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SYSTEMATIC REVIEW article

Front. Neurosci.

Sec. Brain Imaging Methods

Brain network properties in chronic pain – a systematic review and meta-analysis of graph-based connectivity metrics

Provisionally accepted
Lionel  ButryLionel Butry1*Johanna  ThomäJohanna Thomä1Sigrid  ElsenbruchSigrid Elsenbruch2,3Adriane  IcenhourAdriane Icenhour4Robert  RehmannRobert Rehmann1Elena  Enax-KrumovaElena Enax-Krumova1Lara  SchlaffkeLara Schlaffke1,5
  • 1Department of Neurology, BG University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
  • 2Department of Medical Psychology and Medical Sociology, Ruhr University Bochum, Bochum, Germany
  • 3Department of Neurology, Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
  • 4Department of Affective Neuroscience, Ruhr University Bochum, Bochum, Germany
  • 5BG University Hospital Bergmannsheil, Heimer Institute for Muscle Research, Bochum, Germany

The final, formatted version of the article will be published soon.

Identifying brain topology alterations in chronic pain is a crucial step in understanding its pathophysiology. The primary objective of this systematic review and meta-analysis was to assess alterations in resting-state functional and structural global network properties in patients with chronic pain. Following the preregistration, databases were searched for studies comparing connectivity-based whole-brain global network properties between patients with chronic pain and healthy controls. Risk of bias was assessed using an adapted Newcastle-Ottawa scale. Random-effect meta-analyses were conducted for each global network property separately. A total of 32 functional topology studies and 17 structural topology studies were included in the qualitative review, with 27 functional topology studies and 17 structural topology studies eligible for meta-analysis across nine unique structural and functional global network properties. The number of participants per meta-analysis ranged from 178 to 1592. There was low-certainty evidence that chronic pain patients showed impairments in local efficiency of resting-state functional whole-brain topology (SMD: -0.50, 95%-CI: -0.81 to -0.19, 95%- PI: -1.38 to 0.38), and low to very low-certainty evidence that structural whole-brain topology was not altered in chronic pain across nine global network properties. The heterogeneity was high in the majority of functional (I^2: 1% – 76%) and structural (I^2: 68% – 97%) topology studies. Most functional (50%) and structural (65%) topology studies showed some concern regarding the risk of bias. The meta-analyses indicate that functional but not structural whole-brain topological reorganisation is involved in the pathophysiology of chronic pain.

Keywords: functional connectivity, structural connectivity, graph theory, brain topology, Network analysis, Chronic Pain

Received: 24 Jul 2025; Accepted: 30 Oct 2025.

Copyright: © 2025 Butry, Thomä, Elsenbruch, Icenhour, Rehmann, Enax-Krumova and Schlaffke. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Lionel Butry, lionel.butry@gmail.com

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