Poster No:
689
Submission Type:
Abstract Submission
Authors:
Manjae Kwon1, Jooyeon Im2, Sang Hui Chu3, Woo-Young Ahn2, Young-Chul Jung1
Institutions:
1Department of Psychiatry, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea, 2Department of Psychology, Seoul National University, Seoul, Republic of Korea, 3Department of Nursing, Yonsei University College of Nursing, Seoul, Republic of Korea
First Author:
Manjae Kwon
Department of Psychiatry, Severance Hospital, Yonsei University College of Medicine
Seoul, Republic of Korea
Co-Author(s):
Jooyeon Im
Department of Psychology, Seoul National University
Seoul, Republic of Korea
Sang Hui Chu
Department of Nursing, Yonsei University College of Nursing
Seoul, Republic of Korea
Woo-Young Ahn
Department of Psychology, Seoul National University
Seoul, Republic of Korea
Young-Chul Jung
Department of Psychiatry, Severance Hospital, Yonsei University College of Medicine
Seoul, Republic of Korea
Introduction:
Among refugee populations, both posttraumatic stress disorder (PTSD) and complex PTSD are highly prevalent, yet the neural mechanisms underlying posttraumatic stress symptoms and disturbances of self-organization (DSO) in these groups remain largely unexplored. Identifying the neural correlates of these symptoms in refugees could not only aid in clinical evaluation of individuals at high risk for PTSD but also contribute to a deeper understanding of the disorder.
Methods:
We analyzed the whole-brain resting-state functional connectivity data using connectome-based predictive modeling (CPM) to predict the level of posttraumatic stress symptoms and DSO in 47 North Korean female refugees diagnosed with either PTSD or complex PTSD (PTSD group), as well as 47 North Korean female refugees who experienced trauma but did not develop PTSD or complex PTSD (non-PTSD group). CPM with leave-one-out cross validation was conducted, and posttraumatic stress symptoms and DSO were assessed using the International Trauma Questionnaire (ITQ).
Results:
In the PTSD group, CPM successfully predicted individual levels of posttraumatic stress symptoms in the negative model of functional network connectivity (r = 0.28, P = 0.05), primarily involving the limbic, cerebellum, and parietal areas. However, the positive model did not show significant predictive power (r = 0.16, P = 0.27). Similarly, in the non-PTSD group, the negative model (r = 0.29, P = 0.04), but not the positive model (r = -0.07, P = 0.62), had significant prediction power for PTSD symptoms. While the limbic and cerebellum were shared features contributing to the prediction, the functional connectivity within and between the prefrontal cortex was a unique feature in the non-PTSD group. Moreover, only in the PTSD group, CPM predicted DSO in the positive model (r = 0.36, P = 0.01), primarily encompassing the limbic, cerebellar, and prefrontal areas, while the negative model did not show a meaningful prediction.
Conclusions:
Our findings underscore the pivotal roles of functional connectivity within and between the limbic system, cerebellum, parietal areas, and prefrontal cortex in predicting posttraumatic stress symptoms and DSO. This study sheds light on the shared and unique brain-based features associated with these symptoms in refugee populations.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1
Modeling and Analysis Methods:
Classification and Predictive Modeling
Connectivity (eg. functional, effective, structural) 2
Keywords:
FUNCTIONAL MRI
Psychiatric Disorders
Trauma
1|2Indicates the priority used for review
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