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Updated: Jul 8, 2025

Use of a Psychophysiological Script-driven Imagery Experiment to Study Trauma-related Dissociation in Borderline Personality Disorder
Published on: March 8, 2018
Multiple Personality Disorder or Dissociative Identity Disorder: Etiology, Diagnosis, and Management
Mudit Saxena1, Sachin Tote2, Bhagyesh Sapkale1
1Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Abstract:
Dissociative identity disorder (DID), commonly known as multiple personality disorder (MPD), is a contentious mental health condition that typically arises as a result of traumatic events to help people avoid unpleasant memories. To completely comprehend the complexity and nuance of DID, this study investigates its symptomatology, diagnostic criteria, therapeutic modalities, and historical controversies. Patients with DID frequently have two or more distinct personality identities, each with its memories, characteristics, and attributes. Ten personality disorders are listed in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR), but DID, formerly known as MPD, is not one of those personality disorders. Nevertheless, myths and misunderstandings cloud our knowledge of the disease, and some critics attribute the condition's emergence to therapy rather than trauma. This study emphasizes the possibilities for recovery and fulfilling life for persons affected by DID by attempting to provide a comprehensive understanding of DID, debunk myths and misconceptions, and throw light on effective therapy methods. It accomplishes this by carefully examining the body of literature and existing studies. The DID study used a systematic strategy to obtain a thorough grasp of the causes, diagnosis, symptoms, and therapies of the disorder. It employed precise keywords and Boolean operators across four databases, prioritized current peer-reviewed English-language publications, and enforced strict exclusion standards. While admitting potential biases and limits in the databases used, the research intended to maintain methodological transparency and robustness, helping to provide an accurate and up-to-date picture of DID.
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