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A correlation network analysis of dissociative experiences.

Adriano Schimmenti1, Vedat Sar2

  • 1a Faculty of Human and Social Sciences , UKE - Kore University of Enna , Enna , Italy.

Journal of Trauma & Dissociation : the Official Journal of the International Society for the Study of Dissociation (ISSD)
|February 5, 2019
PubMed
Summary
This summary is machine-generated.

Understanding dissociative experiences is crucial. Network analysis revealed three clusters of dissociative symptoms, with dissociative amnesia linking them, offering insights into clinical practice.

Keywords:
Dissociationcorrelation network analysisdissociative experience scaledissociative symptoms

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Area of Science:

  • Psychology
  • Psychiatry
  • Network Analysis

Background:

  • Dissociative disorders involve disruptions in subjective experience, memory, and perception.
  • The interrelationships between various dissociative symptoms require further investigation.
  • Previous research has not fully elucidated the structure of dissociative experiences.

Purpose of the Study:

  • To investigate the network structure of dissociative experiences.
  • To identify distinct clusters of symptoms within dissociation.
  • To explore the potential causal relationships among dissociative symptoms.

Main Methods:

  • Utilized correlation network analysis on data from 2274 Italian adults.
  • Applied community detection analysis to identify symptom clusters.
  • Employed Bayesian networks and directed acyclic graphs (DAGs) to model symptom relationships.

Main Results:

  • Identified three distinct clusters of dissociative experiences: trance, experiential disconnectedness, and segregated behaviors.
  • Dissociative amnesia emerged as a common factor across all identified clusters.
  • Network analysis indicated that dissociative experiences form interacting layers of symptoms.

Conclusions:

  • Dissociation can be conceptualized as a complex network of interacting symptoms.
  • Understanding the structure and dynamics of these symptom clusters is vital for clinical practice.
  • This network approach provides a framework for comprehending the internal logic of dissociative processes.