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Brain-wide functional connectivity patterns support general cognitive ability and mediate effects of socioeconomic status in youth.
Sripada, Chandra; Angstadt, Mike; Taxali, Aman; Clark, D Angus; Greathouse, Tristan; Rutherford, Saige; Dickens, Joseph R; Shedden, Kerby; Gard, Arianna M; Hyde, Luke W; Weigard, Alexander; Heitzeg, Mary.
Afiliación
  • Sripada C; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA. sripada@umich.edu.
  • Angstadt M; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
  • Taxali A; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
  • Clark DA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
  • Greathouse T; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
  • Rutherford S; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
  • Dickens JR; Department of Statistics, University of Michigan, Ann Arbor, MI, USA.
  • Shedden K; Department of Statistics, University of Michigan, Ann Arbor, MI, USA.
  • Gard AM; Department of Psychology and Neuroscience and Cognitive Neuroscience Program, University of Maryland, College Park, MD, USA.
  • Hyde LW; Department of Psychology and Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
  • Weigard A; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
  • Heitzeg M; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Transl Psychiatry ; 11(1): 571, 2021 11 08.
Article en En | MEDLINE | ID: mdl-34750359
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Conectoma Tipo de estudio: Clinical_trials / Prognostic_studies Aspecto: Determinantes_sociais_saude Límite: Adolescent / Humans Idioma: En Revista: Transl Psychiatry Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Conectoma Tipo de estudio: Clinical_trials / Prognostic_studies Aspecto: Determinantes_sociais_saude Límite: Adolescent / Humans Idioma: En Revista: Transl Psychiatry Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
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