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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