The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites.

Published on Aug 1, 2018in Developmental Cognitive Neuroscience4.966
· DOI :10.1016/J.DCN.2018.03.001
B. J. Casey107
Estimated H-index: 107
(Yale University),
Tariq Cannonier1
Estimated H-index: 1
(Yale University)
+ 31 AuthorsAnders M. Dale166
Estimated H-index: 166
(UCSD: University of California, San Diego)
Sources
Abstract
Abstract The ABCD study is recruiting and following the brain development and health of over 10,000 9–10 year olds through adolescence. The imaging component of the study was developed by the ABCD Data Analysis and Informatics Center (DAIC) and the ABCD Imaging Acquisition Workgroup. Imaging methods and assessments were selected, optimized and harmonized across all 21 sites to measure brain structure and function relevant to adolescent development and addiction. This article provides an overview of the imaging procedures of the ABCD study, the basis for their selection and preliminary quality assurance and results that provide evidence for the feasibility and age-appropriateness of procedures and generalizability of findings to the existent literature.
📖 Papers frequently viewed together
114 Citations
47 Citations
59 Citations
References63
Newest
#1Monica D. Rosenberg (Yale University)H-Index: 25
#2B. J. Casey (Yale University)H-Index: 107
Last. Avram J. Holmes (Yale University)H-Index: 51
view all 3 authors...
A central aim of human neuroscience is understanding the neurobiology of cognition and behavior. Although we have made significant progress towards this goal, reliance on group-level studies of the developed adult brain has limited our ability to explain population variability and developmental changes in neural circuitry and behavior. In this review, we suggest that predictive modeling, a method for predicting individual differences in behavior from brain features, can complement descriptive ap...
67 CitationsSource
#1Nico U.F. Dosenbach (WashU: Washington University in St. Louis)H-Index: 36
#2Jonathan M. Koller (WashU: Washington University in St. Louis)H-Index: 20
Last. Damien A. Fair (OHSU: Oregon Health & Science University)H-Index: 63
view all 13 authors...
Abstract Head motion systematically distorts clinical and research MRI data. Motion artifacts have biased findings from many structural and functional brain MRI studies. An effective way to remove motion artifacts is to exclude MRI data frames affected by head motion. However, such post-hoc frame censoring can lead to data loss rates of 50% or more in our pediatric patient cohorts. Hence, many scanner operators collect additional ‘buffer data’, an expensive practice that, by itself, does not gua...
104 CitationsSource
#1Jeffrey M. Treiber (UCSD: University of California, San Diego)H-Index: 8
#2Nathan S. White (UCSD: University of California, San Diego)H-Index: 28
Last. Clark C. Chen (UCSD: University of California, San Diego)H-Index: 56
view all 10 authors...
Introduction Diffusion Weighted Imaging (DWI), which is based on Echo Planar Imaging (EPI) protocols, is becoming increasingly important for neurosurgical applications. However, its use in this context is limited in part by significant spatial distortion inherent to EPI. Method We evaluated an efficient algorithm for EPI distortion correction (EPIC) across 814 DWI scans from 250 brain tumor patients and quantified the magnitude of geometric distortion for whole brain and multiple brain regions. ...
52 CitationsSource
#1Alexandra O. Cohen (Cornell University)H-Index: 13
#2Kaitlyn Breiner (UCLA: University of California, Los Angeles)H-Index: 6
Last. B. J. Casey (Cornell University)H-Index: 107
view all 15 authors...
An individual is typically considered an adult at age 18, although the age of adulthood varies for different legal and social policies. A key question is how cognitive capacities relevant to these policies change with development. The current study used an emotional go/no-go paradigm and functional neuroimaging to assess cognitive control under sustained states of negative and positive arousal in a community sample of one hundred ten 13- to 25-year-olds from New York City and Los Angeles. The re...
97 CitationsSource
#1Terry L. Jernigan (UCSD: University of California, San Diego)H-Index: 101
#2Timothy T. Brown (UCSD: University of California, San Diego)H-Index: 34
Last. Anders M. Dale (UCSD: University of California, San Diego)H-Index: 166
view all 27 authors...
The main objective of the multi-site Pediatric Imaging, Neurocognition, and Genetics (PING) study was to create a large repository of standardized measurements of behavioral and imaging phenotypes accompanied by whole genome genotyping acquired from typically-developing children varying widely in age (3 to 20 years). This cross-sectional study produced sharable data from 1493 children, and these data have been described in several publications focusing on brain and cognitive development. Researc...
