Objective:

To propose a state-constrained triple-network model of self-organisation in the context of chronic pain, incorporating physiological regulation to enhance understanding of the disorder.

Approach:

Key Findings:

• Chronic pain is linked to disturbances in large-scale brain networks, particularly the SN, DMN, and CEN, with physiological regulation playing a crucial role in these dynamics.
• Physiological regulation influences the dynamics of these brain networks, contributing to the persistence and variability of pain states.
• Self-organisation of brain networks is proposed as a mechanism through which chronic pain emerges and stabilizes, influenced by physiological factors.

Interpretation:

Chronic pain may reflect a theoretical stable attractor configuration of brain network interactions maintained by physiological regulatory constraints.

Limitations:

• The model does not propose physiological dysregulation as the sole cause of chronic pain but acknowledges its role within a broader context.
• Current models may not fully account for the complexity of interactions among physiological, neural, and experiential factors as they relate to the proposed model.

Conclusion:

The proposed framework links network neuroscience with physiological regulation and self-experience, offering a multilevel understanding of chronic pain.

Attribution Notice

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.