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Related Experiment Videos

Deciphering neuronal population codes for acute thermal pain.

Zhe Chen1, Qiaosheng Zhang, Ai Phuong Sieu Tong

  • 1Department of Psychiatry, New York University School of Medicine, New York, NY 10016, United States of America. Department of Neuroscience and Physiology, New York University School of Medicine, New York, NY 10016, United States of America.

Journal of Neural Engineering
|April 7, 2017
PubMed
Summary

Researchers decoded acute thermal pain signals using neural activity from rat brains. This approach identifies the onset of pain by analyzing neuronal ensembles in the somatosensory cortex and anterior cingulate cortex.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Pain Research

Background:

  • Pain perception involves complex neural processing beyond spinal and peripheral levels.
  • Understanding neocortical involvement is crucial for a comprehensive view of pain mechanisms.
  • Current research often overlooks the role of brain regions like the neocortex in pain signaling.

Purpose of the Study:

  • To apply a neural decoding approach to identify the onset of acute thermal pain signals.
  • To investigate the physiological basis of pain in the neocortex.
  • To explore the potential for brain-machine interfaces in pain detection.

Main Methods:

  • Recorded ensemble neuronal activities from the primary somatosensory cortex (S1) and anterior cingulate cortex (ACC) in freely behaving rats using micro wire arrays.

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  • Investigated neural codes for acute thermal pain at single-cell and population levels.
  • Developed a novel latent state-space framework to decode S1 and ACC ensemble spike activities for pain signal onset detection.

    • Main Results:

    • A latent state process driving ensemble spike activity was uncovered.
    • A 'neuronal threshold' for acute thermal pain was detected on a single-trial basis.
    • The method demonstrated good sensitivity and specificity in detecting pain onset, suggesting combined S1 and ACC population codes optimize detection.

    Conclusions:

    • This study is the first to detect acute pain signal onset using neuronal ensemble activity.
    • Findings highlight the mechanistic significance of S1 and ACC activity in regulating acute pain onset.
    • The developed neural decoding framework offers a novel approach for studying pain perception and its neural correlates.