Tracking brain states under general anesthesia by using global coherence analysis

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 108; no. 21; pp. 8832 - 8837
• Main Authors: Cimenser, Aylin, Purdon, Patrick L, Pierce, Eric T, Walsh, John L, Salazar-Gomez, Andres F, Harrell, Priscilla G, Tavares-Stoeckel, Casie, Habeeb, Kathleen, Brown, Emery N
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 24.05.2011; National Acad Sciences
• Subjects: Analysis; Anesthesia; Anesthesia, General; Anesthetics; Biological Sciences; Brain; Brain - physiology; Brain Mapping; Current density; Density estimation; EEG; Eigenvalues; Eigenvectors; Electrodes; Electroencephalography; Electroencephalography - methods; General anesthesia; Humans; Laplacians; Methods; Models, Theoretical; Propofol; Spectral theory; Spectrograms; time series analysis; unconsciousness; Unconsciousness - chemically induced; Unconsciousness - physiopathology

Time and frequency domain analyses of scalp EEG recordings are widely used to track changes in brain states under general anesthesia. Although these analyses have suggested that different spatial patterns are associated with changes in the state of general anesthesia, the extent to which these patte...