Abstract #4667
Graph Analyses of the Network Connectivity Changes during Propofol-Induced Sedation and Unconsciousness
Maolin Qiu 1 , Ramachandran Ramani 2 , Xilin Shen 1 , and Robert Todd Constable 1,3
1
Diagnostic Radiology, Yale School of
Medicine, New Haven, Connecticut, United States,
2
Anesthesiology,
Yale School of Medicine, New Haven, Connecticut, United
States,
3
Biomedical
Engineering, Neurosurgery, Yale School of Medicine,
Connecticut, United States
Understanding how brain function is affected by
anesthetics will help both anesthesiologists and
neuroscientists reveal the underlying cognitive
processes for consciousness and sleep. Anesthetic
effects on the resting-state brain connectivity between
regions of interest (ROIs) could be evaluated using
graph theory, but parcellation of ROIs might be among
the critical factors that account for the diversity in
the previously observed results. Functional MR image
voxels can be grouped into brain ROIs based on the
resting-state connectivity coherence. In this study we
evaluated the anesthetic effects of propofol on the
connectivity between ROIs parcellated based on the
similarity of resting-state time courses.
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