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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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