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      Neuroimaging Evidence for Clinical Hypnosis and its Relationship with the Triple Network Model of Psychopathology: An fMRI Perspective

      Preprint
      In review
      research-article
        1 ,
      ScienceOpen Preprints
      ScienceOpen
      Hypnosis, fMRI, large scale brain networks, functional connectivity, suggestibility, hypnotizability
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            Abstract

            Neural correlates of hypnosis remain incompletely characterized despite recognition of its clinical utility. Examining functional connectivity changes in large-scale brain networks during hypnosis can provide insights into cognitive control, dissociation, and self-awareness. This study aimed to review fMRI studies of hypnosis, qualitatively synthesize evidence regarding its impact on brain network connectivity, and offer recommendations for future research by identifying inconsistencies in existing literature and methodology. PubMed, PsycINFO, Scopus and Web of Science and other databases were searched for fMRI studies on hypnosis. Peer-reviewed articles written in English were screened against eligibility criteria. 35 experimental studies met inclusion criteria (n=689 participants). The review found heterogeneous effects on network connectivity during hypnosis, with both increased and decreased connectivity reported depending on suggestions used. Evidence indicates potential therapeutic effects for pain and anxiety, but overall direct clinical support was limited. Preliminary findings suggest hypnosis impacts connectivity between salience/executive control networks, enhancing top-down regulation of interoception and affect. Reduced connectivity was reported within default mode regions involved in internal mentation like the posterior cingulate cortex and precuneus. While the literature exhibits variability in protocols and results, findings indicate that hypnosis exerts top-down influence on internal mentation, attentional control, and emotional processing through altering functional interactions between cortical and subcortical brain regions. Inconsistencies arising from methodological variations and study heterogenity constrain definitive conclusions. Addressing these limitations through standardized protocols and comparisons based on universal large scale brain network taxonomy would strengthen the evidence for neural signature of hypnosis and enhance its applicability in various contexts.

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            Journal
            ScienceOpen Preprints
            ScienceOpen
            6 November 2023
            Affiliations
            [1 ] School of Advanced Education, Research and Accreditation, Castellón (Spain);
            Author notes
            Author information
            https://orcid.org/0009-0007-8227-5073
            Article
            10.14293/PR2199.000480.v1
            90c19f43-dea0-4af8-91f7-339f1e7e00de

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 6 November 2023
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            The datasets generated during and/or analysed during the current study are available in the repository: https://acrobat.adobe.com/link/review?uri=urn:aaid:scds:US:c830d2d1-3c05-3fb2-a874-e5cdb6275143
            Neurosciences
            Hypnosis,fMRI,large scale brain networks,functional connectivity,suggestibility,hypnotizability

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