A description of the ABCD organizational structure and communication framework

Auchter, Allison; Mejia, Margie Hernandez; Heyser, Charles J.; Shilling, Paul D.; Jernigan, Terry L.; Brown, Sandra A.; Tapert, Susan F.; Dowling, Gayathri J.

doi:10.1016/j.dcn.2018.04.003

Cited by 189 publications

(169 citation statements)

References 9 publications

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“…To address the causes of excessive adolescent drinking, the National Institutes of Health has funded longitudinal research in youth to track which factors may predispose adolescents to binge drink. The National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) (Brown et al., ) and the Adolescent Brain Cognitive Development study (ABCD) (Auchter et al., ) are 2 large, multisite projects that aim to pinpoint environmental, social, and other factors that lead to drinking and drug use in adolescents. However, factors that predict alcohol use in humans can confound determination of the consequences of binge drinking, another major aspect of the public health issue and a question that can be systematically examined by modeling binge exposure in rodents that controls alcohol exposure across development.…”

mentioning

confidence: 99%

Mechanisms of Persistent Neurobiological Changes Following Adolescent Alcohol Exposure: NADIA Consortium Findings

Crews

Robinson

Chandler³

et al. 2019

Alcoholism Clin & Exp Res

127

153

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The Neurobiology of Adolescent Drinking in Adulthood (NADIA) Consortium has focused on the impact of adolescent binge drinking on brain development, particularly on effects that persist into adulthood. Adolescent binge drinking is common, and while many factors contribute to human brain development and alcohol use during adolescence, animal models are critical for understanding the specific consequences of alcohol exposure during this developmental period and the underlying mechanisms. Using adolescent intermittent ethanol (AIE) exposure models, NADIA investigators identified long‐lasting AIE‐induced changes in adult behavior that are consistent with observations in humans, such as increased alcohol drinking, increased anxiety (particularly social anxiety), increased impulsivity, reduced behavioral flexibility, impaired memory, disrupted sleep, and altered responses to alcohol. These behavioral changes are associated with multiple molecular, cellular, and physiological alterations in the brain that persist long after AIE exposure. At the molecular level, AIE results in long‐lasting changes in neuroimmune/trophic factor balance and epigenetic–microRNA (miRNA) signaling across glia and neurons. At the cellular level, AIE history is associated in adulthood with reduced expression of cholinergic, serotonergic, and dopaminergic neuron markers, attenuated cortical thickness, decreased neurogenesis, and altered dendritic spine and glial morphology. This constellation of molecular and cellular adaptations to AIE likely contributes to observed alterations in neurophysiology, measured by synaptic physiology, EEG patterns, and functional connectivity. Many of these AIE‐induced brain changes replicate findings seen in postmortem brains of humans with alcohol use disorder (AUD). NADIA researchers are now elucidating mechanisms of these adaptations. Emerging data demonstrate that exercise, antiinflammatory drugs, anticholinesterases, histone deacetylase inhibitors, and other pharmacological compounds are able to prevent (administered during AIE) and/or reverse (given after AIE) AIE‐induced pathology in adulthood. These studies support hypotheses that adolescent binge drinking increases risk of adult hazardous drinking and influences brain development, and may provide insight into novel therapeutic targets for AIE‐induced neuropathology and AUDs.

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mentioning

confidence: 99%

Mechanisms of Persistent Neurobiological Changes Following Adolescent Alcohol Exposure: NADIA Consortium Findings

Crews

Robinson

Chandler³

et al. 2019

Alcoholism Clin & Exp Res

127

153

View full text Add to dashboard Cite

show abstract

“…ABCD, a landmark study of brain development from childhood to emerging adults, is unique in the United States. Although details of the ABCD methods, measures, design, sample, and sampling are described elsewhere [ 45 , 50 ], we briefly review them.…”

Section: Methodsmentioning

confidence: 99%

“…All participating children provided assent. All participating parents signed informed consent [ 50 ]. As we only performed a secondary analysis of fully de-identified data, our study was non-human subject research.…”

Section: Methodsmentioning

confidence: 99%

Nucleus Accumbens Functional Connectivity with the Frontoparietal Network Predicts Subsequent Change in Body Mass Index for American Children

2020

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“…ABCD recruits approximately 10, 000 9-10 years old children. Longitudinal measures of the brain structure and function as well as rich behavior measures and genetic factors are collected across 21 sites in the United States [Auchter et al, 2018]. Imaging Data and Preprocessing: The ABCD imaging protocol is harmonized for three types of 3T scanners: Siemens Prisma, General Electric (GE) 750 and Philips.…”

Section: Abcd Data Preprocessingmentioning

confidence: 99%

Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized Cognition

Wang

Lin

Cole

et al. 2020

Preprint

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Structural brain networks constructed from diffusion MRI are important biomarkers for understanding human brain structure and its relation to cognitive functioning. There is increasing interest in learning differences in structural brain networks between groups of subjects in neuroimaging studies, leading to a variable selection problem in network classification. Traditional methods often use independent edgewise tests or unstructured generalized linear model (GLM) with regularization on vectorized networks to select edges distinguishing the groups, which ignore the network structure and make the results hard to interpret. In this paper, we develop a symmetric bilinear logistic regression (SBLR) with elastic-net penalty to identify a set of small clique subgraphs in network classification. Clique subgraphs, consisting of all the interconnections among a subset of brain regions, have appealing neurological interpretations as they may correspond to some anatomical circuits in the brain related to the outcome. We apply this method to study differences in the structural connectome between adolescents with high and low crystallized cognitive ability, using the crystallized cognition composite score, picture vocabulary and oral reading recognition tests from NIH Toolbox. A few clique subgraphs containing several small sets of brain regions are identified between different levels of functioning, indicating their importance in crystallized cognition.

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A description of the ABCD organizational structure and communication framework

Cited by 189 publications

References 9 publications

Mechanisms of Persistent Neurobiological Changes Following Adolescent Alcohol Exposure: NADIA Consortium Findings

Mechanisms of Persistent Neurobiological Changes Following Adolescent Alcohol Exposure: NADIA Consortium Findings

Nucleus Accumbens Functional Connectivity with the Frontoparietal Network Predicts Subsequent Change in Body Mass Index for American Children

Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized Cognition

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