Abstract

General cognitive ability (GCA) is an individual difference dimension linked to important academic, occupational, and health-related outcomes and its development is strongly linked to differences in socioeconomic status (SES). Complex abilities of the human brain are realized through interconnections among distributed brain regions, but brain-wide connectivity patterns associated with GCA in youth, and the influence of SES on these connectivity patterns, are poorly understood. The present study examined functional connectomes from 5937 9- and 10-year-olds in the Adolescent Brain Cognitive Development (ABCD) multi-site study. Using multivariate predictive modeling methods, we identified whole-brain functional connectivity patterns linked to GCA. In leave-one-site-out cross-validation, we found these connectivity patterns exhibited strong and statistically reliable generalization at 19 out of 19 held-out sites accounting for 18.0% of the variance in GCA scores (cross-validated partial η2). GCA-related connections were remarkably dispersed across brain networks: across 120 sets of connections linking pairs of large-scale networks, significantly elevated GCA-related connectivity was found in 110 of them, and differences in levels of GCA-related connectivity across brain networks were notably modest. Consistent with prior work, socioeconomic status was a strong predictor of GCA in this sample, and we found that distributed GCA-related brain connectivity patterns significantly statistically mediated this relationship (mean proportion mediated: 15.6%, p < 2 × 10−16). These results demonstrate that socioeconomic status and GCA are related to broad and diffuse differences in functional connectivity architecture during early adolescence, potentially suggesting a mechanism through which socioeconomic status influences cognitive development.

Details

Title
Brain-wide functional connectivity patterns support general cognitive ability and mediate effects of socioeconomic status in youth
Author
Sripada Chandra 1   VIAFID ORCID Logo  ; Angstadt, Mike 1   VIAFID ORCID Logo  ; Taxali Aman 1 ; Angus, Clark D 1 ; Greathouse Tristan 1 ; Rutherford Saige 1 ; Dickens, Joseph R 2 ; Shedden Kerby 2 ; Gard, Arianna M 3 ; Hyde, Luke W 4   VIAFID ORCID Logo  ; Weigard Alexander 1 ; Heitzeg, Mary 1 

 University of Michigan, Department of Psychiatry, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370) 
 University of Michigan, Department of Statistics, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370) 
 University of Maryland, Department of Psychology and Neuroscience and Cognitive Neuroscience Program, College Park, USA (GRID:grid.164295.d) (ISNI:0000 0001 0941 7177) 
 University of Michigan, Department of Psychology and Survey Research Center at the Institute for Social Research, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
21583188
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2594889855
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.