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Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics
Author(s) -
Feng Han,
Yameng Gu,
Gregory L. Brown,
Xiang Zhang,
Xiao Liu
Publication year - 2020
Publication title -
neuroimage
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.259
H-Index - 364
eISSN - 1095-9572
pISSN - 1053-8119
DOI - 10.1016/j.neuroimage.2020.116853
Subject(s) - contrast (vision) , resting state fmri , neuroimaging , human brain , psychology , trait , neuroscience , correlation , perception , population , cognition , cognitive psychology , artificial intelligence , computer science , medicine , mathematics , geometry , environmental health , programming language
An essential task of neuroscience is to elucidate the relationship between the brain activity, brain structure, and human behavior. This study aims to understand this 3-way relationship by studying the population covariance of resting-state functional connectivity, cortical thickness, and behavioral/demographic measures in a large cohort of individuals. Using a data-driven canonical correlation analysis, we found that maximal pairwise correlations between the three modalities are approximately along the same direction across subjects, which is characterized by the change of the overall positive-negative trait of human behavior. More importantly, this behavioral change is associated with a divergent modulation of both resting-state connectivity and cortical thickness across cortical hierarchies between the higher-order cognitive networks and lower-order sensory/motor regions. The findings suggest that the cross-hierarchy contrast of structural and functional brain measures is tightly linked to the overall positive-negative trait of human behavior/demographics.

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