Brain Controllability and Control Energy in Gray–White Matter Fusion Network
These findings suggest that incorporating gray-matter morphological information into a DTI-supported network provides a complementary structural representation for studying brain network controllability and state transitions.
Yuxin Liu, Kangjia Chen, Jiang Qiu et al.
· bioRxiv · 0 citations