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Temporal modes of hub synchronization at rest.
F de Pasquale1, S Spadone2, V Betti3
1Faculty of Veterinary Medicine, University of Teramo, Teramo, Italy.
Neuroimage
|April 5, 2021
Summary
The brain
Area of Science:
- Neuroscience
- Computational Neuroscience
- Network Science
Background:
- The brain's dynamic states arise from integrating and segregating large-scale brain networks.
- Mechanisms of brain network integration are not fully understood.
Purpose of the Study:
- To investigate the fundamental mechanisms of brain network integration during the resting state.
- To identify underlying temporal patterns in brain activity.
Main Methods:
- Analysis of resting-state functional magnetic resonance imaging (fMRI) data.
- Identification of synchronization modes (clusters of temporally aligned functional hubs).
- Simulation of attacks on the temporal synchronization mechanism.
Main Results:
- The brain visits a limited number of synchronization modes during rest.
- These modes alternate over time, forming temporal loops.
- Brain integration is vulnerable to disruptions in this temporal synchronization.
Conclusions:
- Resting-state synchronization modes may represent a temporal brain template.
- This template could be crucial for responding to environmental demands.
- Understanding these modes is key to comprehending brain function and vulnerability.
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