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dcterms.accessRightsAccess limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan through a local library, pending author/copyright holder's permission.
dc.contributor.advisorRoy, Anindya
dc.contributor.departmentMathematics and Statistics
dc.contributor.programStatistics
dc.creatorSgambati, Francis Patrick
dc.date.accessioned2015-10-14T03:11:30Z
dc.date.available2015-10-14T03:11:30Z
dc.date.issued2010-01-01
dc.description.abstractCurrent functional magnetic resonance imaging (fMRI) analysis utilizes a false discover rate (FDR) based on the assumption of independent voxels. Our fMRI general linear model simulation accurately portrays the expected FDR. We hypothesis that spatial and temporal correlation reduces the sensitivity of the analysis. Moreover, the FDR methods become ineffective in properly diagnosing fMRI results. We compared our model with no correlation to assess the effects of various levels of temporal and spatial correlation. Low levels of correlation that have very minimal changes in the simulated hemodynamic response function (HRF) produced similar expected results from using a FDR. High levels of correlations, levels that are realistic variations, produce results that undermine the effectiveness of using the FDR. An increased temporal and spatially correlation of fMRI HRFs reduces the validity of the expected FDR approaches. fMRI image analysis should account for repeated stimulus and adjacent brain activity.
dc.formatapplication/pdf
dc.genretheses
dc.identifierdoi:10.13016/M2S37G
dc.identifier.other10308
dc.identifier.urihttp://hdl.handle.net/11603/1006
dc.languageen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Theses and Dissertations Collection
dc.relation.ispartofUMBC Graduate School Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Mathematics and Statistics Department Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://aok.lib.umbc.edu/specoll/repro.php or contact Special Collections at speccoll(at)umbc.edu.
dc.sourceOriginal File Name: Sgambati_umbc_0434M_10308.pdf
dc.titleEffects of Spatial and Temporal Correlation in General Linear Modeling of fMRI
dc.typeText


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