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Identifying resting state differences salient for resilience to chronic pain based on machine learning multivariate

Beibei You1,2, Hongwei Wen1, Todd Jackson3

  • 1Key Laboratory of Cognition and Personality (Ministry of Education), Faculty of Psychology, Southwest University, Chongqing, China.

Psychophysiology
|August 12, 2021
PubMed
Summary

Neurophysiological differences in resting-state brain activity distinguish resilient adults with chronic pain. Specific brain regions identified may serve as biomarkers for pain resilience.

Keywords:
chronic painmultiple kernel learningresilienceresting state MRI

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Area of Science:

  • Neuroscience
  • Psychology
  • Medical Imaging

Background:

  • Behavioral differences between resilient and less resilient chronic pain (CP) individuals are known.
  • Underlying neurophysiological distinctions remain largely unexplored.

Purpose of the Study:

  • To identify brain regions where resting-state (Rs) activity differentiates resilient from less resilient chronic pain subgroups.
  • To explore neurophysiological biomarkers for chronic pain resilience.

Main Methods:

  • Utilized multiple kernel learning (MKL) on resting-state functional MRI data from individuals with chronic musculoskeletal pain.
  • Assessed Rs activity using amplitude of low frequency fluctuations (ALFF), fractional ALFF (fALFF), and regional homogeneity (ReHo).
  • Compared single-modality versus multi-modal classification accuracy.

Main Results:

  • Multi-modal classification using fALFF and ReHo achieved 79% accuracy in distinguishing subgroups, outperforming single modalities.
  • Key discriminative brain regions are involved in pain processing, reward, executive function, emotion regulation, and mood disorders.
  • Identified distinct patterns of Rs activity correlating with resilience levels.

Conclusions:

  • Resting-state brain activity patterns can discriminate between individuals with varying resilience to chronic pain.
  • Specific neurophysiological markers identified may predict or indicate resilience in chronic pain populations.
  • This research opens avenues for understanding the neural basis of pain resilience.