Revealing the Relevant Spatiotemporal Scale Underlying Whole-Brain Dynamics

Xenia Kobeleva*, Ane López-González, Morten L. Kringelbach, Gustavo Deco

*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review


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.

Original languageEnglish
Article number715861
JournalFrontiers in Neuroscience
Number of pages12
Publication statusPublished - Oct 2021


  • brain dynamics
  • brain networks
  • functional connectivity
  • modeling
  • spatiotemporal


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