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Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/287
DC FieldValueLanguage
dc.contributor.authorQuang D. D. Nguyenen_US
dc.contributor.authorAn D. Leen_US
dc.contributor.authorBao Q. Phamen_US
dc.contributor.authorNguyen Minh Hienen_US
dc.date.accessioned2020-03-12T16:58:22Z-
dc.date.available2020-03-12T16:58:22Z-
dc.date.issued2017-
dc.identifier.citationhttp://www.colips.org/conferences/icot2017/public.php?page=home.htmlen_US
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/287-
dc.description.abstractHuman brain functional connectivity can be reliably studied with the aid of 1MRI technology. Brain functional network decomposition can be solved by available methods such as Independent Component Analysis (ICA) with independence constraint, Morphological Component Analysis with KSVD dictionary update (MCA-KSVD) with sparsity constraint on spatial components, or constraint-free method PowerFactorization (PF) that has not been applied and known to the fMRI community so far. In the quest for finding methods that are effective for analyzing 1MRI functional networks, this study investigates the effects of various constraints used in the ICA MCA-KSVD and PF methods on the resulting decomposed networks. The observed mutual effects of independence and extreme sparsity constraints experimentally suggest that there is a connection between the two constraints. Specifically, the sparsity constraint in extreme case yields spatially independent components.en_US
dc.language.isoenen_US
dc.subjectSocial implications of technologyen_US
dc.subjectNeurophysiologyen_US
dc.subjectIndependent component analysisen_US
dc.titleEffects of regularization constraints on FMRI brain network source decompositionen_US
dc.typeConference Paperen_US
dc.relation.conference1st International Conference on Orange Technologiesen_US
dc.relation.duration08-10/12/2017en_US
dc.relation.conferencevenueSingaporeen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1other-
Appears in Collections:Conference papers
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