Technical Program

Paper Detail

Paper: PS-1B.14
Session: Poster Session 1B
Location: Symphony/Overture
Session Time: Thursday, September 6, 18:45 - 20:45
Presentation Time:Thursday, September 6, 18:45 - 20:45
Presentation: Poster
Publication: 2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania
Paper Title: Deep Learning Classification Study of First-Episode Treatment-Naïve Schizophrenia Using Brain Cortical Area and Cognitive Features
Manuscript:  Click here to view manuscript
Authors: Yinfei Li, Tao Li, West China Hospital, China
Abstract: Deep learning neural network was for the first time used to discriminate schizophrenia patients from healthy controls. Neuroimaging and coginitive data were accquired as featres. Re-sampling was repeated 100 times and emsemble models were applied. The result show that the classification accuracy is satisfactorily high and robust. And the classification weights show that brain surface area and multiple domains of coginition were of high discriminate value in the disease.