Adolescent neurocognitive development and impacts of substance use: Overview of the adolescent brain cognitive development (ABCD) baseline neurocognition battery

Luciana, Mónica; Bjork, James M.; Nagel, Bonnie J.; González, Raúl; Nixon, Sara Jo; Banich, Marie T.

doi:10.1016/j.dcn.2018.02.006

Cited by 393 publications

(480 citation statements)

References 119 publications

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“…Working memory performance in childhood. Individual differences in working memory and other cognitive and attentional processes were assessed using data from 4398 9-10-year-olds in the Adolescent Brain Cognitive Development (ABCD) study, an ongoing 21-site longitudinal study of neurocognitive development (56). ABCD study data collection includes yearly behavioral assessments, interviews, questionnaires, and biosample collection as well as biennial MRI scans (54).…”

Section: Resultsmentioning

confidence: 99%

“…The ABCD study is a multi-site study following a geographically, demographically, and socioeconomically diverse sample of over 11,000 children in the United States from age were not excluded, as these diagnoses were assessed with a single screening question and we aimed to characterize working memory in a heterogeneous developmental population. Task performance measures, described here and in Supplementary Table 1, were selected based on previous work including reports of ABCD baseline data (54,56).…”

Section: Methodsmentioning

confidence: 99%

“…The NIH Toolbox ® cognition battery includes seven tasks measuring multiple aspects of cognition (84) (Supplementary Table 1, column 3). Performance is measured using uncorrected standard scores as agecorrected scores are currently undergoing revision by the NIH Toolbox (56). (88).…”

Section: Methodsmentioning

confidence: 99%

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Behavioral and neural signatures of working memory in childhood

Rosenberg

Martinez

Rapuano

et al. 2019

Preprint

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Working memory function changes across development and varies across individuals.The patterns of behavior and brain function that track individual differences in working memory during development, however, are not well understood. Here we establish associations between working memory, cognitive abilities, and functional MRI activation in data from over 4,000 9-10-year-olds enrolled in the Adolescent Brain Cognitive Development study, an ongoing longitudinal study in the United States.Behavioral analyses reveal robust relationships between working memory, short-term memory, language skills, and fluid intelligence. Analyses relating out-of-scanner working memory performance to memory-related fMRI activation in an emotional nback task demonstrate that frontoparietal activity in response to an explicit memory challenge indexes working memory ability. Furthermore, this relationship is domainspecific, such that fMRI activation related to emotion processing during the emotional n-back task, inhibitory control during a stop-signal task, and reward processing during a monetary incentive delay task does not track memory abilities. Together these results inform our understanding of the emergence of individual differences in working memory and lay the groundwork for characterizing the ways in which they change across adolescence.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Behavioral and neural signatures of working memory in childhood

Rosenberg

Martinez

Rapuano

et al. 2019

Preprint

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“…Cognitive Measures. The ABCD cognitive test battery (Luciana et al, 2018) assessed fluid reasoning, episodic memory, flexible thinking, attention, working memory, learning, mental rotation, processing speed, vocabulary comprehension, and oral reading. It included the Little Man Task (Acker & Acker, 1982), Rey Auditory Verbal Learning Task (mean total correct of trials 1-5) (Taylor, 1959), Matrix Reasoning subtest from the Wechsler Intelligence Test for Children-V (Wechsler, 2014), Picture Vocabulary Task (PPVT) (Gershon et al, 2013), Oral Reading Recognition Task (Gershon et al, 2013), Pattern Comparison Processing Speed Test (Carlozzi, Beaumont, Tulsky, & Gershon, 2015), Dimensional Change Card Sort Task (Zelazo, 2006), List Sorting Working Memory Test (Tulsky et al, 2013), Picture Sequence Memory Test (Bauer et al, 2013), and Flanker Task (Fan, McCandliss, Sommer, Raz, & Posner, 2002).…”

Section: Methodsmentioning

confidence: 99%

Criterion Validity and Relationships between Alternative Hierarchical Dimensional Models of General and Specific Psychopathology

Moore

Kaczkurkin

Durham

et al. 2020

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Psychopathology can be viewed as a hierarchy of correlated dimensions. Many studies have supported this conceptualization, but they have used alternative statistical models with differing interpretations. In bifactor models, every symptom loads on both the general factor and one specific factor (e.g., internalizing), which partitions the total explained variance in each symptom between these orthogonal factors. In second-order models, symptoms load on one of several correlated lower-order factors. These lower-order factors load on a second-order general factor, which is defined by the variance shared by the lower-order factors. Thus, the factors in secondorder models are not orthogonal. Choosing between these valid statistical models depends on the hypothesis being tested. Because bifactor models define orthogonal phenotypes with distinct sources of variance, they are optimal for studies of shared and unique associations of the dimensions of psychopathology with external variables putatively relevant to etiology and mechanisms. Concerns have been raised, however, about the reliability of the orthogonal specific factors in bifactor models. We evaluated this concern using parent symptom ratings of 9-10 year olds in the ABCD Study. Psychometric indices indicated that all factors in both bifactor and second-order models exhibited at least adequate construct reliability and estimated replicability.The factors defined in bifactor and second-order models were highly to moderately correlated across models, but have different interpretations. All factors in both models demonstrated significant associations with external criterion variables of theoretical and clinical importance, but the interpretation of such associations in second-order models was ambiguous due to shared variance among factors.

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“…The NIH Toolbox® cognition battery 35,36 was administered as part of the ABCD study baseline neurocognition battery 37 . From the NIH Toolbox® cognition battery, total cognition composite scores were examined.…”

Section: Cognition Scoresmentioning

confidence: 99%

Economic, social, and physiological resilience predict brain structure and cognitive performance in 9 - 10-year-old children

Gonzalez

Palmer²,

Uban³

et al. 2019

Preprint

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While children with economic disadvantage are at risk for poorer outcomes in cognitive and brain development, less understood is the contribution of other factors in the broader socioeconomic context that may more closely index the underlying mechanisms influencing risk and resilience. We examined brain structure and cognitive test performance in association with economic disadvantage and 22 measures in the broader socioeconomic context among n = 8,158 demographically diverse 9-10-year-old children from the ABCD Study. Total cortical surface area and total cognition scores increased as a function of income-to-needs, with the steepest differences most apparent among children below and near poverty relative to their wealthier peers. We found three latent factors encompassing distinct relationships among our proximal measures, including social, economic, and physiological well-being, each associated with brain structure and cognitive performance independently of economic advantage.Our findings will inform future studies of risk and resilience in developmental outcomes for children with economic disadvantage.

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Adolescent neurocognitive development and impacts of substance use: Overview of the adolescent brain cognitive development (ABCD) baseline neurocognition battery

Cited by 393 publications

References 119 publications

Behavioral and neural signatures of working memory in childhood

Behavioral and neural signatures of working memory in childhood

Criterion Validity and Relationships between Alternative Hierarchical Dimensional Models of General and Specific Psychopathology

Economic, social, and physiological resilience predict brain structure and cognitive performance in 9 - 10-year-old children

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