Maximal flexibility in dynamic functional connectivity with critical dynamics revealed by fMRI data analysis and
Benshen Song1, Ningning Ma2,3, Guangyao Liu4
1Institute of Theoretical Physics, Lanzhou University, Lanzhou, People's Republic of China.
Journal of Neural Engineering
|May 10, 2019
Summary
Brain functional connectivity (FC) flexibility is maximized near critical dynamics, operating close to a phase transition. This finding reveals mechanisms of dynamic FC organization and aids in analyzing brain disorders.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Network Science
Background:
- Time-varying functional connectivity (FC) offers insights into brain network organization and alterations in disease.
- The dynamic mechanisms governing FC flexibility under structural constraints remain poorly understood.
Purpose of the Study:
- To explore the relationship between critical dynamics and functional connectivity flexibility in the human brain.
- To investigate the underlying mechanisms of dynamic FC organization.
Main Methods:
- Proposed connectivity number entropy (CNE) as a measure of FC flexibility.
- Analyzed resting-state fMRI (rs-fMRI) data from 95 healthy participants to correlate CNE with long-range temporal correlations (LRTCs).
- Employed a whole-brain computational model based on diffusion tensor imaging (DTI) to validate the findings.
Main Results:
- Maximal FC flexibility occurs when the brain operates near a critical point of a phase transition.
- The computational model best predicts regional CNE distribution near the critical point.
- Structural information is most effectively reflected by CNE through critical dynamics.
Conclusions:
- Revealed the dynamic mechanism underlying time-dependent FC organization.
- Provided a pathway for modeling flexible functional brain organization.
- Suggested potential applications in analyzing altered dynamic FC in neurological diseases.
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