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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Muhammad Naveed Iqbal Qureshi, Jooyoung Oh, Dongrae Cho, Hang Joon Jo, Boreom Lee
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Frontiers Media S.A. 2017-09-01
Sarja:Frontiers in Neuroinformatics
Aiheet:
Schizophrenia
COBRE
neuroimaging
global functional connectivity
group ICA
hybrid weighted feature concatenation
Linkit:http://journal.frontiersin.org/article/10.3389/fninf.2017.00059/full

Internet

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

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