Decreased triple network connectivity in patients with post-traumatic stress disorder

Yang Liu; Liang Li; Baojuan Li; Xi Zhang; Hongbing Lu

doi:10.1117/12.2254367

13 March 2017 Decreased triple network connectivity in patients with post-traumatic stress disorder

Yang Liu, Liang Li, Baojuan Li, Xi Zhang, Hongbing Lu

Proceedings Volume 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging; 101370Q (2017) https://doi.org/10.1117/12.2254367
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

The triple network model provides a common framework for understanding affective and neurocognitive dysfunctions across multiple disorders, including central executive network (CEN), default mode network (DMN), and salience network (SN). Considering the effect of traumatic experience on post-traumatic stress disorder (PTSD), this study aims to explore the alteration of triple network connectivity in a specific PTSD induced by a single prolonged trauma exposure. With arterial spin labeling sequence, three networks were identified using independent component analysis in 10 PTSD patients and 10 healthy survivors, who experienced the same coal mining flood disaster. In PTSD patients, decreased connectivity was identified in left middle frontal gyrus of CEN, left precuneus and bilateral superior frontal gyrus of DMN, and right anterior insula of SN. The decreased connectivity in left middle frontal gyrus was identified to associate with clinical severity. These results indicated the decreased triple network connectivity, which not only supported the proposal of the triple network model, but also prompted possible neurobiology mechanism of cognitive dysfunction for this kind of PTSD.

Conference Presentation

Citation Download Citation

Yang Liu, Liang Li, Baojuan Li, Xi Zhang, and Hongbing Lu "Decreased triple network connectivity in patients with post-traumatic stress disorder", Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101370Q (13 March 2017); https://doi.org/10.1117/12.2254367

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