Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion

Front Neuroinform. 2018 Apr 26:12:23. doi: 10.3389/fninf.2018.00023. eCollection 2018.

Dong Wen^{1

2}, Zhenhao Wei^{1

2}, Yanhong Zhou³, Guolin Li⁴, Xu Zhang^{1

2}, Wei Han^{1

2}

¹ Department of Software Engineering, School of Information Science and Engineering, Yanshan University, Qinhuangdao, China.
² The Key Laboratory of Software Engineering of Hebei Province, Yanshan University, Qinhuangdao, China.
³ Department of Computer Science and Technology, School of Mathematics and Information Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao, China.
⁴ Department of Educational Technology, College of Education, Hebei Normal University of Science and Technology, Qinhuangdao, China.

No abstract available

Keywords: cognitive impairment; convolutional neural network; deep learning; deep neural network; fMRI; radial basis function network.