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Revealing the Relevant Spatiotemporal Scale Underlying Whole-Brain Dynamics

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  • Xenia Kobeleva, University of Bonn, Pompeu Fabra University, German Center for Neurodegenerative Diseases
  • ,
  • Ane López-González, Pompeu Fabra University
  • ,
  • Morten L. Kringelbach
  • Gustavo Deco, Pompeu Fabra University, ICREA, Max Planck Institute for Human Cognitive and Brain Sciences, Monash University

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

Bibliographical note

Publisher Copyright:
Copyright © 2021 Kobeleva, López-González, Kringelbach and Deco.

    Research areas

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

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