Prediction of neurocognition in youth from resting state fMRI

Chandra Sripada, Saige Rutherford, Mike Angstadt, Wesley K. Thompson, Monica Luciana, Alexander Weigard, Luke H. Hyde, Mary Heitzeg

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)3413-3421
Number of pages9
JournalMolecular psychiatry
Volume25
Issue number12
DOIs
StatePublished - Dec 2020

Bibliographical note

Publisher Copyright:
© 2019, The Author(s), under exclusive licence to Springer Nature Limited.

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