Woo Shim1,
Ji-Yeon Suh1, 2, Jeong Kon Kim2, Bruce Rosen1,
Young Kim1
1Massachusetts
General Hospital, Charlestown, Ma, United States; 2Asan Medical
Center, Seoul, Korea
Resting-state fMRI (rs-fMRI) has emerged as an important method for non-invasively assessing evolution of neural networks. Using rs-fMRI, the current work shows that the concomitant reshaping of the causal connectivity in the frequency-domain accompanies the stroke-recovery process.