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Abstract #1294

Hybrid structure-function connectome predicts individual cognitive abilities

Elvisha Dhamala1,2, Keith W Jamison1, Sarah M Dennis3, Raihaan Patel4,5, M Mallar Chakravarty4,5,6, and Amy Kuceyeski1,2
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Neuroscience, Weill Cornell Medicine, New York, NY, United States, 3Sarah Lawrence College, Bronxville, NY, United States, 4Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada, 5Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada, 6Psychiatry, McGill University, Montreal, QC, Canada

Structural connectivity (SC) and functional connectivity (FC) can be independently used to predict cognition and show distinct patterns of variance in relation to cognition. No work identified has yet investigated whether SC and FC can be combined to better predict cognitive abilities. In this work, we aimed to predict cognitive measures in 785 healthy adults using a hybrid structure-function connectome and quantify the most important connections. We show that: 1) hybrid connectomes explain 15% of the variance in individual cognitive measures, and 2) long-range cortico-cortical functional connections and short-range cortico-subcortical and subcortico-subcortical structural connections are most important for the prediction.

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