A biobank for complex post-traumatic stress disorder (C-PTSD) and PTSD: study protocol for a cross-sectional study

<b>Background</b> Complex Post-Traumatic Stress Disorder (C-PTSD) is a severe mental illness recently defined in the International Classification of Diseases 11th edition. In addition to the classic PTSD symptoms of avoidance, re-experiencing, and hypervigilance, it includes disturbances in emotion regulation, negative self-concept, and interpersonal relationships. Emerging evidence suggests C-PTSD has distinct neurobiological profiles compared to PTSD, but comprehensive investigations are lacking. This study aims to explore the neural mechanisms associated with C-PTSD, identifying distinct and shared brain alterations in C-PTSD and PTSD, while establishing a biobank incorporating neuroimaging, inflammatory, physiological, genetic, and psychosocial measures.<b>Methods</b> This cross-sectional study will compare three groups: individuals with C-PTSD (<i>n</i> = 40), PTSD (<i>n</i> = 30), and trauma-exposed healthy controls (<i>n</i> = 30). During a single visit, participants will undergo MRI scanning including structural, diffusion-weighted, resting-state, and task-based functional MRI. Blood samples will be collected for inflammatory marker analysis, and Genome-Wide Association Studies (GWAS). Participants will complete validated psychosocial self-report measures assessing trauma history, resilience, social support, emotion regulation, sleep quality, and mental health symptoms. Additionally, participants will wear an Actigraph smart watch for seven days to collect actigraphy-derived physiological data, including sleep patterns and heart rate variability. All de-identified data will be made openly available on the Open Science Framework upon publication of the main study findings, in accordance with ethical approvals and institutional guidelines for privacy and data security.<b>Conclusion</b> This comprehensive protocol addresses significant gaps in understanding C-PTSD through its multimodal approach. By comparing C-PTSD, PTSD, and trauma-exposed controls, the study aims to identify neurobiological markers specific to C-PTSD, potentially supporting its diagnostic distinction and informing targeted treatment approaches. Integrating neuroimaging, inflammatory, genetic, and psychophysiological measures acknowledges the complex interactions between biological systems in trauma responses. Findings may help inform future research on personalized intervention strategies by identifying potential biological profiles and resilience factors associated with trauma-related outcomes.

Authors

Institutions

Publication Details

Journal
European Journal of Psychotraumatology
Published
2025-08-12
DOI
https://doi.org/10.1080/20008066.2025.2538906
Citations
1
Primary Topic
Posttraumatic Stress Disorder Research
Type
article
Field-Weighted Citation Impact
2.31

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A biobank for complex post-traumatic stress disorder (C-PTSD) and PTSD: study protocol for a cross-sectional study

Lena Oestreich, Aerin Sum Yin Mok, Chrystal Douflias
1 citations
European Journal of Psychotraumatology
Posttraumatic Stress Disorder Research
2.31
article

A biobank for complex post-traumatic stress disorder (C-PTSD) and PTSD: study protocol for a cross-sectional study

Lena Oestreich, Aerin Sum Yin Mok, Chrystal Douflias
article en
1 citations

Abstract

<b>Background</b> Complex Post-Traumatic Stress Disorder (C-PTSD) is a severe mental illness recently defined in the International Classification of Diseases 11th edition. In addition to the classic PTSD symptoms of avoidance, re-experiencing, and hypervigilance, it includes disturbances in emotion regulation, negative self-concept, and interpersonal relationships. Emerging evidence suggests C-PTSD has distinct neurobiological profiles compared to PTSD, but comprehensive investigations are lacking. This study aims to explore the neural mechanisms associated with C-PTSD, identifying distinct and shared brain alterations in C-PTSD and PTSD, while establishing a biobank incorporating neuroimaging, inflammatory, physiological, genetic, and psychosocial measures.<b>Methods</b> This cross-sectional study will compare three groups: individuals with C-PTSD (<i>n</i> = 40), PTSD (<i>n</i> = 30), and trauma-exposed healthy controls (<i>n</i> = 30). During a single visit, participants will undergo MRI scanning including structural, diffusion-weighted, resting-state, and task-based functional MRI. Blood samples will be collected for inflammatory marker analysis, and Genome-Wide Association Studies (GWAS). Participants will complete validated psychosocial self-report measures assessing trauma history, resilience, social support, emotion regulation, sleep quality, and mental health symptoms. Additionally, participants will wear an Actigraph smart watch for seven days to collect actigraphy-derived physiological data, including sleep patterns and heart rate variability. All de-identified data will be made openly available on the Open Science Framework upon publication of the main study findings, in accordance with ethical approvals and institutional guidelines for privacy and data security.<b>Conclusion</b> This comprehensive protocol addresses significant gaps in understanding C-PTSD through its multimodal approach. By comparing C-PTSD, PTSD, and trauma-exposed controls, the study aims to identify neurobiological markers specific to C-PTSD, potentially supporting its diagnostic distinction and informing targeted treatment approaches. Integrating neuroimaging, inflammatory, genetic, and psychophysiological measures acknowledges the complex interactions between biological systems in trauma responses. Findings may help inform future research on personalized intervention strategies by identifying potential biological profiles and resilience factors associated with trauma-related outcomes.

European Journal of PsychotraumatologyVol. 16(1)
Australian Research Council (AU), The University of Queensland (AU), ARC Centre of Excellence in Advanced Molecular Imaging (AU)
National Health and Medical Research Council
Openalex Percentile: Top 12%
Posttraumatic Stress Disorder Research
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.