ArticleNature communications2021
Brain network coupling associated with cognitive performance varies as a function of a child's environment in the ABCD study.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Socioeconomic Status Disparities in Children's Cognition-Differences in Degree or Kind?Perspectives on psychological science : a journal of the Association for Psychological Science · 2026Pooled it
- From school climate to brain development: What the ABCD study reveals about the educational context of adolescence.Developmental cognitive neuroscience · 2026Review
- Feasibility of precision functional mapping in youth multi-echo fMRI data.Developmental cognitive neuroscience · 2026Article
- Friends, family, and community influences on adolescent development: A review of impactful findings from the ABCD study®.Developmental cognitive neuroscience · 2026Article
- Optimal brain development is context-dependent: How socioeconomic status moderates brain-behavior relationships in cognitive and academic development.Neuroscience and biobehavioral reviews · 2026Review
- Unsupervised Clustering Reveals Sociodemographic Determinants of Differential Brain Development During Adolescence.Human brain mapping · 2026Article
- Feasibility of Precision Functional Mapping in Youth Multi-Echo fMRI Data.bioRxiv : the preprint server for biology · 2026Article
- Task and Resting-State Functional Magnetic Resonance Imaging Modeling of Brain-Behavior Relationships in Developmental Cohorts.Biological psychiatry · 2026Review
- Childhood environment clusters reveal heterogeneous associations between large-scale brain networks and youth mental health symptoms.Psychological medicine · 2026Article
- Social 'envirotyping' the ABCD study contextualizes dissociable brain organization and diverging outcomes.Social cognitive and affective neuroscience · 2026Article
- Cognitive Resilience and Vulnerability to Socioeconomic Disadvantage: Predictors Across Individual, Family, School, and Neighborhood Contexts.Developmental science · 2026Article
- Interrelation Among the Developmental Trajectories of Brain, Cognition and Behavior During Adolescence.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2025Article
- Beyond discrete classifications: a computational approach to the continuum of cognition and behavior in children.Npj mental health research · 2025Article
- Connectome-Based Predictive Models of General and Specific Executive Functions.Human brain mapping · 2025Article
- Acupuncture for Poststroke Cognitive Impairment Based on Default Mode Network Analysis: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2025Article
- The effects of adverse life events on brain development in the ABCD study®: a propensity-weighted analysis.Molecular psychiatry · 2025Article
- The Transition From Homogeneous to Heterogeneous Machine Learning in Neuropsychiatric Research.Biological psychiatry global open science · 2025Review
- Connectome-Based Predictive Modeling of Trait Mindfulness.Human brain mapping · 2025Article
- Neurodevelopmental subtypes of functional brain organization in the ABCD study using a rigorous analytic framework.NeuroImage · 2024Article
- Socioeconomic resources in youth are linked to divergent patterns of network integration/segregation across the brain's transmodal axis.PNAS nexus · 2024Article
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3 authors.
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Abstract
Prior research indicates that lower resting-state functional coupling between two brain networks, lateral frontoparietal network (LFPN) and default mode network (DMN), relates to cognitive test performance, for children and adults. However, most of the research that led to this conclusion has been conducted with non-representative samples of individuals from higher-income backgrounds, and so further studies including participants from a broader range of socioeconomic backgrounds are required. Here, in a pre-registered study, we analyzed resting-state fMRI from 6839 children ages 9-10 years from the ABCD dataset. For children from households defined as being above poverty (family of 4 with income > $25,000, or family of 5+ with income > $35,000), we replicated prior findings; that is, we found that better performance on cognitive tests correlated with weaker LFPN-DMN coupling. For children from households defined as being in poverty, the direction of association was reversed, on average: better performance was instead directionally related to stronger LFPN-DMN connectivity, though there was considerable variability. Among children in households below poverty, the direction of this association was predicted in part by features of their environments, such as school type and parent-reported neighborhood safety. These results highlight the importance of including representative samples in studies of child cognitive development.
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