Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine

Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine

Multimodal features of structural and functional magnetic resonance imaging (MRI) of the human brain can assist in the diagnosis of schizophrenia. We performed a classification study on age, sex, and handedness-matched subjects. The dataset we used is publicly available from the Center for Biomedica...

Full description

Bibliographic Details
Main Authors: Muhammad Naveed Iqbal Qureshi, Jooyoung Oh, Dongrae Cho, Hang Joon Jo, Boreom Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-09-01
Series:Frontiers in Neuroinformatics
Subjects:
Schizophrenia
COBRE
neuroimaging
global functional connectivity
group ICA
hybrid weighted feature concatenation
Online Access:http://journal.frontiersin.org/article/10.3389/fninf.2017.00059/full

Internet

http://journal.frontiersin.org/article/10.3389/fninf.2017.00059/full

Similar Items