Hypnosis-Based Machine Learning Biomarker Study
NCT07102810 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 50
Last updated 2025-09-16
Summary
This study seeks to contribute to the growing body of literature on hypnosis by providing robust, data-driven insights into the physiological mechanisms underlying trance states. The integration of electroencephalogram (EEG) and other wearable-derived physiological data will offer a comprehensive assessment of the changes that occur during a standardized hypnosis protocol: the Harvard Group Scale of Hypnotic Susceptibility (HGSHS:A). The results of this study are intended to facilitate derivation and validation of an Artificial Intelligence/Machine Learning (AI/ML)-based monitor that quantifies a patient's instantaneous emotional/arousal state along the spectrum that spans anxiety through states of calmness and trance. Future investigations will explore the ability of using such an interactive virtual system as a component of a closed-loop adaptive device to create optimal states of non-pharmacological sedation using personalized audiovisual content to allay anxiety and discomfort during medical procedures, such as percutaneous biopsies.
Conditions
- Disorder; Trance
- Anxiety
Interventions
- BEHAVIORAL
-
Standardized Hypnotic Susceptibility Testing
Participants will be guided through the Harvard Group Scale of Hypnotic Susceptibility: Form A (HGSHS:A), a validated group hypnosis protocol that includes standardized hypnotic inductions and suggestibility tasks.
Sponsors & Collaborators
-
Entrancing Entertainment, Inc.
collaborator UNKNOWN -
Icahn School of Medicine at Mount Sinai
lead OTHER
Principal Investigators
-
David L Reich, MD · Icahn School of Medicine at Mount Sinai Hospital
Study Design
- Allocation
- NA
- Purpose
- SUPPORTIVE_CARE
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-08-04
- Primary Completion
- 2025-09-09
- Completion
- 2025-09-09
Countries
- United States
Study Locations
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