al. | — | 2020 | → |
| Fine particulate matter exposure during childhood relates to hemispheric-specific differences in brain structure. | Cserbik D et al. | — | 2020 | → |
| Frontostriatal Brain Activation Is Associated With the Longitudinal Progression of Cardiometabolic Risk. | Allen B et al. | — | 2020 | → |
| Functional Connectivity Fingerprints at Rest Are Similar across Youths and Adults and Vary with Genetic Similarity. | Demeter DV et al. | — | 2020 | → |
| How Much Is Too Much? Examining the Relationship Between Digital Screen Engagement and Psychosocial Functioning in a Confirmatory Cohort Study. | Przybylski AK et al. | — | 2020 | → |
| Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study. | Siless V et al. | — | 2020 | → |
| Importance of a standard unit dose for cannabis research. | Volkow ND et al. | — | 2020 | → |
| Manifesto for new directions in developmental science. | Barbot B et al. | — | 2020 | → |
| Meta-analysis and review of functional neuroimaging differences underlying adolescent vulnerability to substance use. | Tervo-Clemmens B et al. | — | 2020 | → |
| MRI-based biomarkers of accelerated aging and dementia risk in midlife: how close are we? | Elliott ML | — | 2020 | → |
| Neighborhood deprivation, prefrontal morphology and neurocognition in late childhood to early adolescence. | Vargas T et al. | — | 2020 | → |
| Neurocognitive reorganization between crystallized intelligence, fluid intelligence and white matter microstructure in two age-heterogeneous developmental cohorts. | Simpson-Kent IL et al. | — | 2020 | → |
| Neuropsychological Trajectories Associated with Adolescent Alcohol and Cannabis Use: A Prospective 14-Year Study. | Infante MA et al. | — | 2020 | → |
| News Feature: Cannabis and the adolescent brain. | Shen H | — | 2020 | → |
| Parental Family History of Alcohol Use Disorder and Neural Correlates of Response Inhibition in Children From the Adolescent Brain Cognitive Development (ABCD) Study. | Lees B et al. | — | 2020 | → |
| Prevalence and correlates of concussion in children: Data from the Adolescent Brain Cognitive Development study. | Dufour SC et al. | — | 2020 | → |
| Prevalence and Family-Related Factors Associated With Suicidal Ideation, Suicide Attempts, and Self-injury in Children Aged 9 to 10 Years. | DeVille DC et al. | — | 2020 | → |
| Principles for Guiding the Selection of Early Childhood Neurodevelopmental Risk and Resilience Measures: HEALthy Brain and Child Development Study as an Exemplar. | Morris AS et al. | — | 2020 | → |
| Psychosis Risk and Development: What Do We Know From Population-Based Studies? | Mennigen E et al. | — | 2020 | → |
| Race, Socioeconomic Status, and Sex Hormones among Male and Female American Adolescents. | Assari S et al. | — | 2020 | → |
| Recent Efforts to Dissect the Genetic Basis of Alcohol Use and Abuse. | Sanchez-Roige S et al. | — | 2020 | → |
| Research Review: Brain network connectivity and the heterogeneity of depression in adolescence - a precision mental health perspective. | Chahal R et al. | — | 2020 | → |
| Screen media use and sleep disturbance symptom severity in children. | Hisler GC et al. | — | 2020 | → |
| The associations of comorbid substance use disorders and psychiatric conditions with adolescent brain structure and function: A review. | Kroll DS et al. | — | 2020 | → |
| The importance of social factors in the association between physical activity and depression in children. | Conley MI et al. | — | 2020 | → |
| Toward a Revised Nosology for Attention-Deficit/Hyperactivity Disorder Heterogeneity. | Nigg JT et al. | — | 2020 | → |
| Towards an integrated account of the development of self-regulation from a neurocognitive perspective: A framework for current and future longitudinal multi-modal investigations. | Vink M et al. | — | 2020 | → |
| Translating insights from neuropsychiatric genetics and genomics for precision psychiatry. | Rees E et al. | — | 2020 | → |
| Update on the Neuropsychiatry of Substance Use Disorders. | Kolodner G et al. | — | 2020 | → |
