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Revealing the Relevant Spatiotemporal Scale Underlying Whole-Brain Dynamics
Xenia Kobeleva1,2,3, Ane López-González2, Morten L Kringelbach4,5,6
1Department of Neurology, University of Bonn, Bonn, Germany.
Frontiers in Neuroscience
|November 8, 2021
Summary
Understanding brain dynamics requires considering relevant spatial and temporal scales. This study found optimal scales for analyzing whole-brain functional networks are approximately 300 regions and 150 milliseconds.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Brain Dynamics
Background:
- The brain's ability to process information relies on dynamic transitions between functional networks.
- Understanding the impact of spatiotemporal scales on these network dynamics is crucial.
Purpose of the Study:
- To investigate the relevance of different spatial and temporal scales in whole-brain functional networks.
- To identify optimal scales for analyzing brain dynamics.
Main Methods:
- Whole-brain modeling approach using functional magnetic resonance imaging (fMRI) data.
- Estimation of brain parcellations at various spatial scales (100-900 regions).
- Analysis of time series at different temporal scales (milliseconds to seconds).
- Quantification of dynamic repertoire richness using entropy of network transitions.
Main Results:
- The optimal relevant spatial scale for analyzing whole-brain functional networks was identified as approximately 300 regions.
- The optimal relevant temporal scale was found to be around 150 milliseconds.
- Entropy analysis revealed scale-dependent richness in brain network transitions.
Conclusions:
- This study provides critical evidence for the relevant spatiotemporal scales in brain dynamics.
- Recommendations are offered for optimizing the analysis of whole-brain functional network transitions.