167 CitationsSource
Abstract Advances in brain imaging techniques have allowed neurobiological research to temporally analyze signals coding for the anticipation of reward. In addicted populations, both hyporesponsiveness and hyperresponsiveness of brain regions (e.g., ventral striatum) implicated in drug effects and reward system processing have been reported during anticipation of generalized reward. We discuss the current state of knowledge of reward processing in addictive disorders from a widely used and valid...
156 CitationsSource
#1Janette L. Smith (NDARC: National Drug and Alcohol Research Centre)H-Index: 21
#2Richard P. Mattick (NDARC: National Drug and Alcohol Research Centre)H-Index: 69
Last. Jaimi M. Iredale (NDARC: National Drug and Alcohol Research Centre)H-Index: 5
view all 4 authors...
Abstract Aims Deficits in behavioural inhibitory control are attracting increasing attention as a factor behind the development and maintenance of substance dependence. However, evidence for such a deficit is varied in the literature. Here, we synthesised published results to determine whether inhibitory ability is reliably impaired in substance users compared to controls. Methods The meta-analysis used fixed-effects models to integrate results from 97 studies that compared groups with heavy sub...
255 CitationsSource
#1Mary M. Heitzeg (UM: University of Michigan)H-Index: 31
#2Sandra Villafuerte (UM: University of Michigan)H-Index: 13
Last. Robert A. Zucker (UM: University of Michigan)H-Index: 78
view all 7 authors...
Heightened reactivity of the incentive-motivation system has been proposed to underlie adolescent-typical risky behaviors, including problem alcohol involvement. However, even in adolescence considerable individual variation in these behaviors exists, which may have genetic underpinnings and be related to variations in risk for later alcohol use disorder (AUD). Variants in GABRA2 have been associated with adult alcohol dependence as well as phenotypic precursors, including impulsiveness and exte...
42 CitationsSource
#1Sandra Villafuerte (UM: University of Michigan)H-Index: 13
#2Elisa M. Trucco (UM: University of Michigan)H-Index: 16
Last. Robert A. Zucker (UM: University of Michigan)H-Index: 78
view all 5 authors...
BACKGROUND: Genetic predisposition and environmental influences are both important factors in the development of problematic behavior leading to substance use in adolescence. Involvement with delinquent peers also strongly predicts adolescent externalizing behavior. Several lines of evidence support a role of GABRA2 on externalizing behavior related to disinhibition. However, whether this genetic association is influenced by the environment such as peer behavior remains unknown. METHODS: We exam...
12 CitationsSource
#1Michael Dreyfuss (Cornell University)H-Index: 11
#2Kristina CaudleH-Index: 2
Last. B. J. CaseyH-Index: 107
view all 10 authors...
There is a significant inflection in risk taking and criminal behavior during adolescence, but the basis for this increase remains largely unknown. An increased sensitivity to rewards has been suggested to explain these behaviors, yet juvenile offences often occur in emotionally charged situations of negative valence. How behavior is altered by changes in negative emotional processes during adolescence has received less attention than changes in positive emotional processes. The current study us...
59 CitationsSource
Cited By374
Newest
#1Hayoung Song (U of C: University of Chicago)H-Index: 3
#2Monica D. Rosenberg (U of C: University of Chicago)H-Index: 25
The ability to sustain attention differs across people and varies over time within a person. Models based on patterns of static functional brain connectivity observed during task performance and rest show promise for predicting individual differences in sustained attention as well as other forms of attention. The sensitivity of connectome-based models to attentional state changes, however, is less well characterized. Here, we review recent evidence that time-varying functional brain connectivity...
Source
#1Ross D. Markello (Montreal Neurological Institute and Hospital)H-Index: 8
#2Bratislav Misic (Montreal Neurological Institute and Hospital)H-Index: 30
Abstract Technological and data sharing advances have led to a proliferation of high-resolution structural and functional maps of the brain. Modern neuroimaging research increasingly depends on identifying correspondences between the topographies of these maps; however, most standard methods for statistical inference fail to account for their spatial properties. Recently, multiple methods have been developed to generate null distributions that preserve the spatial autocorrelation of brain maps a...
3 CitationsSource
#1Xinran Wu (Fudan University)
#2Gechang Yu (Fudan University)
Last. T.W. Robbins (Fudan University)H-Index: 5
view all 0 authors...
