Symmetry breaking organizes the brain’s resting state manifold
Abstract 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 comput...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-83542-w |
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| author | Jan Fousek Giovanni Rabuffo Kashyap Gudibanda Hiba Sheheitli Spase Petkoski Viktor Jirsa |
| author_facet | Jan Fousek Giovanni Rabuffo Kashyap Gudibanda Hiba Sheheitli Spase Petkoski Viktor Jirsa |
| author_sort | Jan Fousek |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-15bf6ad2bc5f4070a0707ea8e5324c20 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-15bf6ad2bc5f4070a0707ea8e5324c202025-01-05T12:30:00ZengNature PortfolioScientific Reports2045-23222024-12-0114111710.1038/s41598-024-83542-wSymmetry breaking organizes the brain’s resting state manifoldJan Fousek0Giovanni Rabuffo1Kashyap Gudibanda2Hiba Sheheitli3Spase Petkoski4Viktor Jirsa5INSERM, INS, Institut de Neurosciences des Systèmes, Aix Marseille UniversityINSERM, INS, Institut de Neurosciences des Systèmes, Aix Marseille UniversityINSERM, INS, Institut de Neurosciences des Systèmes, Aix Marseille UniversityDepartment of Neurology, University of MinnesotaINSERM, INS, Institut de Neurosciences des Systèmes, Aix Marseille UniversityINSERM, INS, Institut de Neurosciences des Systèmes, Aix Marseille UniversityAbstract 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.https://doi.org/10.1038/s41598-024-83542-w |
| spellingShingle | Jan Fousek Giovanni Rabuffo Kashyap Gudibanda Hiba Sheheitli Spase Petkoski Viktor Jirsa Symmetry breaking organizes the brain’s resting state manifold Scientific Reports |
| title | Symmetry breaking organizes the brain’s resting state manifold |
| title_full | Symmetry breaking organizes the brain’s resting state manifold |
| title_fullStr | Symmetry breaking organizes the brain’s resting state manifold |
| title_full_unstemmed | Symmetry breaking organizes the brain’s resting state manifold |
| title_short | Symmetry breaking organizes the brain’s resting state manifold |
| title_sort | symmetry breaking organizes the brain s resting state manifold |
| url | https://doi.org/10.1038/s41598-024-83542-w |
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