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Mapping EEG-based hypnosis research: A bibliometric study.

Martaria Rizky Rinaldi1,2, Gilles van Luijtelaar3, Nida Ul Hasanat1

  • 1Gadjah Mada University, Yogyakarta, Indonesia.

The American Journal of Clinical Hypnosis
|August 4, 2025
PubMed
Summary
This summary is machine-generated.

This bibliometric analysis reveals electroencephalography (EEG) is key to understanding hypnosis. Research shows growth in neurophysiological mechanisms, clinical uses, and emerging tech like AI, but calls for standardized EEG methods.

Keywords:
Bibliometric analysisEEGhypnosis

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Area of Science:

  • Neuroscience
  • Psychology

Background:

  • Hypnosis is increasingly studied using electroencephalography (EEG) to understand brain activity.
  • Bibliometric analysis provides insights into research trends and collaborations.

Purpose of the Study:

  • To conduct a bibliometric analysis of EEG-based hypnosis research.
  • To map key trends, contributors, and emerging themes in the field.

Main Methods:

  • Scopus database search on January 24, 2025, yielding 135 publications.
  • Analysis of publication trends, authors, institutions, countries, and journals.
  • VOSviewer used for keyword co-occurrence network analysis.

Main Results:

  • Publication growth observed from 2013-2015, followed by stable growth (2016-2024).
  • Leading countries: US, Germany, Italy, UK. Prominent institutions: Harvard Medical School, University of Washington.
  • Four research clusters identified: neurophysiology, clinical applications, hypnotizability markers, and consciousness/sleep intersections.

Conclusions:

  • Hypnosis is increasingly viewed as a quantifiable neurophysiological process.
  • Methodological inconsistencies in EEG protocols and induction techniques hinder comparability.
  • Future research needs standardization, international collaboration, and advanced neurotechnology integration.