Symmetry breaking organizes the brain's resting state manifold
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F24%3A00138876" target="_blank" >RIV/00216224:14740/24:00138876 - isvavai.cz</a>
Result on the web
<a href="https://www.nature.com/articles/s41598-024-83542-w" target="_blank" >https://www.nature.com/articles/s41598-024-83542-w</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41598-024-83542-w" target="_blank" >10.1038/s41598-024-83542-w</a>
Alternative languages
Result language
angličtina
Original language name
Symmetry breaking organizes the brain's resting state manifold
Original language description
Spontaneously fluctuating brain activity patterns that emerge at rest have been linked to the brain's health and cognition. Despite detailed descriptions of the spatio-temporal brain patterns, our understanding of their generative mechanism is still incomplete. Using a combination of computational modeling and dynamical systems analysis we provide a mechanistic description of the formation of a resting state manifold via the network connectivity. We demonstrate that the symmetry breaking by the connectivity creates a characteristic flow on the manifold, which produces the major data features across scales and imaging modalities. These include spontaneous high-amplitude co-activations, neuronal cascades, spectral cortical gradients, multistability, and characteristic functional connectivity dynamics. When aggregated across cortical hierarchies, these match the profiles from empirical data. The understanding of the brain's resting state manifold is fundamental for the construction of task-specific flows and manifolds used in theories of brain function. In addition, it shifts the focus from the single recordings towards the brain's capacity to generate certain dynamics characteristic of health and pathology.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Nature Scientific Reports
ISSN
2045-2322
e-ISSN
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Volume of the periodical
14
Issue of the periodical within the volume
1
Country of publishing house
DE - GERMANY
Number of pages
17
Pages from-to
1-17
UT code for WoS article
001389341200036
EID of the result in the Scopus database
2-s2.0-85213732275