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Prediction of neurocognition in youth from resting state fMRI.
Sripada, Chandra; Rutherford, Saige; Angstadt, Mike; Thompson, Wesley K; Luciana, Monica; Weigard, Alexander; Hyde, Luke H; Heitzeg, Mary.
Afiliação
  • Sripada C; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA. sripada@umich.edu.
  • Rutherford S; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
  • Angstadt M; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
  • Thompson WK; Division of Biostatistics, Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA.
  • Luciana M; Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
  • Weigard A; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
  • Hyde LH; Department of Psychology, Institute for Social Research, Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA.
  • Heitzeg M; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Mol Psychiatry ; 25(12): 3413-3421, 2020 12.
Article em En | MEDLINE | ID: mdl-31427753
ABSTRACT
Difficulties with higher-order cognitive functions in youth are a potentially important vulnerability factor for the emergence of problematic behaviors and a range of psychopathologies. This study examined 2013 9-10 year olds in the first data release from the Adolescent Brain Cognitive Development 21-site consortium study in order to identify resting state functional connectivity patterns that predict individual-differences in three domains of higher-order cognitive functions General Ability, Speed/Flexibility, and Learning/Memory. For General Ability scores in particular, we observed consistent cross-site generalizability, with statistically significant predictions in 14 out of 15 held-out sites. These results survived several tests for robustness including replication in split-half analysis and in a low head motion subsample. We additionally found that connectivity patterns involving task control networks and default mode network were prominently implicated in predicting differences in General Ability across participants. These findings demonstrate that resting state connectivity can be leveraged to produce generalizable markers of neurocognitive functioning. Additionally, they highlight the importance of task control-default mode network interconnections as a major locus of individual differences in cognitive functioning in early adolescence.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adolescent / Humans Idioma: En Revista: Mol Psychiatry Assunto da revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adolescent / Humans Idioma: En Revista: Mol Psychiatry Assunto da revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos