Structural determinants of dynamic fluctuations between segregation and integration on the human connectome
Makoto Fukushima1,2,3, Olaf Sporns4,5
1Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara, 630-0192, Japan. mfukushi@is.naist.jp.
Communications Biology
|October 24, 2020
Summary
This study reveals how brain network structure, including global and local connections, drives dynamic shifts between segregated and integrated neural information processing. Understanding these connectome features offers insights into brain function and cognition.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Network Science
Background:
- Segregation and integration of neural information in the neocortex are crucial for human cognition and behavior.
- The underlying neural mechanisms driving dynamic fluctuations between these states remain poorly understood.
Purpose of the Study:
- To identify specific network features of the human connectome responsible for dynamic fluctuations between segregated and integrated functional connectivity patterns.
- To elucidate the structural basis of temporal changes in brain states.
Main Methods:
- Constructed rewired surrogate human connectomes preserving specific network features.
- Assessed the magnitude of dynamic fluctuations in functional connectivity simulated with these surrogates.
- Examined contributions of global geometry, topology, and localized structural connections.
Main Results:
- Global geometry and topology of the connectome significantly contribute to dynamic fluctuations.
- Localized structural connections, particularly those involving visual areas, also play a key role.
- Demonstrated a link between structural network features and dynamic functional connectivity.
Conclusions:
- The study provides structural accounts for dynamic fluctuations in functional connectivity.
- Offers new insights into the generative mechanisms underlying temporal changes in brain segregation and integration.
- Highlights the importance of connectome architecture in shaping dynamic brain function.
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