Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics

• Main Authors: Feng Han, Yameng Gu, Gregory L. Brown, Xiang Zhang, Xiao Liu
• Format: Article
• Language: English
• Published: Elsevier 2020-07-01
• Series: NeuroImage
• Subjects: Brain hierarchy; Cortical thickness; Resting-state fMRI connectivity; Behavioral and demographic measures; Canonical correlation analysis
• Online Access: http://www.sciencedirect.com/science/article/pii/S1053811920303396

An essential task of neuroscience is to elucidate the relationship between 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.