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Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia.
Qi S, Calhoun VD, van Erp TGM, Bustillo J, Damaraju E, Turner JA, Du Y, Yang J, Chen J, Yu Q, Mathalon DH, Ford JM, Voyvodic J, Mueller BA, Belger A, McEwen S, Potkin SG, Preda A, Jiang T, Sui J. Qi S, et al. IEEE Trans Med Imaging. 2018 Jan;37(1):93-105. doi: 10.1109/TMI.2017.2725306. Epub 2017 Jul 11. IEEE Trans Med Imaging. 2018. PMID: 28708547 Free PMC article.
In human imaging data, working memory performance was utilized as a reference to investigate the co-varying working memory-associated brain patterns among three modalities and how they are impaired in schizophrenia. ...These region …
In human imaging data, working memory performance was utilized as a reference to investigate the co-varying w
Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia.
Shile Qi, Calhoun VD, van Erp TG, Damaraju E, Bustillo J, Yuhui Du, Turner JA, Mathalon DH, Ford JM, Voyvodic J, Mueller BA, Belger A, McEwen S, Potkin SG, Preda A, Birn F, Tianzi Jiang, Jing Sui. Shile Qi, et al. Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:4021-4026. doi: 10.1109/EMBC.2016.7591609. Conf Proc IEEE Eng Med Biol Soc. 2016. PMID: 28269167
Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. ...One joint IC was …
Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alte …
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