Insomnia disorder diagnosed by resting-state fMRI-based SVM classifier.

Journal: Sleep medicine
Published Date: Jul 1, 2022

Abstract

BACKGROUND: The main classification systems of sleep disorders are based on the subjective self-reported criteria. Objective measures are essential to characterize the nocturnal sleep disturbance, identify daytime impairment, and determine the course of these symptoms. The aim of this study was to establish a resting-state fMRI-based support vector machine (SVM) classifier to diagnose insomnia disorder.

Authors

  • Dongmei He
    Department of Neurology, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, 637000, Sichuan, China.
  • Dongmei Ren
    Department of Psychology, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, 637000, Sichuan, China.
  • Zhiwei Guo
    School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, 400067, China. Electronic address: zwguo@ctbu.edu.cn.
  • Binghu Jiang
    Institute of Brain Function, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, 637000, Sichuan, China. Electronic address: fskjbh@126.com.

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