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Propofol-induced Unresponsiveness Is Associated with a Brain Network Phase Transition

BACKGROUND: The wakeful brain can easily access and coordinate a large repertoire of different states—dynamics suggestive of “criticality.” Anesthesia causes loss of criticality at the level of electroencephalogram waveforms, but the criticality of brain network connectivity is less well studied. Th...

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Autores principales: Pullon, Rebecca M., Warnaby, Catherine E., Sleigh, Jamie W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834166/
https://www.ncbi.nlm.nih.gov/pubmed/35120195
http://dx.doi.org/10.1097/ALN.0000000000004095
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author Pullon, Rebecca M.
Warnaby, Catherine E.
Sleigh, Jamie W.
author_facet Pullon, Rebecca M.
Warnaby, Catherine E.
Sleigh, Jamie W.
author_sort Pullon, Rebecca M.
collection PubMed
description BACKGROUND: The wakeful brain can easily access and coordinate a large repertoire of different states—dynamics suggestive of “criticality.” Anesthesia causes loss of criticality at the level of electroencephalogram waveforms, but the criticality of brain network connectivity is less well studied. The authors hypothesized that propofol anesthesia is associated with abrupt and divergent changes in brain network connectivity for different frequencies and time scales—characteristic of a phase transition, a signature of loss of criticality. METHODS: As part of a previously reported study, 16 volunteers were given propofol in slowly increasing brain concentrations, and their behavioral responsiveness was assessed. The network dynamics from 31-channel electroencephalogram data were calculated from 1 to 20 Hz using four phase and envelope amplitude–based functional connectivity metrics that covered a wide range of time scales from milliseconds to minutes. The authors calculated network global efficiency, clustering coefficient, and statistical complexity (using the Jensen–Shannon divergence) for each functional connectivity metric and compared their findings with those from an in silico Kuramoto network model. RESULTS: The transition to anesthesia was associated with critical slowing and then abrupt profound decreases in global network efficiency of 2 Hz power envelope metrics (from mean ± SD of 0.64 ± 0.15 to 0.29 ± 0.28 absolute value, P < 0.001, for medium; and from 0.47 ± 0.13 to 0.24 ± 0.21, P < 0.001, for long time scales) but with an increase in global network efficiency for 10 Hz weighted phase lag index (from 0.30 ± 0.20 to 0.72 ± 0.06, P < 0.001). Network complexity decreased for both the 10 Hz hypersynchronous (0.44 ± 0.13 to 0.23 ± 0.08, P < 0.001), and the 2 Hz asynchronous (0.73 ± 0.08 to 0.40 ± 0.13, P < 0.001) network states. These patterns of network coupling were consistent with those of the Kuramoto model of an order–disorder phase transition. CONCLUSIONS: Around loss of behavioral responsiveness, a small increase in propofol concentrations caused a collapse of long time scale power envelope connectivity and an increase in 10 Hz phase-based connectivity—suggestive of a brain network phase transition.
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spelling pubmed-88341662022-02-17 Propofol-induced Unresponsiveness Is Associated with a Brain Network Phase Transition Pullon, Rebecca M. Warnaby, Catherine E. Sleigh, Jamie W. Anesthesiology Perioperative Medicine: Clinical Science BACKGROUND: The wakeful brain can easily access and coordinate a large repertoire of different states—dynamics suggestive of “criticality.” Anesthesia causes loss of criticality at the level of electroencephalogram waveforms, but the criticality of brain network connectivity is less well studied. The authors hypothesized that propofol anesthesia is associated with abrupt and divergent changes in brain network connectivity for different frequencies and time scales—characteristic of a phase transition, a signature of loss of criticality. METHODS: As part of a previously reported study, 16 volunteers were given propofol in slowly increasing brain concentrations, and their behavioral responsiveness was assessed. The network dynamics from 31-channel electroencephalogram data were calculated from 1 to 20 Hz using four phase and envelope amplitude–based functional connectivity metrics that covered a wide range of time scales from milliseconds to minutes. The authors calculated network global efficiency, clustering coefficient, and statistical complexity (using the Jensen–Shannon divergence) for each functional connectivity metric and compared their findings with those from an in silico Kuramoto network model. RESULTS: The transition to anesthesia was associated with critical slowing and then abrupt profound decreases in global network efficiency of 2 Hz power envelope metrics (from mean ± SD of 0.64 ± 0.15 to 0.29 ± 0.28 absolute value, P < 0.001, for medium; and from 0.47 ± 0.13 to 0.24 ± 0.21, P < 0.001, for long time scales) but with an increase in global network efficiency for 10 Hz weighted phase lag index (from 0.30 ± 0.20 to 0.72 ± 0.06, P < 0.001). Network complexity decreased for both the 10 Hz hypersynchronous (0.44 ± 0.13 to 0.23 ± 0.08, P < 0.001), and the 2 Hz asynchronous (0.73 ± 0.08 to 0.40 ± 0.13, P < 0.001) network states. These patterns of network coupling were consistent with those of the Kuramoto model of an order–disorder phase transition. CONCLUSIONS: Around loss of behavioral responsiveness, a small increase in propofol concentrations caused a collapse of long time scale power envelope connectivity and an increase in 10 Hz phase-based connectivity—suggestive of a brain network phase transition. Lippincott Williams & Wilkins 2022-02-08 2022-03 /pmc/articles/PMC8834166/ /pubmed/35120195 http://dx.doi.org/10.1097/ALN.0000000000004095 Text en Copyright © 2022, the Authors. Published by Wolters Kluwer Health, Inc., on behalf of the American Society of Anesthesiologists. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. free
spellingShingle Perioperative Medicine: Clinical Science
Pullon, Rebecca M.
Warnaby, Catherine E.
Sleigh, Jamie W.
Propofol-induced Unresponsiveness Is Associated with a Brain Network Phase Transition
title Propofol-induced Unresponsiveness Is Associated with a Brain Network Phase Transition
title_full Propofol-induced Unresponsiveness Is Associated with a Brain Network Phase Transition
title_fullStr Propofol-induced Unresponsiveness Is Associated with a Brain Network Phase Transition
title_full_unstemmed Propofol-induced Unresponsiveness Is Associated with a Brain Network Phase Transition
title_short Propofol-induced Unresponsiveness Is Associated with a Brain Network Phase Transition
title_sort propofol-induced unresponsiveness is associated with a brain network phase transition
topic Perioperative Medicine: Clinical Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834166/
https://www.ncbi.nlm.nih.gov/pubmed/35120195
http://dx.doi.org/10.1097/ALN.0000000000004095
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