Related Experiment Video
Updated: Oct 5, 2025

Method for Simultaneous fMRI/EEG Data Collection during a Focused Attention Suggestion for Differential Thermal Sensation
Published on: January 5, 2014
Taxometric evidence for a dimensional latent structure of hypnotic suggestibility
Mikhail Reshetnikov1, Devin B Terhune2
1Institute for Cognitive Neuroscience, HSE University, 20 Myasnitskaya street, Moscow 101000, Russia.
Abstract:
Hypnotic suggestibility denotes a capacity to respond to direct verbal suggestions in an involuntary manner. Most research on responsiveness to hypnotic suggestions has focused on highly suggestible individuals but it remains unclear whether these individuals constitute a discrete subgroup (taxon) characterized by a distinct mode of responding from the remainder of the population or whether hypnotic suggestibility is better modelled as a dimensional ability. In this study, we applied taxometric analysis, a method for distinguishing between dimensional and categorical models of a psychological ability, to behavioural and involuntariness subscale scores of the Harvard Group Scale of Hypnotic Susceptibility Scale: Form A (HGSHS:A) in a non-clinical sample (N = 584). Analyses of HGSHS:A subscale scores with different a priori taxon base rates yielded consistent evidence for a dimensional structure. These results suggest that hypnotic suggestibility is dimensional and have implications for current understanding of individual differences in responsiveness to direct verbal suggestions.
Related Concept Videos
Implicit Personality Theories
Subliminal Perception
Altered States of Awareness
The ingestion of substances like stimulants or hallucinogens leads to chemical alterations in the brain...
Sedatives and Hypnotics: Overview
Sedative-hypnotics are categorized into barbiturates, benzodiazepines (BZDs), and non-benzodiazepines or Z-drugs. These drugs work by suppressing central nervous system activity, and this suppression is dose-dependent. Older sedative medications, like barbiturates, follow a linear curve in...

