A practical guide for researchers and reviewers using the ABCD Study and other large longitudinal datasets

Developmental Cognitive Neuroscience, Journal Year: 2022, Volume and Issue: 55, P. 101115 - 101115

Published: May 20, 2022

As the largest longitudinal study of adolescent brain development and behavior to date, Adolescent Brain Cognitive Development (ABCD) Study® has provided immense opportunities for researchers across disciplines since its first data release in 2018. The size scope also present a number hurdles, which range from becoming familiar with design structure employing rigorous reproducible analyses. current paper is intended as guide reviewers working ABCD data, highlighting features (and strengths limitations therein) well relevant analytical methodological considerations. Additionally, we explore justice, equity, diversity, inclusion efforts they pertain Study other large-scale datasets. In doing so, hope increase both accessibility transparency within field developmental cognitive neuroscience.

Language: Английский

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The effects of early life adversity on children’s mental health and cognitive functioning

Translational Psychiatry, Journal Year: 2022, Volume and Issue: 12(1)

Published: June 10, 2022

Emerging evidence suggests that partially distinct mechanisms may underlie the association between different dimensions of early life adversity (ELA) and psychopathology in children adolescents. While there is minimal types ELA are associated with specific outcomes, unique cognitive socioemotional consequences increase transdiagnostic risk mental health problems across internalizing externalizing spectra. The current review provides an overview recent findings examining (e.g., language, executive function), attention bias, emotion regulation), correlates along threat/harshness, deprivation, unpredictability. We underscore similarities differences connecting to particular identify gaps future directions help clarify inconsistencies literature. This focuses on childhood adolescence, periods exquisite neurobiological change sensitivity environment. utility dimensional models better understanding mechanistic pathways towards expression discussed, supporting value such developmental sequelae ELA. Integration existing focused psychiatric classification biobehavioral advance our etiology, phenomenology, treatment difficulties youth.

Language: Английский

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Reliability and stability challenges in ABCD task fMRI data

NeuroImage, Journal Year: 2022, Volume and Issue: 252, P. 119046 - 119046

Published: March 1, 2022

Trait stability of measures is an essential requirement for individual differences research. Functional MRI has been increasingly used in studies that rely on the assumption trait stability, such as attempts to relate task related brain activation behavior and psychopathology. However, recent research using adult samples questioned task-fMRI measures, assessed by test-retest correlations. To date, little known about fMRI children. Here, we examined within-session reliability long-term provided adolescent cognitive development (ABCD) Study Release v4.0 individual's average regional activity, its tasks focused reward processing, response inhibition, working memory. We also evaluated effects factors potentially affecting stability. Reliability (quantified ratio non-scanner stable variance all variances) was poor virtually regions, with value 0.088 0.072 short term (within-session) (between-session) respectively, regions interest (ROIs) historically-recruited tasks. Only one or ROIs exceeded 'poor' cut-off 0.4, fact rarely 0.2 (only 4.9%). Motion had a pronounced effect estimated reliability/stability, lowest motion quartile participants having mean reliability/stability 2.5 times higher (albeit still 'poor') than highest quartile. Poor task-fMRI, particularly children, diminishes potential utility data due drastic reduction sizes and, consequently, statistical power detection brain-behavior associations. This issue urgently needs be addressed through optimization design, scanning parameters, acquisition protocols, preprocessing pipelines, denoising methods.

Language: Английский

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A shared neural basis underlying psychiatric comorbidity

Nature Medicine, Journal Year: 2023, Volume and Issue: 29(5), P. 1232 - 1242

Published: April 24, 2023

Abstract Recent studies proposed a general psychopathology factor underlying common comorbidities among psychiatric disorders. However, its neurobiological mechanisms and generalizability remain elusive. In this study, we used large longitudinal neuroimaging cohort from adolescence to young adulthood (IMAGEN) define neuropsychopathological (NP) across externalizing internalizing symptoms using multitask connectomes. We demonstrate that NP might represent unified, genetically determined, delayed development of the prefrontal cortex further leads poor executive function. also show be reproducible in multiple developmental periods, preadolescence early adulthood, generalizable resting-state connectome clinical samples (the ADHD-200 Sample STRATIFY & ESTRA Project). conclusion, identify neural basis mental health disorders, bridging multidimensional evidence behavioral, genetic substrates. These findings may help develop new therapeutic interventions for comorbidities.

