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Summary
The study develops a second-order mean field model of the human brain, applying moment closure and coarse-graining to a digital twin brain model with whole brain structural connectome. The model exhibits a phase transition from asynchronous activity to synchronous oscillation as cross-regional coupling strength increases. Criticality is found to enable optimal signal transmission and timescale diversity across the brain.
Highlights
- A second-order mean field model of the human brain is developed.
- The model exhibits a phase transition from asynchronous to synchronous activity.
- Criticality enables optimal signal transmission and timescale diversity.
- The model is derived from a digital twin brain model with whole brain structural connectome.
- Moment closure and coarse-graining are applied to develop the model.
- The study highlights the importance of criticality in brain function.
- The model provides a link between microscopic and macroscopic neural dynamics.
Key Insights
- The second-order mean field model provides a novel approach to studying whole brain dynamics, capturing the nonlinear coupling between mean firing rate and firing variability.
- Criticality is a key mechanism for enabling optimal signal transmission and timescale diversity across the brain, highlighting its importance in brain function.
- The model's ability to exhibit a phase transition from asynchronous to synchronous activity suggests a complex interplay between neural populations and structural connectome.
- The study demonstrates the value of integrating digital twin brain models with mean field approaches to gain insights into brain function.
- The findings suggest that the brain may self-organize towards an optimal operating regime by adjusting cross-regional coupling strength.
- The model provides a framework for understanding how structural connectome and criticality jointly shape intrinsic timescale hierarchy across the brain.
- The study highlights the need for further research into the role of criticality in brain function and its relationship to neural dynamics and structural connectome.
Mindmap
Citation
Qi, Y., Wang, J., Ding, W., Deco, G., Jirsa, V., Lu, W., & Feng, J. (2024). Optimal signal transmission and timescale diversity in a model of human brain operating near criticality (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2412.17043