Characterizing autism spectrum disorder by deep learning spontaneous brain activity from functional near-infrared spectroscopy.

Journal: Journal of neuroscience methods
PMID: 31794776

Abstract

BACKGROUND: Functional near-infrared spectroscopy (fNIRS) was used to investigate spontaneous hemodynamic fluctuations in the bilateral temporal cortices for typically developing (TD) children and children with autism spectrum disorder (ASD).

Authors

  • Lingyu Xu
    School of Computer Engineering and Science, Shanghai University, Shanghai, China; Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China.
  • Yaya Liu
    School of Computer Engineering and Science, Shanghai University, Shanghai, China. Electronic address: liu_yaya@t.shu.edu.cn.
  • Jie Yu
    Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Key Laboratory of Animal Disease-resistant Nutrition and Feed of China Ministry of Agriculture and Rural Affairs, Key Laboratory of Animal Disease-resistant Nutrition of Sichuan Province, Ya'an, 625014, China.
  • Xinjuan Li
    School of Computer Engineering and Science, Shanghai University, Shanghai, China.
  • Xuan Yu
    School of Computer Engineering and Science, Shanghai University, Shanghai, China.
  • Huiyi Cheng
    South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, China.
  • Jun Li
    Department of Emergency, Zhuhai Integrated Traditional Chinese and Western Medicine Hospital, Zhuhai, 519020, Guangdong Province, China. quanshabai43@163.com.

Keywords

External Resources

Popular Topics
Recent Journals