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The INSIDEOUT framework provides precise signatures of the balance of intrinsic and extrinsic dynamics in brain states

Abstract:
Finding precise signatures of different brain states is a central, unsolved question in neuroscience. We reformulated the problem to quantify the 'inside out' balance of intrinsic and extrinsic brain dynamics in brain states. The difference in brain state can be described as differences in the detailed causal interactions found in the underlying intrinsic brain dynamics. We used a thermodynamics framework to quantify the breaking of the detailed balance captured by the level of asymmetry in temporal processing, i.e. the arrow of time. Specifically, the temporal asymmetry was computed by the time-shifted correlation matrices for the forward and reversed time series, reflecting the level of non-reversibility/non-equilibrium. We found precise, distinguishing signatures in terms of the reversibility and hierarchy of large-scale dynamics in three radically different brain states (awake, deep sleep and anaesthesia) in electrocorticography data from non-human primates. Significantly lower levels of reversibility were found in deep sleep and anaesthesia compared to wakefulness. Non-wakeful states also showed a flatter hierarchy, reflecting the diversity of the reversibility across the brain. Overall, this provides signatures of the breaking of detailed balance in different brain states, perhaps reflecting levels of conscious awareness.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s42003-022-03505-7

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Role:
Author
ORCID:
0000-0002-8995-7583
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Role:
Author
ORCID:
0000-0003-2071-0475
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Role:
Author
ORCID:
0000-0003-0421-9993
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Institution:
University of Oxford
Oxford college:
Linacre College
Role:
Author
ORCID:
0000-0002-3908-6898


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Funder identifier:
10.13039/501100001732
Grant:
DNRF117


Publisher:
Nature Research
Journal:
Communications Biology More from this journal
Volume:
5
Issue:
1
Pages:
572-572
Article number:
572
Publication date:
2022-06-10
DOI:
EISSN:
2399-3642
ISSN:
2399-3642


Language:
English
Keywords:
Pubs id:
1263052
Local pid:
pubs:1263052
Source identifiers:
W4281774703
Deposit date:
2026-04-24
ARK identifier:
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