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01 · ABSTRACT

Abstract

This paper examines the current problems in understanding and conceptualizing the “personalities” of individuals with dissociate identity disorder while seeking a biological correlation of these personalities. First, the current theoretical ambiguity and potential problems regarding how we understand personalities in dissociate identity disorder are delineated by examining current international diagnostic criteria and views proposed by leading experts on the topic. The general trend is not to acknowledge each personality as having an independent sense of self, but rather a partial and fragmentary one, which does not seem to match well with its clinical manifestations. The author subsequently proposes that each personality has an independent neurological correlate, a neural network integrated as a dynamic core, as proposed by G. Edelman and G. Tononi. Although their theory is not designed to explicate personalities in dissociate identity disorder, the biological correlates of the personalities might be approximated to a coexistence of multiple dynamic cores, which was predicted by them, and partially exemplified by brain functions in split-brain experiments. The author then draws on the current understanding of the mirror neuron system discovered by G. Rizzolatti, V. Gallese, et al., which forms a basis for the understanding of how our sense of self is formed. They propose that the potential dysfunction of the mirror neuron system in a traumatic and critical situation might explain how different personalities are formed. Finally, the article discusses how these advances might be incorporated into our understanding and treatment of individuals with dissociate identity disorder.

 

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02 · PUBLICATION RECORD

Article details

JournalMedical Research Archives
IssueVol 10 No 12 (2022): December issue, Vol.10 Issue 12
SectionResearch Articles
Published21 December 2022
DOI10.18103/mra.v10i12.3390
ISSN2375-1924
03 · RIGHTS & REUSE

Rights & reuse

This article is published under a Creative Commons Attribution License (CC BY 3.0) and may be shared or distributed by anyone as long as attribution is given to the journal.

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