TY - JOUR
T1 - Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics
AU - Han, Feng
AU - Gu, Yameng
AU - Brown, Gregory L.
AU - Zhang, Xiang
AU - Liu, Xiao
N1 - Funding Information:
This work was supported by the National Institutes of Health Pathway to Independence Award ( K99/R00 5R00NS092996-03 ).
Funding Information:
In addition, data were provided by the Human Connectome Project , WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657 ) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research ; and by the McDonnell Center for Systems Neuroscience at Washington University . We are grateful for all researchers who make efforts on collecting and sharing this dataset to the present study.
PY - 2020/7/15
Y1 - 2020/7/15
N2 - 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.
AB - 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.
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U2 - 10.1016/j.neuroimage.2020.116853
DO - 10.1016/j.neuroimage.2020.116853
M3 - Article
C2 - 32302765
AN - SCOPUS:85083705804
VL - 215
JO - NeuroImage
JF - NeuroImage
SN - 1053-8119
M1 - 116853
ER -