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https://hdl.handle.net/1959.11/53952
Title: | Past and Future Explanations for Depersonalization and Derealization Disorder: A Role for Predictive Coding | Contributor(s): | Gatus, Andrew (author); Jamieson, Graham (author) ; Stevenson, Bruce (author) | Publication Date: | 2022-03-07 | Open Access: | Yes | DOI: | 10.3389/fnhum.2022.744487 | Handle Link: | https://hdl.handle.net/1959.11/53952 | Abstract: | Depersonalization (DP) and derealization (DR) refer to states of dissociation in which one feels a sense of alienation in relation to one's self and environment, respectively. Whilst transient episodes often diminish without treatment, chronic experiences of DP and DR may last for years, with common treatments lacking a strong evidence base for their efficacy. We propose a theoretical explanation of DP and DR based on interoceptive predictive coding, and discuss how transient experiences of DP and DR may be induced in the non-clinical population using virtual reality. Further, we review the use of heartbeat evoked potentials in detecting the neural correlates of DP and DR allowing for an objective measure of these experiences in the non-clinical population. Finally, we discuss how the induction and detection of transient experiences of DP and DR in the non-clinical population could shed light on how the brain constructs one’s sense of self and reality. | Publication Type: | Journal Article | Source of Publication: | Frontiers in Human Neuroscience, v.16, p. 1-14 | Publisher: | Frontiers Research Foundation | Place of Publication: | Switzerland | ISSN: | 1662-5161 | Fields of Research (FoR) 2020: | 520203 Cognitive neuroscience 520301 Clinical neuropsychology 520406 Sensory processes, perception and performance |
Socio-Economic Objective (SEO) 2020: | 280121 Expanding knowledge in psychology | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article School of Psychology |
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openpublished/PastGatusJamiesonStevenson2022JournalArticle.pdf | Published version | 599.35 kB | Adobe PDF Download Adobe | View/Open |
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