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- W3166221427 abstract "Abstract Dynamic functional brain connectivity facilitates adaptive cognition and behavior. Abnormal alterations within such connectivity could result in disrupted functions observed across various neurological conditions. As one of the most common neurological disorders, epilepsy is defined by the seemingly random occurrence of spontaneous seizures. A central but unresolved question concerns the mechanisms by which extraordinarily diverse dynamics of seizures emerge. Here, we apply a graph-theoretical approach to assess dynamic reconfigurations in the functional brain connectivity before, during, and after seizures that display heterogeneous propagation patterns despite sharing similar origins. We demonstrate unique reconfigurations in globally-defined network properties preceding seizure onset that predict propagation patterns of impending seizures, and in locally-defined network properties that differentiate post-onset dynamics. These results characterize quantitative network features underlying the heterogeneity of seizure dynamics and the accompanying clinical manifestations. Decoding these network properties could improve personalized preventative treatment strategies for epilepsy as well as other neurological disorders." @default.
- W3166221427 created "2021-06-22" @default.
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- W3166221427 date "2021-06-14" @default.
- W3166221427 modified "2023-10-03" @default.
- W3166221427 title "Brain network dynamics codify heterogeneity in seizure propagation" @default.
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- W3166221427 doi "https://doi.org/10.1101/2021.06.12.448205" @default.
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