| Youth working in tobacco farming: effects on smoking behavior and association with health status. | Alderete E et al. | — | 2020 | → |
| Aberrant structural-functional coupling in adult cannabis users. | Kim DJ et al. | — | 2019 | → |
| An ethical perspective on the use of secure care for youth with severe substance use. | Clark BA et al. | — | 2019 | → |
| Association of Polygenic Liability for Alcohol Dependence and EEG Connectivity in Adolescence and Young Adulthood. | Meyers JL et al. | — | 2019 | → |
| Brain-behaviour modes of covariation in healthy and clinically depressed young people. | Mihalik A et al. | — | 2019 | → |
| Cognitive functions associated with developing prefrontal cortex during adolescence and developmental neuropsychiatric disorders. | Sakurai T et al. | — | 2019 | → |
| Compulsive drug use is associated with imbalance of orbitofrontal- and prelimbic-striatal circuits in punishment-resistant individuals. | Hu Y et al. | — | 2019 | → |
| Conceptualizing mental disorders as deviations from normative functioning. | Marquand AF et al. | — | 2019 | → |
| Early-life adversity and neurological disease: age-old questions and novel answers. | Short AK et al. | — | 2019 | → |
| Ensuring the Best Use of Data: The Adolescent Brain Cognitive Development Study. | Compton WM et al. | — | 2019 | → |
| Experience during adolescence shapes brain development: From synapses and networks to normal and pathological behavior. | Dow-Edwards D et al. | — | 2019 | → |
| Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College Students. | Huckins JF et al. | — | 2019 | → |
| Identifying reproducible individual differences in childhood functional brain networks: An ABCD study. | Marek S et al. | — | 2019 | → |
| Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. | Hagler DJ et al. | — | 2019 | → |
| Incorporating neurophysiological measures into clinical assessments: Fundamental challenges and a strategy for addressing them. | Patrick CJ et al. | — | 2019 | → |
| Key milestones during 40 years of behavioral medicine at the National Institutes of Health. | Czajkowski SM et al. | — | 2019 | → |
| Longitudinally consistent estimates of intrinsic functional networks. | Zhao Q et al. | — | 2019 | → |
| Measures of possible allostatic load in comorbid cocaine and alcohol use disorder: Brain white matter integrity, telomere length, and anti-saccade performance. | Tannous J et al. | — | 2019 | → |
| Mutualistic Coupling Between Vocabulary and Reasoning in Young Children: A Replication and Extension of the Study by Kievit et al. (2017). | Kievit RA et al. | — | 2019 | → |
| Neurobiological and Cognitive Profile of Young Binge Drinkers: a Systematic Review and Meta-Analysis. | Lees B et al. | — | 2019 | → |
| Parental influences on neural mechanisms underlying emotion regulation. | Kerr KL et al. | — | 2019 | → |
| Prevalence of Eating Disorders Among US Children Aged 9 to 10 Years: Data From the Adolescent Brain Cognitive Development (ABCD) Study. | Rozzell K et al. | — | 2019 | → |
| Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study. | Paulus MP et al. | — | 2019 | → |
| Sertraline Effects on Striatal Resting-State Functional Connectivity in Youth With Obsessive-Compulsive Disorder: A Pilot Study. | Bernstein GA et al. | — | 2019 | → |
| Sexual minority children: Mood disorders and suicidality disparities. | Blashill AJ et al. | — | 2019 | → |
| Should Smartphone Use Be Banned for Children? | Wiederhold BK | — | 2019 | → |
| Somatosensory-Motor Dysconnectivity Spans Multiple Transdiagnostic Dimensions of Psychopathology. | Kebets V et al. | — | 2019 | → |
| Stress exposures, neurodevelopment and health measures in the ABCD study. | Hoffman EA et al. | — | 2019 | → |
| The cellular basis of fetal endoplasmic reticulum stress and oxidative stress in drug-induced neurodevelopmental deficits. | Tsai SA et al. | — | 2019 | → |
| The development of brain network hubs. | Oldham S et al. | — | 2019 | → |
| The Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes. | Feczko E et al. | — | 2019 | → |
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