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Abstract #2989

Multimodal data revealed different biological substrates underlying intelligence for young males and females

Rongtao Jiang1,2, Vince D. Calhoun3,4, Shile Qi3, Tianzi Jiang1,2,5, and Jing Sui1,2,3,5

1Brainnetome Center, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 2University of Chinese Academy of Sciences, Beijing, China, 3the Mind Research Network, Albuquerque, NM, United States, 4Dept. of Psychiatry and Neurosciences, University of New Mexico, Albuquerque, NM, United States, 5Chinese Academy of Sciences Center for Excellence in Brain Science, Institute of Automation, Beijing, China

Individual differences in intelligence are usually measured using psychometric tests, which cover multifaceted cognitive domains and are strongly predictive of various life outcomes. Here, we employed connectome-based predictive modeling (CPM) to estimate individual’s IQ scores using either cortical thickness in grey matter or resting-state functional connectivity within fully cross-validations for males and females separately. Importantly, integrating multimodal neuroimaging data using CPM achieved improved prediction performance. Interestingly, we found that males and females use distinctively structured brains to achieve similar level of intelligence, consistent with their superiority in cognitive behavior domains (visuospatial processing and logical thinking vs. verbal and memory ability).

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