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Repetitive transcranial magnetic stimulation may increase network flexibility to address chronic pain through triple-network interactionsNew Theory Explains Why Chronic Pain Persists in the Brain

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Key Takeaway
Note that this conceptual framework suggests rTMS may improve network flexibility in chronic pain management.

This narrative review presents a theoretical framework for understanding the persistence of chronic pain. It proposes a state-constrained triple-network model where interactions among the salience network (SN), default mode network (DMN), and central executive network (CEN) are shaped by physiological regulation. The authors argue that chronic pain represents a stable attractor configuration maintained by these constraints.

The review explores rTMS as a specific perturbation intended to increase network flexibility. It also examines the role of physiological regulation in achieving durable recovery from chronic pain states. Because this is a conceptual framework, no primary clinical data or trial results were analyzed.

Limitations include the lack of primary data and the low certainty associated with narrative reviews. The findings are theoretical rather than evidence-based from clinical trials. Clinical application should be approached with caution as the specific impact of rTMS on these networks remains a proposed model for future integrated treatment approaches.

Researchers have proposed a new way to understand why some people experience long-term chronic pain. This theory looks at how three main brain networks interact with each other. These networks include the salience network, the default mode network, and the central executive network. The model suggests that chronic pain becomes a stable state in the brain because of these specific interactions.

The researchers also looked at how repetitive transcranial magnetic stimulation (rTMS) might act as a way to change these patterns. They believe that by introducing this type of stimulation, it might help increase flexibility between the different brain networks. This could potentially lead to better ways of managing pain over time.

It is important to note that this study is a narrative review and does not include new clinical trial data or direct patient testing. Because it is a theoretical framework, it does not prove that rTMS works for chronic pain yet. It is intended to help scientists design better treatments in the future rather than providing an immediate medical recommendation.

What this means for you:
A new theory suggests chronic pain stems from specific brain network patterns, which may help guide future research.

Common questions

What is the theory behind why chronic pain lasts so long?

The theory suggests that chronic pain is a stable state caused by interactions between three specific brain networks: the salience network, the default mode network, and the central executive network. These interactions are shaped by physiological regulation, which can make the pain state persist over time.

How could rTMS help with chronic pain according to this model?

The researchers proposed that repetitive transcranial magnetic stimulation (rTMS) could act as a perturbation. This means it might help increase flexibility between the three main brain networks, which could potentially lead to more durable recovery for those dealing with chronic pain.

Is this new theory enough to change current treatments?

Not yet. Because this is a narrative review and a theoretical framework, it does not contain clinical trial data or evidence of success in patients. It is currently used to help researchers understand the problem so they can design better integrated treatments in the future.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedJun 2026
View Original Abstract ↓
Chronic pain is increasingly understood as a disorder of large-scale brain network organisation rather than a direct consequence of persistent nociceptive input. Neuroimaging studies have consistently identified alterations in the salience network (SN), default mode network (DMN), and central executive network (CEN), suggesting that persistent pain involves disturbances in the dynamic coordination of networks that integrate bodily signals, cognition, and self-related processing. However, prevailing models largely interpret these findings as intrinsic network dysfunction and provide limited explanation for the persistence and variability of pain states. In this narrative review, we propose a state-constrained triple-network model of self-organisation in which interactions among the SN, DMN, and CEN are continuously shaped by organism-level physiological regulation, including sleep organisation, autonomic balance, and interoceptive signalling. Within this framework, chronic pain may emerge when disturbances in physiological regulation bias salience processing toward bodily threat signals and stabilise network configurations that reinforce self-referential pain processing. We further interpret these dynamics within a dynamical systems framework in which persistent pain reflects a stable attractor configuration of triple-network interactions maintained by physiological regulatory constraints. Neuromodulatory interventions such as repetitive transcranial magnetic stimulation (rTMS) may act as perturbations capable of increasing network flexibility, while durable recovery may require restoration of physiological regulation and experiential integration. This framework links network neuroscience, physiological regulation, and the phenomenology of self-experience, providing a multilevel model for understanding the persistence of chronic pain and informing future approaches to integrated treatment.
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