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Article: Improvement of spectral density-based activation detection of event-related fMRI data

TitleImprovement of spectral density-based activation detection of event-related fMRI data
Authors
KeywordsfMRI
Spectral density
Template-free detection
Issue Date2009
PublisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/mri
Citation
Magnetic Resonance Imaging, 2009, v. 27 n. 7, p. 879-894 How to Cite?
AbstractFor event-related data obtained from an experimental paradigm with a periodic design, spectral density at the fundamental frequency of the paradigm has been used as a template-free activation detection measure. In this article, we build and expand upon this detection measure to create an improved, integrated measure. Such an integrated measure linearly combines information contained in the spectral densities at the fundamental frequency as well as the harmonics of the paradigm and in a spatial correlation function characterizing the degree of co-activation among neighboring voxels. Several figures of merit are described and used to find appropriate values for the coefficients in the linear combination. Using receiver-operating characteristic analysis on simulated functional magnetic resonance imaging (fMRI) data sets, we quantify and validate the improved performance of the integrated measure over the spectral density measure based on the fundamental frequency as well as over some other popular template-free data analysis methods. We then demonstrate the application of the new method on an experimental fMRI data set. Finally, several extensions to this work are suggested. © 2009 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/72329
ISSN
2023 Impact Factor: 2.1
2023 SCImago Journal Rankings: 0.647
ISI Accession Number ID
Funding AgencyGrant Number
University of Hong Kong200707176135
Funding Information:

The authors thank the anonymous reviewers for their very helpful suggestions and comments. SCN thanks W. Auffer-mann for past discussions on fMRI data analysis. This research is supported by a University of Hong Kong grant 200707176135 to SCN.

References
Grants

 

DC FieldValueLanguage
dc.contributor.authorNgan, SCen_HK
dc.contributor.authorHu, Xen_HK
dc.contributor.authorTan, LHen_HK
dc.contributor.authorKhong, PLen_HK
dc.date.accessioned2010-09-06T06:40:35Z-
dc.date.available2010-09-06T06:40:35Z-
dc.date.issued2009en_HK
dc.identifier.citationMagnetic Resonance Imaging, 2009, v. 27 n. 7, p. 879-894en_HK
dc.identifier.issn0730-725Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/72329-
dc.description.abstractFor event-related data obtained from an experimental paradigm with a periodic design, spectral density at the fundamental frequency of the paradigm has been used as a template-free activation detection measure. In this article, we build and expand upon this detection measure to create an improved, integrated measure. Such an integrated measure linearly combines information contained in the spectral densities at the fundamental frequency as well as the harmonics of the paradigm and in a spatial correlation function characterizing the degree of co-activation among neighboring voxels. Several figures of merit are described and used to find appropriate values for the coefficients in the linear combination. Using receiver-operating characteristic analysis on simulated functional magnetic resonance imaging (fMRI) data sets, we quantify and validate the improved performance of the integrated measure over the spectral density measure based on the fundamental frequency as well as over some other popular template-free data analysis methods. We then demonstrate the application of the new method on an experimental fMRI data set. Finally, several extensions to this work are suggested. © 2009 Elsevier Inc. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/mrien_HK
dc.relation.ispartofMagnetic Resonance Imagingen_HK
dc.subjectfMRIen_HK
dc.subjectSpectral densityen_HK
dc.subjectTemplate-free detectionen_HK
dc.subject.meshBrain Mapping - methods-
dc.subject.meshEvoked Potentials, Motor - physiology-
dc.subject.meshImage Interpretation, Computer-Assisted - methods-
dc.subject.meshImaging, Three-Dimensional - methods-
dc.subject.meshMagnetic Resonance Imaging - methods-
dc.titleImprovement of spectral density-based activation detection of event-related fMRI dataen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0730-725X&volume=27&issue=7&spage=879&epage=894&date=2009&atitle=Improvement+of+spectral+density-based+activation+detection+of+event-related+fMRI+dataen_HK
dc.identifier.emailTan, LH: tanlh@hku.hken_HK
dc.identifier.emailKhong, PL: plkhong@hkucc.hku.hken_HK
dc.identifier.authorityTan, LH=rp01202en_HK
dc.identifier.authorityKhong, PL=rp00467en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.mri.2009.02.007en_HK
dc.identifier.pmid19535208-
dc.identifier.scopuseid_2-s2.0-68349137960en_HK
dc.identifier.hkuros169956en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-68349137960&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume27en_HK
dc.identifier.issue7en_HK
dc.identifier.spage879en_HK
dc.identifier.epage894en_HK
dc.identifier.isiWOS:000269613000001-
dc.publisher.placeUnited Statesen_HK
dc.relation.projectActivation detection of event-related functional magnetic resonance imaging data and connectivity analysis of cortical regions in baseline and activated states-
dc.identifier.scopusauthoridNgan, SC=6701902948en_HK
dc.identifier.scopusauthoridHu, X=34770364200en_HK
dc.identifier.scopusauthoridTan, LH=7402233462en_HK
dc.identifier.scopusauthoridKhong, PL=7006693233en_HK
dc.identifier.citeulike5373347-
dc.identifier.issnl0730-725X-

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