Kobeleva, XeniaLópez-González, Ane, 1993-Kringelbach, Morten L.Deco, Gustavo2022-06-272022-06-272021Kobeleva X, López-González A, Kringelbach ML, Deco G. Revealing the relevant spatiotemporal scale underlying whole-brain dynamics. Front Neurosci. 2021;15:715861. DOI: 10.3389/fnins.2021.7158611662-4548http://hdl.handle.net/10230/53592The 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.application/pdfeng© 2021 Kobeleva, López-González, Kringelbach and Deco. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.info:eu-repo/semantics/articlehttp://doi.org/10.3389/fnins.2021.715861modelingspatiotemporalbrain dynamicsfunctional connectivitybrain networksinfo:eu-repo/semantics/openAccess