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Conference Paper: Time-varying correlation coefficients estimation and its application to dynamic connectivity analysis of fMRI

TitleTime-varying correlation coefficients estimation and its application to dynamic connectivity analysis of fMRI
Authors
KeywordsMedical sciences
Computer applications
Issue Date2013
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000269
Citation
The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), Osaka, Japan, 3-7 July 2013. In IEEE Engineering in Medicine and Biology Society Conference Proceedings, 2013, p. 2944-2947 How to Cite?
AbstractExploration of the dynamics of functional brain connectivity based on the correlation coefficients of functional magnetic resonance imaging (fMRI) data is important for understanding the brain mechanisms. Because fMRI data are time-varying in nature, the functional connectivity shows substantial fluctuations and dynamic characteristics. However, an effective method for estimating time-varying functional connectivity is lacking, which is mainly due to the difficulty in choosing an appropriate window to localize the time-varying correlation coefficients (TVCC). This paper introduces a novel method for adaptively estimating the TVCC of non-stationary signals and studies its application to infer dynamic functional connectivity of fMRI data in a visual task. The proposed method employs a sliding window having a certain bandwidth to estimate the TVCC locally and the window bandwidths are selected adaptively by a local plug-in rule to minimize the mean squared error. The results show that the functional connectivity changes in the visual task are transient, which suggests that simply assuming sustained connectivity changes during task period might not be sufficient to capture dynamic connectivity changes induced by tasks.
Persistent Identifierhttp://hdl.handle.net/10722/189877
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorFu, Zen_US
dc.contributor.authorDi, Xen_US
dc.contributor.authorChan, SCen_US
dc.contributor.authorHung, YSen_US
dc.contributor.authorBiswal, BBen_US
dc.contributor.authorZhang, Zen_US
dc.date.accessioned2013-09-17T15:01:03Z-
dc.date.available2013-09-17T15:01:03Z-
dc.date.issued2013en_US
dc.identifier.citationThe 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), Osaka, Japan, 3-7 July 2013. In IEEE Engineering in Medicine and Biology Society Conference Proceedings, 2013, p. 2944-2947en_US
dc.identifier.isbn978-1-4577-0216-7-
dc.identifier.issn1557-170X-
dc.identifier.urihttp://hdl.handle.net/10722/189877-
dc.description.abstractExploration of the dynamics of functional brain connectivity based on the correlation coefficients of functional magnetic resonance imaging (fMRI) data is important for understanding the brain mechanisms. Because fMRI data are time-varying in nature, the functional connectivity shows substantial fluctuations and dynamic characteristics. However, an effective method for estimating time-varying functional connectivity is lacking, which is mainly due to the difficulty in choosing an appropriate window to localize the time-varying correlation coefficients (TVCC). This paper introduces a novel method for adaptively estimating the TVCC of non-stationary signals and studies its application to infer dynamic functional connectivity of fMRI data in a visual task. The proposed method employs a sliding window having a certain bandwidth to estimate the TVCC locally and the window bandwidths are selected adaptively by a local plug-in rule to minimize the mean squared error. The results show that the functional connectivity changes in the visual task are transient, which suggests that simply assuming sustained connectivity changes during task period might not be sufficient to capture dynamic connectivity changes induced by tasks.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000269-
dc.relation.ispartofIEEE Engineering in Medicine and Biology Society Conference Proceedingsen_US
dc.rightsIEEE Engineering in Medicine and Biology Society. Conference Proceedings. Copyright © IEEE.-
dc.rights©2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectMedical sciences-
dc.subjectComputer applications-
dc.titleTime-varying correlation coefficients estimation and its application to dynamic connectivity analysis of fMRIen_US
dc.typeConference_Paperen_US
dc.identifier.emailChan, SC: ascchan@hkucc.hku.hken_US
dc.identifier.emailHung, YS: yshung@eee.hku.hken_US
dc.identifier.emailZhang, Z: zgzhang@eee.hku.hken_US
dc.identifier.authorityChan, SC=rp00094en_US
dc.identifier.authorityHung, YS=rp00220en_US
dc.identifier.authorityZhang, Z=rp01565en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/EMBC.2013.6610157-
dc.identifier.pmid24110344-
dc.identifier.hkuros223281en_US
dc.identifier.spage2944-
dc.identifier.epage2947-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 131024-

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