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bioRxiv · 10.1101/495267

Prediction of Neurocognitive Profiles in Youth From Resting State fMRI

Sripada, C.·Rutherford, S.·Angstadt, M.·Thompson, W. K.·Luciana, M.·Weigard, A.·Hyde, L.·Heitzeg, M.
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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 2,013 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. We found that connectivity patterns involving task control networks and default mode network were prominently implicated in predicting individual differences across participants across all three domains. In addition, for General Ability scores specifically, we observed consistent cross-site generalizability, with statistically significant predictions in 14 out of 15 held-out sites. 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 inter-connections as a major locus of individual differences in cognitive functioning in early adolescence.

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Sripada, C., Rutherford, S., Angstadt, M., Thompson, W. K., Luciana, M., Weigard, A., Hyde, L., Heitzeg, M.. 2018-12-13. Prediction of Neurocognitive Profiles in Youth From Resting State fMRI. https://doi.org/10.1101/495267

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