Multivariate environmental exposures are reflected in whole-brain functional connectivity and cognition in youth
Lichenstein, S. D.; Weng, Y.; Robinson, H.; Rodriguez, L.; Babaeianjelodar, M.; Maynard, J.; Metayer, M.; Suneja, S.; Horien, C.; Greene, A. S.; Constable, R. T.; Moore, T. M.; Barzilay, R.; Yip, S. W.; Keller, A. S.
Show abstract
Each individuals complex, multidimensional environment, known as their "exposome", plays an essential role in shaping cognitive neurodevelopment. Understanding the mechanisms whereby childrens exposome influences their development is crucial to facilitate the design of interventions to foster positive developmental trajectories for all youth. Recent work has identified a general exposome factor associated with socio-economic inequality that is strongly related to cognition and individual differences in the spatial organization of functional brain networks in youth. Building on these findings, the current study explores whether alterations in functional connectivity may represent a potential mechanism linking variation in the exposome to cognitive performance. We apply a data-driven, cross-validated, whole-brain machine learning approach, connectome-based statistical inference, to identify patterns of functional connectivity associated with exposome scores among early adolescents enrolled in the Adolescent Brain Cognitive Development (ABCD) Study using data collected during three cognitive tasks and during rest. Additionally, we investigate whether the identified patterns of functional connectivity relate to individual differences in cognitive performance across three domains: General Cognition, Executive Functioning, and Learning/Memory. Models incorporating 10-fold cross-validation over 100 iterations identified consistent functional connections associated with the exposome across task and rest conditions (model performance: ns = 6,137 - 8,391, rs = 0.34 - 0.44, ps <.001). Results were robust across data collection sites and functional connections common across all significant models were associated with cognitive performance across domains (ps < 0.0009). Collectively, these findings reveal that multidimensional environmental exposures are reflected in patterns of functional connectivity and relate to cognitive functioning among youth. HighlightsO_LIPatterns of functional connectivity reflect multivariate environmental exposures. C_LIO_LIConsistent exposome-related connectivity patterns were observed across brain states. C_LIO_LIThe identified general exposome network was associated with cognitive performance across domains. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=102 SRC="FIGDIR/small/688261v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@b5cc3aorg.highwire.dtl.DTLVardef@172f954org.highwire.dtl.DTLVardef@14f0d01org.highwire.dtl.DTLVardef@deccb5_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The midpoint of cortical thinning between late childhood and early adulthood differs between individuals and brain regions: Evidence from longitudinal modelling in a 12-wave neuroimaging sample 94%
- Moving Beyond the Mean: Subgroups and dimensions of brain activity and cognitive performance across domains 94%
- State and trait characteristics of anterior insula time-varying functional connectivity 94%
Similar papers in this journal
- The Effects of Adverse Life Events on Brain Development in the ABCD Study®: A Propensity-weighted Analysis 95%
- Life-course neighbourhood deprivation and brain structure in older adults: The Lothian Birth Cohort 1936 94%
- Deciphering the Influence of Socioeconomic Status on Brain Structure: Insights from Mendelian Randomization 93%
Similar papers in this journal
Similar papers in this journal
- No evidence for a relationship between social closeness and similarity in resting-state functional brain connectivity in schoolchildren 95%
- Electrophysiological resting-state signatures link polygenic scores to general intelligence 94%
- Functional Parcellation of the Default Mode Network: A Large-Scale Meta-Analysis 94%
Similar papers in this journal
- A general exposome factor explains individual differences in functional brain network topography and cognition in youth 96%
- Educational Environment and White Matter Development in Early Adolescence 95%
- Socioeconomic Resources are Associated with Distributed Alterations of the Brain's Intrinsic Functional Architecture in Youth 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.