Optimal Griffiths Phase in Heterogeneous Human Brain Networks: Brain Criticality Embracing Stability and Flexibility across Individuals
Kejian Wu, Dante R. Chialvo, Changsong Zhou, and Lianchun Yu

TL;DR
This study proposes that the Griffiths phase, an extended critical regime influenced by brain network heterogeneity, explains individual variability in neural dynamics and cognitive functions, balancing robustness and flexibility in human brains.
Contribution
It introduces the Griffiths phase as a unifying framework for brain criticality that accounts for individual differences and the robustness-flexibility trade-off using human connectome data and modeling.
Findings
Extended global excitability ranges in brain networks due to heterogeneity.
Individual positions in the Griffiths phase correlate with unique cognitive profiles.
The Griffiths phase resolves the robustness-flexibility trade-off in brain function.
Abstract
A prominent hypothesis in neuroscience proposes that brains achieve optimal performance by operating near a critical point. However, this framework, which often assumes a universal critical point, fails to account for the extensive individual variability observed in neural dynamics and cognitive functions. These variabilities are not noise but rather an inherent manifestation of a fundamental systems-biology principle: the necessary trade-off between robustness and flexibility in human populations. Here, we propose that the Griffiths phase (GP), an extended critical regime synergically induced by two kinds of heterogeneities in brain network region and connectivity, offers a unified framework for brain criticality that better reconciles robustness and flexibility and accounts for individual variability. Using Human Connectome Project data and whole-brain modeling, we demonstrated that…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · Neural dynamics and brain function · Advanced Neuroimaging Techniques and Applications
