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Abstract #0528

Frequency Distribution of Enhanced Sensorimotor Network in Stroke-Recovered Rat

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.