Explosive synchronization and high-dimensional connectivity in fibromyalgia: A brain network mechanism of chronic pain

Fibromyalgia (FM) is a chronic pain disorder characterized by widespread pain and hypersensitivity, yet its brain network mechanisms remain poorly understood. We investigated the network conditions of explosive synchronization (ES)—a phenomenon of abrupt state transition to hypersensitivity—and its structural underpinnings using topological data analysis (TDA). In this pilot study, we recorded electroencephalography (EEG) in 19 FM patients and 15 healthy controls. We computed ES indices and quantified high-dimensional topological structures using integrated Betti numbers (IBs). FM patients exhibited a significantly stronger ES index at rest ( p < 0.05). In the FM group, ES indexes significantly correlated with clinical outcomes, including symptom severity (e.g., FIQR total score; ρ = 0.602, p < 0.05). The abundance of high-dimensional topological cycles significantly correlated with pain severity (e.g., FIQR score; ρ = 0.590, p < 0.05) and ES strength during evoked pain. Moreover, pain-induced topological changes (|ΔIB|) were positively associated with clinical severity. Our findings suggest that chronic pain in FM is linked to specific alterations in brain network structure, highlighting a strong interplay between high-dimensional topology and ES-prone states. We propose that these features create a topological landscape hindering flexible network integration, thereby facilitating abrupt hypersensitive transitions. These network features may serve as mechanistic indicators for pain severity and represent novel targets for neuromodulation therapies.

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Publication Details

Journal
Scientific Reports
Published
2026-09-01
DOI
https://doi.org/10.1038/s41598-026-67746-w
Primary Topic
Fibromyalgia and Chronic Fatigue Syndrome Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Explosive synchronization and high-dimensional connectivity in fibromyalgia: A brain network mechanism of chronic pain

Pangyu Joo, UnCheol Lee, Tony E. Larkin, R. Harris et al.
Scientific Reports
Fibromyalgia and Chronic Fatigue Syndrome Research
article

Explosive synchronization and high-dimensional connectivity in fibromyalgia: A brain network mechanism of chronic pain

Pangyu Joo, UnCheol Lee, Tony E. Larkin, R. Harris, Joseph Heckman, Alexandre F. DaSilva, Noah Waller, Mina Nielsen
article en

Abstract

Fibromyalgia (FM) is a chronic pain disorder characterized by widespread pain and hypersensitivity, yet its brain network mechanisms remain poorly understood. We investigated the network conditions of explosive synchronization (ES)—a phenomenon of abrupt state transition to hypersensitivity—and its structural underpinnings using topological data analysis (TDA). In this pilot study, we recorded electroencephalography (EEG) in 19 FM patients and 15 healthy controls. We computed ES indices and quantified high-dimensional topological structures using integrated Betti numbers (IBs). FM patients exhibited a significantly stronger ES index at rest ( p < 0.05). In the FM group, ES indexes significantly correlated with clinical outcomes, including symptom severity (e.g., FIQR total score; ρ = 0.602, p < 0.05). The abundance of high-dimensional topological cycles significantly correlated with pain severity (e.g., FIQR score; ρ = 0.590, p < 0.05) and ES strength during evoked pain. Moreover, pain-induced topological changes (|ΔIB|) were positively associated with clinical severity. Our findings suggest that chronic pain in FM is linked to specific alterations in brain network structure, highlighting a strong interplay between high-dimensional topology and ES-prone states. We propose that these features create a topological landscape hindering flexible network integration, thereby facilitating abrupt hypersensitive transitions. These network features may serve as mechanistic indicators for pain severity and represent novel targets for neuromodulation therapies.

Scientific Reports
University of California, Irvine (US), University of Michigan (US), Samueli Institute (US)
National Institutes of Health
Openalex Percentile: Top 10%
Fibromyalgia and Chronic Fatigue Syndrome Research
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