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- W3210472944 abstract "The brain rapidly processes and adapts to new information by dynamically transitioning between whole-brain functional networks. In this whole-brain modeling study we investigate the relevance of spatiotemporal scale in whole-brain functional networks. This is achieved through estimating brain parcellations at different spatial scales (100-900 regions) and time series at different temporal scales (from milliseconds to seconds) generated by a whole-brain model fitted to fMRI data. We quantify the richness of the dynamic repertoire at each spatiotemporal scale by computing the entropy of transitions between whole-brain functional networks. The results show that the optimal relevant spatial scale is around 300 regions and a temporal scale of around 150 ms. Overall, this study provides much needed evidence for the relevant spatiotemporal scales and recommendations for analyses of brain dynamics." @default.
- W3210472944 created "2021-11-08" @default.
- W3210472944 creator A5043559110 @default.
- W3210472944 creator A5047963275 @default.
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- W3210472944 creator A5076992131 @default.
- W3210472944 date "2021-10-22" @default.
- W3210472944 modified "2023-10-17" @default.
- W3210472944 title "Revealing the Relevant Spatiotemporal Scale Underlying Whole-Brain Dynamics" @default.
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- W3210472944 doi "https://doi.org/10.3389/fnins.2021.715861" @default.
- W3210472944 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8569182" @default.
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- W3210472944 hasPublicationYear "2021" @default.
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