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Identifying inter-individual differences in pain threshold using brain connectome: a test-retest reproducible study.

Yiheng Tu1, Binlong Zhang1, Jin Cao1

  • 1Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.

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Brain connectivity patterns are unique to individuals and can predict pain sensitivity. This research explores the brain

Keywords:
Inter-individual variabilityNeural traitPain thresholdWithin-individual stabilityfMRI brain connectome

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Area of Science:

  • Neuroscience
  • Pain Research
  • Brain Imaging

Background:

  • Individual differences in pain sensitivity are well-documented.
  • The neural basis of these inter-individual differences in pain perception remains largely unknown.
  • Understanding these differences is crucial for personalized pain management.

Purpose of the Study:

  • To investigate the relationship between intrinsic brain functional connectivity and individual pain thresholds.
  • To determine if brain connectome profiles can serve as a 'neural trait' for pain behavior.
  • To explore the potential for personalized pain assessment using neuroimaging.

Main Methods:

  • Longitudinal resting-state functional magnetic resonance imaging (fMRI) in 24 healthy subjects over four sessions.
  • Measurement of pain thresholds using heat and pressure stimuli across different body locations.
  • Multivariate pattern analysis of brain functional connectivity to predict pain thresholds.

Main Results:

  • Significant inter-individual variability and within-individual stability in pain thresholds were observed.
  • Resting-state functional connectivity profiles reliably identified individuals across multiple sessions, suggesting intrinsic uniqueness.
  • Brain connectivity patterns, particularly within medial-frontal and frontoparietal networks, accurately predicted individual pain thresholds.

Conclusions:

  • Resting-state fMRI connectomes can serve as a 'neural trait' to characterize individual pain-related behaviors.
  • These findings highlight the potential for using brain connectivity to develop personalized clinical pain assessments.
  • This approach may pave the way for more tailored pain management strategies.