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Abstract #2083

Reduced brain functional network dynamics in propofol sedation characterized by modularity and time delayed network mutual information analysis

Guangyu Chen 1 , Xiaolin Liu 1 , Anthony G Hudetz 2 , and Shi-Jiang Li 1

1 Biophysics, Medical College of Wisconsin, milwaukee, WI - Wisconsin, United States, 2 Department of Anesthesiology, Medical College of Wisconsin, milwaukee, WI - Wisconsin, United States

Time delayed network mutual information index (TD-NMI) was used to measure the dynamics of functional network modules in wakeful baseline, deep sedation with propofol, and recovery. Compared with wakeful baseline, all identified brain modules showed significantly reduced dynamics in deep sedation. During recovery, the frontal-posterior control module showed fully recovered dynamics, visual module showed partial recovery, while the default mode network and motor-sensory modules showed no sign of recovery. This study shed light, from a network dynamics perspective, on the relative importance of brain network modules and their association with the different states of propofol sedation.

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