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Method for Simultaneous fMRI/EEG Data Collection during a Focused Attention Suggestion for Differential Thermal Sensation
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Interoceptive predictive coding, active inference and the generation of hypnotic suggestion responses.

Graham A Jamieson1

  • 1School of Psychology, Faculty of Medicine and Health, University of New England, Armidale, NSW, Australia.

International Review of Neurobiology
|November 16, 2025
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Summary

Bayesian predictive coding models offer a unified framework for understanding hypnosis mechanisms. This approach generates testable predictions for psychological, physiological, and clinical outcomes in hypnosis research.

Keywords:
Active inferenceDissociated controlExpectancyHypnosisInteroceptive predictive codingSuggestion

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Computational Psychiatry

Background:

  • Hypnosis research benefits from competing theoretical models with testable predictions.
  • Neurocomputational theories are unifying diverse research domains and are entering the field of hypnosis.

Purpose of the Study:

  • To explore Bayesian predictive coding models for understanding hypnotic suggestion mechanisms.
  • To demonstrate predictive coding as a unifying framework for hypnosis theories.
  • To draw testable neurophysiological predictions from these models.

Main Methods:

  • Employing Bayesian predictive coding models.
  • Applying the Active Inference mechanism.
  • Comparing current hypnosis theories (dissociated control, absorption, response expectancy) within the predictive coding framework.

Main Results:

  • Predictive coding provides a framework for multiple, testable explanations of hypnotic responses.
  • Current theories of hypnosis can be modeled within this unifying framework.
  • Active Inference plays a central role in generating distinct neurophysiological predictions.

Conclusions:

  • Bayesian predictive coding offers a robust framework for advancing hypnosis research.
  • This approach facilitates the development of testable hypotheses for psychological and clinical outcomes.
  • It lays the foundation for future research and grant funding in hypnosis and related phenomena.