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Quantifying cerebral contributions to pain beyond nociception.

Choong-Wan Woo1,2, Liane Schmidt3,4, Anjali Krishnan5

  • 1Department of Psychology and Neuroscience, University of Colorado, Boulder, Colorado 80309, USA.

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Researchers identified a brain activity pattern, the stimulus intensity independent pain signature-1 (SIIPS1), that predicts pain beyond physical sensations. This discovery offers new targets for pain interventions.

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Area of Science:

  • Neuroscience
  • Psychology

Background:

  • Cerebral processes significantly influence pain perception beyond nociception.
  • Understanding these non-nociceptive cerebral contributions is crucial for effective pain management.

Purpose of the Study:

  • To develop and validate a brain activity signature that predicts pain independent of nociceptive input.
  • To identify specific brain regions involved in psychological modulation of pain.

Main Methods:

  • Utilized functional magnetic resonance imaging (fMRI) and machine learning to identify the stimulus intensity independent pain signature-1 (SIIPS1).
  • Trained and validated the SIIPS1 signature across multiple independent datasets (N=183 total).

Main Results:

  • The SIIPS1 signature accurately predicted pain ratings, explaining variance not accounted for by nociceptive markers.
  • SIIPS1 activity in regions like the nucleus accumbens and prefrontal cortex was identified.
  • SIIPS1 responses mediated the effects of psychological manipulations on pain perception.

Conclusions:

  • The SIIPS1 provides a novel, extensible characterization of brain activity related to pain perception.
  • Identified specific cerebral targets for developing novel pain interventions that address psychological factors.