Cognitive simulation along with neural adaptation explain effects of suggestions: a novel theoretical framework

Hypnosis is an effective intervention with proven efficacy that is employed in clinical settings and for investigating various cognitive processes. Despite their practical success, no consensus exists regarding the mechanisms underlying well-established hypnotic phenomena. Here, we suggest a new fra...

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Vydané v:Frontiers in psychology Ročník 15; s. 1388347
Hlavní autori: Zahedi, Anoushiravan, Lynn, Steven Jay, Sommer, Werner
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Switzerland Frontiers Media S.A 20.06.2024
Predmet:
cognitive simulation
hypnosis
hypnotic suggestions
neural adaptation
Psychology
sensory attenuation
suggestibility
hypnosis
sensory attenuation
neural adaptation
learning
predictive coding model
suggestibility
cognitive simulation
hypnotic suggestions
ISSN:1664-1078, 1664-1078
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Abstract Hypnosis is an effective intervention with proven efficacy that is employed in clinical settings and for investigating various cognitive processes. Despite their practical success, no consensus exists regarding the mechanisms underlying well-established hypnotic phenomena. Here, we suggest a new framework called the Simulation-Adaptation Theory of Hypnosis (SATH). SATH expands the predictive coding framework by focusing on (a) redundancy elimination in generative models using intrinsically generated prediction errors, (b) adaptation due to amplified or prolonged neural activity, and (c) using internally generated predictions as a venue for learning new associations. The core of our treatise is that simulating proprioceptive, interoceptive, and exteroceptive signals, along with the top-down attenuation of the precision of sensory prediction errors due to neural adaptation, can explain objective and subjective hypnotic phenomena. Based on these postulations, we offer mechanistic explanations for critical categories of direct verbal suggestions, including (1) direct-ideomotor, (2) challenge-ideomotor, (3) perceptual, and (4) cognitive suggestions. Notably, we argue that besides explaining objective responses, SATH accounts for the subjective effects of suggestions, i.e., the change in the sense of agency and reality. Finally, we discuss individual differences in hypnotizability and how SATH accommodates them. We believe that SATH is exhaustive and parsimonious in its scope, can explain a wide range of hypnotic phenomena without contradiction, and provides a host of testable predictions for future research.
AbstractList Hypnosis is an effective intervention with proven efficacy that is employed in clinical settings and for investigating various cognitive processes. Despite their practical success, no consensus exists regarding the mechanisms underlying well-established hypnotic phenomena. Here, we suggest a new framework called the Simulation-Adaptation Theory of Hypnosis (SATH). SATH expands the predictive coding framework by focusing on (a) redundancy elimination in generative models using intrinsically generated prediction errors, (b) adaptation due to amplified or prolonged neural activity, and (c) using internally generated predictions as a venue for learning new associations. The core of our treatise is that simulating proprioceptive, interoceptive, and exteroceptive signals, along with the top-down attenuation of the precision of sensory prediction errors due to neural adaptation, can explain objective and subjective hypnotic phenomena. Based on these postulations, we offer mechanistic explanations for critical categories of direct verbal suggestions, including (1) direct-ideomotor, (2) challenge-ideomotor, (3) perceptual, and (4) cognitive suggestions. Notably, we argue that besides explaining objective responses, SATH accounts for the subjective effects of suggestions, i.e., the change in the sense of agency and reality. Finally, we discuss individual differences in hypnotizability and how SATH accommodates them. We believe that SATH is exhaustive and parsimonious in its scope, can explain a wide range of hypnotic phenomena without contradiction, and provides a host of testable predictions for future research.
