Discriminating Bipolar Disorder from Major Depression Based on SVM-FoBa: Efficient Feature Selection with Multimodal Brain Imaging Data

IEEE Transactions on Autonomous Mental Development

Volumn 7, Issue 4, 2015, Pages 320-331

  Jie, Nan Feng ^a   Zhu, Mao Hu ^b   Ma, Xiao Ying ^d   Osuch, Elizabeth A ^c   Wammes, Michael ^c   Theberge, Jean ^c   Li, Huan Dong ^a   Zhang, Yu ^a   Jiang, Tian Zi ^a   Sui, Jing ^a,e   Calhoun, Vince D ^f  

^a INSTITUTE OF AUTOMATION   (China)

^b JIANGXI NORMAL UNIVERSITY   (China)

^c UNIVERSITY OF WESTERN ONTARIO   (Canada)

^d LANZHOU UNIVERSITY   (China)

^e Shenzhen Fundamental Research Institutions   (China)

^f MSC01 1070   (United States)

Author keywords

Bipolar disorder; classification; feature selection; major depression; Multimodal fusion

Indexed keywords

BIOMARKERS; BRAIN MAPPING; COMPLEX NETWORKS; FEATURE EXTRACTION; MAGNETIC RESONANCE IMAGING; NEUROIMAGING; SUPPORT VECTOR MACHINES;

BIPOLAR DISORDER; DISCRIMINATIVE FEATURES; EFFICIENT FEATURE SELECTIONS; LINEAR SUPPORT VECTOR MACHINES; MAJOR DEPRESSIONS; MAJOR DEPRESSIVE DISORDER (MDD); MULTI-MODAL FUSION; RESTING-STATE FUNCTIONAL MAGNETIC RESONANCE IMAGING;

CLASSIFICATION (OF INFORMATION);

EID: 84961801436     PISSN: 19430604     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAMD.2015.2440298     Document Type: Article

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