Neural Correlates of Unconsciousness in Large-Scale Brain Networks.
George A. Mashour, Anthony G. Hudetz
Trends in Neurosciences February 3, 2018 DOI: 10.1016/j.tins.2018.01.003 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Review Peer reviewed |
|---|---|
| Keywords | Neural pathways Animals Humans Unconsciousness Electroencephalography Brain mapping |
| Key findings | The authors propose that physiological, pharmacological, and pathological states of unconsciousness share features of functional brain disconnection and reduced neural complexity at the level of large-scale brain networks. They argue that brain connectivity, repertoire, graph-theoretical techniques, and neural dynamics are central to understanding these states, while noting unresolved questions about true correlates, cross-scale links, and differential recovery. |
Abstract
The biological basis of consciousness is one of the most challenging and fundamental questions in 21st century science. A related pursuit aims to identify the neural correlates and causes of unconsciousness. We review current trends in the investigation of physiological, pharmacological, and pathological states of unconsciousness at the level of large-scale functional brain networks. We focus on the roles of brain connectivity, repertoire, graph-theoretical techniques, and neural dynamics in understanding the functional brain disconnections and reduced complexity that appear to characterize these states. Persistent questions in the field, such as distinguishing true correlates, linking neural scales, and understanding differential recovery patterns, are also addressed.
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