A predictive study of the efficacy of transcutaneous auricular vagus nerve stimulation in the treatment of major depressive disorder: An fMRI-based machine learning analysis.

Journal: Asian journal of psychiatry
PMID:

Abstract

BACKGROUND: In order to improve taVNS efficacy, the usage of fMRI to explore the predictive neuroimaging markers would be beneficial for screening the appropriate MDD population before treatment.

Authors

  • Jifei Sun
    Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China; Shunyi Hospital, Beijing Hospital of Traditional Chinese Medicine, Beijing 101300, China.
  • Kai Sun
    Department of Materials Science and Engineering, Jinan University.
  • Limei Chen
    Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China; Bao'an Traditional Chinese Medicine Hospital, Shenzhen, Guangdong Province 518133, China.
  • Xiaojiao Li
    Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
  • Ke Xu
    Mechatronics Engineering of University of Electronic Science and Technology of China, Chengdu, 611731, China.
  • Chunlei Guo
    Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
  • Yue Ma
    The School of Civil Engineering, Harbin University, Harbin 150086, China.
  • Jiudong Cao
    Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
  • Guolei Zhang
    Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
  • Yang Hong
    Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
  • Zhi Wang
    Department of Pharmacy, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Shanshan Gao
    Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
  • Yi Luo
    Electrical and Computer Engineering Department, Bioengineering Department, University of California, Los Angeles, CA 90095 USA, and also with the California NanoSystems Institute, University of California, Los Angeles, CA 90095 USA.
  • Qingyan Chen
    Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
  • Weiyi Ye
    College of Artificial Intelligence and Big Data for Medical Sciences & Central Hospital Affiliated to Shandong First Medical University, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province 250021, China.
  • Xue Yu
    Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Xue Xiao
    Guangdong Provincial Key Laboratory of Chemical Measurement and Emergency Test Technology, Guangdong Provincial Engineering Research Center for Ambient Mass Spectrometry, Institute of Analysis, Guangdong Academy of Sciences (China National Analytical Center, Guangzhou), Guangzhou, 510070, China.
  • Peijing Rong
    Institution of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing 100700.
  • Changbin Yu
    Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province 250021, China.
  • Jiliang Fang
    Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China. Electronic address: Fangmgh@163.com.