In:
PLOS Computational Biology, Public Library of Science (PLoS), Vol. 17, No. 7 ( 2021-7-27), p. e1009139-
Abstract:
Consciousness transiently fades away during deep sleep, more stably under anesthesia, and sometimes permanently due to brain injury. The development of an index to quantify the level of consciousness across these different states is regarded as a key problem both in basic and clinical neuroscience. We argue that this problem is ill-defined since such an index would not exhaust all the relevant information about a given state of consciousness. While the level of consciousness can be taken to describe the actual brain state, a complete characterization should also include its potential behavior against external perturbations. We developed and analyzed whole-brain computational models to show that the stability of conscious states provides information complementary to their similarity to conscious wakefulness. Our work leads to a novel methodological framework to sort out different brain states by their stability and reversibility, and illustrates its usefulness to dissociate between physiological (sleep), pathological (brain-injured patients), and pharmacologically-induced (anesthesia) loss of consciousness.
Type of Medium:
Online Resource
ISSN:
1553-7358
DOI:
10.1371/journal.pcbi.1009139
DOI:
10.1371/journal.pcbi.1009139.g001
DOI:
10.1371/journal.pcbi.1009139.g002
DOI:
10.1371/journal.pcbi.1009139.g003
DOI:
10.1371/journal.pcbi.1009139.g004
DOI:
10.1371/journal.pcbi.1009139.g005
DOI:
10.1371/journal.pcbi.1009139.s001
DOI:
10.1371/journal.pcbi.1009139.s002
DOI:
10.1371/journal.pcbi.1009139.s003
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2193340-6
Permalink