ArticleFrontiers in neuroscience2021
Revealing the Relevant Spatiotemporal Scale Underlying Whole-Brain Dynamics.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Large-scale cortical functional networks are organized in structured cycles.Nature neuroscience · 2025Article
- Modelling low-dimensional interacting brain networks reveals organising principle in human cognition.Network neuroscience (Cambridge, Mass.) · 2025Article
- Neural mass modeling for the masses: Democratizing access to whole-brain biophysical modeling with FastDMF.Network neuroscience (Cambridge, Mass.) · 2024Article
- Functional hierarchies in brain dynamics characterized by signal reversibility in ferret cortex.PLoS computational biology · 2024Article
- Toward naturalistic neuroscience: Mechanisms underlying the flattening of brain hierarchy in movie-watching compared to rest and task.Science advances · 2023Article
- Frontoparietal network activation is associated with motor recovery in ischemic stroke patients.Communications biology · 2022Article
- Advancing brain network models to reconcile functional neuroimaging and clinical research.NeuroImage. Clinical · 2022Review
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Authors and funding
4 authors.
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Abstract
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.
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Registered trials
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