Hypnosis is an effective intervention with proven efficacy that is employed in clinical settings and for investigating various cognitive processes. Despite their practical success, no consensus exists regarding the mechanisms underlying well-established hypnotic phenomena. Here, we suggest a new framework called the Simulation-Adaptation Theory of Hypnosis (SATH). SATH expands the predictive coding framework by focusing on (a) redundancy elimination in generative models using intrinsically generated prediction errors, (b) adaptation due to amplified or prolonged neural activity, and (c) using internally generated predictions as a venue for learning new associations. The core of our treatise is that simulating proprioceptive, interoceptive, and exteroceptive signals, along with the top-down attenuation of the precision of sensory prediction errors due to neural adaptation, can explain objective and subjective hypnotic phenomena. Based on these postulations, we offer mechanistic explanations for critical categories of direct verbal suggestions, including (1) direct-ideomotor, (2) challenge-ideomotor, (3) perceptual, and (4) cognitive suggestions. Notably, we argue that besides explaining objective responses, SATH accounts for the subjective effects of suggestions, i.e., the change in the sense of agency and reality. Finally, we discuss individual differences in hypnotizability and how SATH accommodates them. We believe that SATH is exhaustive and parsimonious in its scope, can explain a wide range of hypnotic phenomena without contradiction, and provides a host of testable predictions for future research.Hypnosis is an effective intervention with proven efficacy that is employed in clinical settings and for investigating various cognitive processes. Despite their practical success, no consensus exists regarding the mechanisms underlying well-established hypnotic phenomena. Here, we suggest a new framework called the Simulation-Adaptation Theory of Hypnosis (SATH). SATH expands the predictive coding framework by focusing on (a) redundancy elimination in generative models using intrinsically generated prediction errors, (b) adaptation due to amplified or prolonged neural activity, and (c) using internally generated predictions as a venue for learning new associations. The core of our treatise is that simulating proprioceptive, interoceptive, and exteroceptive signals, along with the top-down attenuation of the precision of sensory prediction errors due to neural adaptation, can explain objective and subjective hypnotic phenomena. Based on these postulations, we offer mechanistic explanations for critical categories of direct verbal suggestions, including (1) direct-ideomotor, (2) challenge-ideomotor, (3) perceptual, and (4) cognitive suggestions. Notably, we argue that besides explaining objective responses, SATH accounts for the subjective effects of suggestions, i.e., the change in the sense of agency and reality. Finally, we discuss individual differences in hypnotizability and how SATH accommodates them. We believe that SATH is exhaustive and parsimonious in its scope, can explain a wide range of hypnotic phenomena without contradiction, and provides a host of testable predictions for future research.
Author Sommer, Werner
Zahedi, Anoushiravan
Lynn, Steven Jay
AuthorAffiliation 7 Faculty of Education, National University of Malaysia , Kuala Lumpur , Malaysia
1 Department of Psychology, University of Münster , Münster , Germany
3 Neuroscience Research Center, Charité-Universitätsmedizin Berlin , Berlin , Germany
4 Department of Psychology, Binghamton University , Binghamton, NY , United States
5 Department of Psychology, Zhejiang Normal University , Jinhua , China
6 Department of Physics and Life Science Imaging Center, Hong Kong Baptist University , Kowloon , Hong Kong SAR, China
2 Department of Psychology, Humboldt-Universitaet zu Berlin , Berlin , Germany
AuthorAffiliation_xml – name: 2 Department of Psychology, Humboldt-Universitaet zu Berlin , Berlin , Germany
– name: 5 Department of Psychology, Zhejiang Normal University , Jinhua , China
– name: 1 Department of Psychology, University of Münster , Münster , Germany
– name: 7 Faculty of Education, National University of Malaysia , Kuala Lumpur , Malaysia
– name: 4 Department of Psychology, Binghamton University , Binghamton, NY , United States
– name: 6 Department of Physics and Life Science Imaging Center, Hong Kong Baptist University , Kowloon , Hong Kong SAR, China
– name: 3 Neuroscience Research Center, Charité-Universitätsmedizin Berlin , Berlin , Germany
Author_xml – sequence: 1
  givenname: Anoushiravan
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  givenname: Steven Jay
  surname: Lynn
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  givenname: Werner
  surname: Sommer
  fullname: Sommer, Werner
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Keywords hypnosis
sensory attenuation
neural adaptation
learning
predictive coding model
suggestibility
cognitive simulation
hypnotic suggestions
Language English
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Edited by: Burkhard Peter, University of Bern, Switzerland
ORCID: Anoushiravan Zahedi, https://orcid.org/0000-0002-5532-3910
Derek Martin Smith, Johns Hopkins University, United States
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Snippet Hypnosis is an effective intervention with proven efficacy that is employed in clinical settings and for investigating various cognitive processes. Despite...
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SubjectTerms cognitive simulation
hypnosis
hypnotic suggestions
neural adaptation
Psychology
sensory attenuation
suggestibility
Title Cognitive simulation along with neural adaptation explain effects of suggestions: a novel theoretical framework
URI https://www.ncbi.nlm.nih.gov/pubmed/38966744
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