Abstract null null Background null OCD is characterized by both internalizing (anxiety) and externalizing (compulsivity) symptoms. Currently little is known about their inter-relationships and their relative contributions to disease heterogeneity. Our goal is to resolve affective and cognitive symptom heterogeneity related to internalized and externalized symptom dimensions by determining subtypes of children with OCD symptoms, and to identify any corresponding neural differences. null null null...
Source
#1Michael I. Demidenko (UM: University of Michigan)H-Index: 5
#2Ka I. Ip (Yale University)
Last. Daniel P. Keating (UM: University of Michigan)H-Index: 30
view all 6 authors...
Abstract Ecological stress during adolescent development may increase the sensitivity to negative emotional processes that can contribute to the onset and progression of internalizing behaviors during preadolescence. Although a small number of studies have considered the link among the relations between ecological stress, amygdala reactivity and internalizing symptoms in childhood and adolescence, these studies have largely been small, cross-sectional, and often do not consider unique roles of p...
Source
#1Meimei Liu (VT: Virginia Tech)
#2Zhengwu Zhang (UNC: University of North Carolina at Chapel Hill)H-Index: 10
Last. David B. Dunson (Duke University)H-Index: 89
view all 0 authors...
There has been huge interest in studying human brain connectomes inferred from different imaging modalities and exploring their relationship with human traits, such as cognition. Brain connectomes are usually represented as networks, with nodes corresponding to different regions of interest (ROIs) and edges to connection strengths between ROIs. Due to the high-dimensionality and non-Euclidean nature of networks, it is challenging to depict their population distribution and relate them to human t...
#1Chun Chieh Fan (UCSD: University of California, San Diego)H-Index: 26
#2R. J. Loughnan (UCSD: University of California, San Diego)H-Index: 4
Last. Anders M. Dale (UCSD: University of California, San Diego)H-Index: 166
view all 0 authors...
It is important to understand the molecular determinants for microstructures of human brain. However, past genome-wide association studies (GWAS) on microstructures of human brain have had limited results due to methodological constraints. Here, we adopt advanced imaging processing methods and multivariate GWAS on two large scale imaging genetic datasets (UK Biobank and Adolescent Brain Cognitive Development study) to identify and validate key genetic association signals. We discovered 503 uniqu...
Source
#1Giorgia GrisotH-Index: 5
#2Suzanne N. Haber (UR: University of Rochester)H-Index: 78
Last. Anastasia Yendiki (Harvard University)H-Index: 27
view all 0 authors...
Anatomic tracing is recognized as a critical source of knowledge on brain circuitry that can be used to assess the accuracy of diffusion MRI (dMRI) tractography. However, most prior studies that have performed such assessments have used dMRI and tracer data from different brains and/or have been limited in the scope of dMRI analysis methods allowed by the data. In this work, we perform a quantitative, voxel-wise comparison of dMRI tractography and anatomic tracing data in the same macaque brain....
1 CitationsSource
Children's behavioral problems have been associated with their family environments. Here, we investigate whether specific features of brain structures could relate to this link. Using structural magnetic resonance imaging of 8756 children aged 9-11 from the Adolescent Brain Cognitive Developmental study, we show that high family conflict and low parental monitoring scores are associated with children's behavioral problems, as well as with smaller cortical areas of the orbitofrontal cortex, anter...
Source
#1Anthony Steven Dick (FIU: Florida International University)H-Index: 21
#2Daniel A Lopez (URMC: University of Rochester Medical Center)H-Index: 2
Last. Andrew T. Marshall (SC: University of Southern California)H-Index: 14
view all 0 authors...
Abstract null null The Adolescent Brain Cognitive Development (ABCD) Study is the largest single-cohort prospective longitudinal study of neurodevelopment and children's health in the United States. A cohort of n= 11,880 children aged 9-10 years (and their parents/guardians) were recruited across 22 sites and are being followed with in-person visits on an annual basis for at least 10 years. The study approximates the US population on several key sociodemographic variables, including sex, race, e...
3 CitationsSource
#1Oualid Benkarim (McGill University)H-Index: 10
#2Casey Paquola (Montreal Neurological Institute and Hospital)H-Index: 16
Last. Tian Ge (Harvard University)H-Index: 24
view all 0 authors...
Brain-imaging research enjoys increasing adoption of supervised machine learning for single-subject disease classification. Yet, the success of these algorithms likely depends on population diversity, including demographic differences and other factors that may be outside of primary scientific interest. Here, we capitalize on propensity scores as a composite confound index to quantify diversity due to major sources of population stratification. We delineate the impact of population heterogeneity...
Source