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Abnormal Enhanced Gamma Synchronization in the Default Mode Network Associated With Chronic Pain.

Zhaoshun Jiang1,2, Fei Tao1, Feidong Lv1

  • 1Department of Anesthesiology, Huadong Hospital, Fudan University, Shanghai, China.

European Journal of Neurology
|October 10, 2025
PubMed
Summary

Chronic pain involves altered brain activity, specifically increased gamma synchronization in the default mode network (DMN). This DMN gamma synchronization shows potential as a neural marker for chronic pain diagnosis.

Keywords:
chronic paindefault mode networkdynamic functional connectivityelectroencephalographygamma synchronization

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Area of Science:

  • Neuroscience
  • Neurophysiology
  • Medical Imaging

Background:

  • Chronic pain mechanisms are not fully understood.
  • Persistent pain impacts millions globally.
  • Neural signatures of chronic pain require identification.

Purpose of the Study:

  • Investigate brain oscillations and connectivity in chronic pain.
  • Identify neural signatures for chronic pain diagnosis.
  • Explore the role of the default mode network (DMN) in chronic pain.

Main Methods:

  • Analyzed electroencephalography (EEG) data from 42 chronic pain patients and 42 controls.
  • Utilized network-based statistics for connectivity analysis.
  • Employed machine learning to assess neural signatures as biomarkers.

Main Results:

  • Chronic pain patients showed decreased high-frequency power but enhanced gamma synchronization.
  • Increased gamma synchronization within the DMN was observed, particularly in a state with stronger intra-cingulate connections.
  • A machine learning model achieved 75.5% accuracy in differentiating patients from controls using DMN connectivity features.

Conclusions:

  • Enhanced DMN gamma synchronization is crucial in chronic pain pathophysiology.
  • DMN gamma synchronization may serve as a valuable neural marker for chronic pain.
  • This study offers new insights into the neural underpinnings of chronic pain.