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DMN network and neurocognitive changes associated with dissociative symptoms in major depressive disorder: a research protocol.

作者信息

Ercan Dogan Asli, Aslan Genc Herdem, Balaç Sinem, Hun Senol Sevin, Ayas Görkem, Dogan Zafer, Bora Emre, Ceylan Deniz, Şar Vedat

机构信息

Department of Psychiatry, School of Medicine, Koç University, Istanbul, Türkiye.

Department of Child and Adolescent Psychiatry, School of Medicine, Koç University, Istanbul, Türkiye.

出版信息

Front Psychiatry. 2025 Apr 1;16:1516920. doi: 10.3389/fpsyt.2025.1516920. eCollection 2025.


DOI:10.3389/fpsyt.2025.1516920
PMID:40236494
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11996865/
Abstract

INTRODUCTION: Depression is a heterogeneous disorder with diverse clinical presentations and etiological underpinnings, necessitating the identification of distinct subtypes to enhance targeted interventions. Dissociative symptoms, commonly observed in major depressive disorder (MDD) and linked to early life trauma, may represent a unique clinical dimension associated with specific neurocognitive deficits. Although emerging research has begun to explore the role of dissociation in depression, most studies have provided only descriptive analyses, leaving the mechanistic interplay between these phenomena underexplored. The primary objective of this study is to determine whether MDD patients with prominent dissociative symptoms differ from those without such symptoms in clinical presentation, neurocognitive performance, and markers of functional connectivity. This investigation will be the first to integrate comprehensive clinical evaluations, advanced neurocognitive testing, and high-resolution brain imaging to delineate the contribution of dissociative symptoms in MDD. METHODS: We will recruit fifty participants for each of three groups: (1) depressive patients with dissociative symptoms, (2) depressive patients without dissociative symptoms, and (3) healthy controls. Diagnostic assessments will be performed using the Structured Clinical Interview for DSM-5 (SCID) alongside standardized scales for depression severity, dissociation, and childhood trauma. Neurocognitive performance will be evaluated through a battery of tests assessing memory, attention, executive function, and processing speed. Structural and functional magnetic resonance imaging (MRI) will be conducted on a 3 Tesla scanner, focusing on the connectivity of the Default Mode Network with key regions such as the orbitofrontal cortex, insula, and posterior cingulate cortex. Data analyses will employ SPM-12 and Matlab-based CONN and PRONTO tools, with multiclass Gaussian process classification applied to differentiate the three groups based on clinical, cognitive, and imaging data. DISCUSSION: The results of this study will introduce a novel perspective on understanding the connection between major depressive disorder and dissociation. It could also aid in pinpointing a distinct form of depression associated with dissociative symptoms and early childhood stressors. CONCLUSION: Future research, aiming to forecast the response to biological and psychological interventions for depression, anticipates this subtype and provides insights.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4bb/11996865/f869e4d18b12/fpsyt-16-1516920-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4bb/11996865/1abea3832677/fpsyt-16-1516920-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4bb/11996865/f869e4d18b12/fpsyt-16-1516920-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4bb/11996865/1abea3832677/fpsyt-16-1516920-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4bb/11996865/f869e4d18b12/fpsyt-16-1516920-g002.jpg

相似文献

[1]
DMN network and neurocognitive changes associated with dissociative symptoms in major depressive disorder: a research protocol.

Front Psychiatry. 2025-4-1

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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Prog Neuropsychopharmacol Biol Psychiatry. 2020-3-8

[8]
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[9]
Decreased functional coupling within default mode network in major depressive disorder with childhood trauma.

J Psychiatr Res. 2022-10

[10]
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Neuroimage Clin. 2020

本文引用的文献

[1]
The co-occurrence of depression and dissociation: The relevance of childhood trauma.

J Psychiatr Res. 2025-3

[2]
Depression, But Not Dissociative Experiences, Predicts Overgeneral Memory: A Systematic Review and Meta-Regression Analysis.

Psychiatry Clin Psychopharmacol. 2022-9-1

[3]
A Cognitive Biotype of Depression and Symptoms, Behavior Measures, Neural Circuits, and Differential Treatment Outcomes: A Prespecified Secondary Analysis of a Randomized Clinical Trial.

JAMA Netw Open. 2023-6-1

[4]
Neurobiological and genetic correlates of the dissociative subtype of posttraumatic stress disorder.

J Psychopathol Clin Sci. 2023-5

[5]
Application of machine learning in predicting the risk of postpartum depression: A systematic review.

J Affect Disord. 2022-12-1

[6]
Neurocognitive deficits in depression: a systematic review of cognitive impairment in the acute and remitted state.

Eur Arch Psychiatry Clin Neurosci. 2023-8

[7]
Treatment-resistant depression and major depression with suicide risk-The cost of illness and burden of disease.

Front Public Health. 2022

[8]
Causal machine learning for healthcare and precision medicine.

R Soc Open Sci. 2022-8-3

[9]
Prevalence and correlates of dissociative symptoms among people with depression.

J Psychiatr Res. 2022-10

[10]
A Machine-Learning-Algorithm-Based Prediction Model for Psychotic Symptoms in Patients with Depressive Disorder.

J Pers Med. 2022-7-26

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