Statistical diversity distinguishes global states of consciousness
bioRxiv December 7, 2023 preprint DOI: 10.1101/2023.12.05.570101
Summary
The intricate statistical patterns of brain activity are profoundly different across various states of consciousness. This research hypothesized that unique patterns in brain signal diversity could reliably differentiate global states, from wakefulness to deep sleep or anesthesia. By analyzing how brain signals change, researchers successfully identified distinct markers. They discovered that the statistical diversity of these signals provides a clear, objective metric, effectively distinguishing wakefulness, various sleep stages, and general anesthesia. This offers a robust method for identifying and understanding different conscious states.
Abstract
Statistical diversity distinguishes global states of consciousness