Estimating the Integrated Information Measure Phi from High-Density Electroencephalography during States of Consciousness in Humans
Frontiers in Human Neuroscience February 16, 2018 Hyoungkyu Kim, A. Hudetz, Joseph W Y Lee et al.
A practical method estimates integrated information (Φ), a measure proposed by integrated information theory to be related to consciousness, from 128-channel EEG. The method alone cannot distinguish certain anesthetic states, but combining Φ with four EEG connectivity parameters—power, frequency, functional connectivity, and modularity—differentiates all states of consciousness. The association of Φ with EEG connectivity during anesthesia offers a new approach to applying the theory, potentially useful for characterizing consciousness in sleep, anesthesia, and coma.