The value of multimodal neuroimaging in the diagnosis and treatment of post-traumatic stress disorder: a narrative review.

Journal: Translational psychiatry
Published Date:

Abstract

Post-traumatic stress disorder (PTSD) is a delayed-onset or prolonged persistent psychiatric disorder caused by individuals experiencing an unusually threatening or catastrophic stressful event or situation. Due to its long duration and recurrent nature, unimodal neuroimaging tools such as computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and electroencephalography (EEG) have been widely used in the diagnosis and treatment of PTSD for early intervention. However, as compared with an unimodal approach, a multimodal imaging approach can better capture integrated neural mechanisms underlying the occurrence and development of PTSD, including predisposing factors, changes in neural activity, and physiological mechanisms of symptoms. Moreover, a multimodal neuroimaging approach can aid the diagnosis and treatment of PTSD, facilitate searching for biomarkers at different stages of PTSD, and explore biomarkers for symptomatic improvement. However, at present, the majority of PTSD studies remain unimodal, while the combination of multimodal brain imaging data with machine learning will become an important direction for future research.

Authors

  • Hanyi Zhang
  • Yining Hu
    West China School of Public Health, Sichuan University, Chengdu, China.
  • Yiying Yu
    West China School of Public Health, Sichuan University, Chengdu, China.
  • Zheng Zhou
    State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai 200438, China.
  • Yueru Sun
    West China School of Public Health, Sichuan University, Chengdu, China.
  • Chang Qi
    Institute of Logic and Computation, TU Wien, Austria.
  • Lihua Yang
    Faculty of Drug Control, Yunnan Police College Kunming 650223 China hawkyin2008@126.com.
  • Hua Xie
    Department of Gynecology, Jilin Central General Hospital, Jilin, China.
  • Junran Zhang
    Department of Medical Information Engineering, School of Electrical Engineering and Information, Sichuan University, Chengdu, Sichuan, China. zhangjunran@126.com.
  • Hongru Zhu
    Mental Health Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.

Keywords

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