Revealing the Relevant Spatiotemporal Scale Underlying Whole-Brain Dynamics

Journal article

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

Authors: Kobeleva, X; López-González, A; Kringelbach, ML; Deco, G

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Frontiers Media
• Journal: Frontiers in Neuroscience
• Volume: 15
• Pages: 715861-715861
• Article number: 715861
• Publication date: 2021-10-22
• DOI: 10.3389/fnins.2021.715861
• EISSN: 1662-453X
• ISSN: 1662-4548
• Language: English
• Keywords: Computer science; Dynamics (music); Geography; Scale (ratio); Psychology; Cartography