Language: Английский

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Recommendations for the responsible use and communication of race and ethnicity in neuroimaging research

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(4), P. 615 - 628

Published: March 22, 2024

Language: Английский

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Development of white matter microstructure and executive functions during childhood and adolescence: a review of diffusion MRI studies

Developmental Cognitive Neuroscience, Journal Year: 2021, Volume and Issue: 51, P. 101008 - 101008

Published: Aug. 25, 2021

Diffusion magnetic resonance imaging (dMRI) provides indirect measures of white matter microstructure that can be used to make inferences about structural connectivity within the brain. Over last decade, a growing literature cross-sectional and longitudinal studies have documented relationships between dMRI indices cognitive development. In this review, we provide brief overview methods how they study review extant examining links executive functions during We explore specific functions: inhibition, working memory shifting, as well performance on complex function tasks. Concordance in findings across are highlighted, potential explanations for discrepancies results, together with challenges using child adolescent populations, discussed. Finally, future directions necessary better understand development brain functions.

Language: Английский

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Structural brain measures among children with and without ADHD in the Adolescent Brain and Cognitive Development Study cohort: a cross-sectional US population-based study

The Lancet Psychiatry, Journal Year: 2022, Volume and Issue: 9(3), P. 222 - 231

Published: Feb. 7, 2022

Language: Английский

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Limits to the generalizability of resting-state functional magnetic resonance imaging studies of youth: An examination of ABCD Study® baseline data

Brain Imaging and Behavior, Journal Year: 2022, Volume and Issue: 16(4), P. 1919 - 1925

Published: May 12, 2022

Language: Английский

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Why weight? Analytic approaches for large-scale population neuroscience data

Developmental Cognitive Neuroscience, Journal Year: 2023, Volume and Issue: 59, P. 101196 - 101196

Published: Jan. 6, 2023

Population-based neuroimaging studies that feature complex sampling designs enable researchers to generalize their results more widely. However, several theoretical and analytical questions pose challenges interested in these data. The following is a resource for using population-based We provide an overview of describe the differences between traditional model-based analyses survey-oriented design-based analyses. To elucidate key concepts, we leverage data from Adolescent Brain Cognitive Development℠ Study (ABCD Study®), sample 11,878 9–10-year-olds United States. Analyses revealed modest sociodemographic discrepancies target population U.S. both recruited ABCD analytic with usable structural functional imaging In evaluating associations socioeconomic resources (i.e., constructs are tightly linked recruitment biases) metrics brain development, show approaches over-estimated household income under-estimated caregiver education total cortical volume surface area. Comparable were found models predicting neural function during two fMRI task paradigms. conclude recommendations Study® users cohorts broadly.

Language: Английский

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Leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples

Cerebral Cortex, Journal Year: 2024, Volume and Issue: 34(6)

Published: May 15, 2024

Neuroimaging is a popular method to map brain structural and functional patterns complex human traits. Recently published observations cast doubt upon these prospects, particularly for prediction of cognitive traits from resting state magnetic resonance imaging (MRI). We leverage baseline data thousands children in the Adolescent Brain Cognitive DevelopmentSM Study inform replication sample size required with univariate multivariate methods across different modalities detect reproducible brain-behavior associations. demonstrate that by applying high-dimensional data, we can capture lower dimensional architecture correlate robustly phenotypes are only 41 individuals working memory-related MRI, ~ 100 subjects MRI. Even random re-samplings discovery, be adequately powered 66 cognition memory task These results point an important role neuroimaging translational neurodevelopmental research showcase how findings large samples associations small sizes at heart many programs grants.

Language: Английский

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