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Conference Paper: Brain connectivity during the processing of nouns and verbs: a dynamic Bayesian network analysis

TitleBrain connectivity during the processing of nouns and verbs: a dynamic Bayesian network analysis
Authors
Qiu, DNgan, SSCTan, LHChan, AHMak, HKKhong, PL
Issue Date2008
PublisherInternational Society for Magnetic Resonance in Medicine.
Citation
The 16th Annual Scientific Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2008), Toronto, ON., Canada, 3-9 May 2008. How to Cite?
AbstractDynamic Bayesian network was used to study the connections among the brain regions activated during processing of nouns and verbs. Under simplifying assumptions, we arrived at a dynamic Bayesian network learning algorithm with reduced time complexity, which allowed us to test all possible connectivity models exhaustively and choose the best model based on the Bayesian information criterion (BIC) score. We found a posterior to anterior flow of processing of both nouns and verbs. The left medial frontal gyrus was found to play an important role in the network. For verb processing, strong involvements of motor cortex and cerebellum were found.
Persistent Identifierhttp://hdl.handle.net/10722/98736

 

DC FieldValueLanguage
dc.contributor.authorQiu, Den_HK
dc.contributor.authorNgan, SSCen_HK
dc.contributor.authorTan, LHen_HK
dc.contributor.authorChan, AHen_HK
dc.contributor.authorMak, HKen_HK
dc.contributor.authorKhong, PLen_HK
dc.date.accessioned2010-09-25T18:00:08Z-
dc.date.available2010-09-25T18:00:08Z-
dc.date.issued2008en_HK
dc.identifier.citationThe 16th Annual Scientific Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2008), Toronto, ON., Canada, 3-9 May 2008.-
dc.identifier.urihttp://hdl.handle.net/10722/98736-
dc.description.abstractDynamic Bayesian network was used to study the connections among the brain regions activated during processing of nouns and verbs. Under simplifying assumptions, we arrived at a dynamic Bayesian network learning algorithm with reduced time complexity, which allowed us to test all possible connectivity models exhaustively and choose the best model based on the Bayesian information criterion (BIC) score. We found a posterior to anterior flow of processing of both nouns and verbs. The left medial frontal gyrus was found to play an important role in the network. For verb processing, strong involvements of motor cortex and cerebellum were found.-
dc.languageengen_HK
dc.publisherInternational Society for Magnetic Resonance in Medicine.-
dc.relation.ispartofISMRM 2008 Annual Scientific Meeting & Exhibition Proceedingsen_HK
dc.titleBrain connectivity during the processing of nouns and verbs: a dynamic Bayesian network analysisen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailQiu, D: dgiu@hku.hken_HK
dc.identifier.emailNgan, SSC: scngan@hkucc.hku.hken_HK
dc.identifier.emailTan, LH: tanlh@hku.hken_HK
dc.identifier.emailKhong, PL: plkhong@hkucc.hku.hken_HK
dc.identifier.authorityKhong, PL=rp00467en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros146925en_HK

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