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Related Experiment Video

Updated: Jun 6, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

Dissociative states and neural complexity.

Petr Bob¹, Miroslav Svetlak

¹Center for Neuropsychiatric Research of Traumatic Stress, Department of Psychiatry & UHSL, 1st Faculty of Medicine, Charles University, Prague, Czech Republic. petrbob@netscape.net

Brain and Cognition

|December 15, 2010

Summary

Dissociative symptoms in university students may be linked to electrodermal activity complexity during rest. This study explored neural complexity, dissociation, and stress, finding electrodermal complexity a potential indicator of dissociative symptoms.

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Use of a Psychophysiological Script-driven Imagery Experiment to Study Trauma-related Dissociation in Borderline Personality Disorder

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Published on: March 8, 2018

Area of Science:

Neuroscience
Psychophysiology
Consciousness Studies

Background:

Neural mechanisms of consciousness involve integrating distributed neural assemblies.
Stressful experiences can disrupt neural integration, leading to dissociation.
Dissociation may represent a state of neural disintegration quantified by neural complexity.

Purpose of the Study:

To investigate the relationship between neural complexity and dissociative symptoms.
To examine the role of electroencephalography (EEG) and electrodermal activity (EDA) complexity in reflecting dissociation.
To assess the impact of stress and task conditions on these relationships.

Main Methods:

Measured dissociation, traumatic stress symptoms, and neural complexity (using pointwise correlation dimension - PD2) in 52 university students.
Analyzed EEG complexity during rest.
Analyzed EDA complexity during rest and a Stroop task.

Main Results:

No significant relationship was found between EEG complexity and dissociative symptoms.
A significant relationship was observed between EDA complexity and dissociative symptoms during rest.
This EDA complexity-dissociation link was not significant during the Stroop task.

Conclusions:

Electrodermal complexity during rest may serve as a potential biomarker for dissociative symptoms.
Neural complexity, particularly from EDA, offers insights into the psychophysiological underpinnings of dissociation.
Findings suggest distinct neural correlates for dissociation depending on cognitive load or task engagement.