Abstract #2989

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

Rongtao Jiang^1,2, Vince D. Calhoun^3,4, Shile Qi³, Tianzi Jiang^1,2,5, and Jing Sui^1,2,3,5

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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