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- W4387432416 abstract "Abstract Condensation has long been a closely studied problem in statistical physics but little attention has been paid to neural science. Here, we discuss this problem in brain networks and discover the condensation of a functional brain network whereby all its eigenmodes are condensed only into a few or even a single eigenmode of the structural brain network. We show that the condensation occurs due to the emergence of both chimera states and brain functions from the structure of the brain network. Furthermore, the condensation only appears in the regions of chimera and the condensed eigenmodes are only limited to the lower ones. Condensation is confirmed across different levels of brain subnetworks, including hemispheres, cognitive subnetworks, and isolated cognitive subnetworks, which are further supported by resting-state functional connectivity from empirical data. Our results indicate that condensation could be a potential mechanism for performing brain functions." @default.
- W4387432416 created "2023-10-09" @default.
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- W4387432416 date "2023-10-07" @default.
- W4387432416 modified "2023-10-09" @default.
- W4387432416 title "Condensation of eigenmodes in functional brain network and its correlation to chimera state" @default.
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- W4387432416 doi "https://doi.org/10.1038/s42005-023-01405-8" @default.
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