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dc.contributor.authorShan, Zuyao Y
dc.contributor.authorWright, Margaret J
dc.contributor.authorThompson, Paul M
dc.contributor.authorMcMahon, Katie L
dc.contributor.authorBlokland, Gabriella GAM
dc.contributor.authorde Zubicaray, Greig I
dc.contributor.authorMartin, Nicholas G
dc.contributor.authorVinkhuyzen, Anna AE
dc.contributor.authorReutens, David C
dc.date.accessioned2018-01-23T01:00:34Z
dc.date.available2018-01-23T01:00:34Z
dc.date.issued2014
dc.identifier.issn0271-678X
dc.identifier.doi10.1038/jcbfm.2013.200
dc.identifier.urihttp://hdl.handle.net/10072/352777
dc.description.abstractThe hemodynamic response function (HRF) describes the local response of brain vasculature to functional activation. Accurate HRF modeling enables the investigation of cerebral blood flow regulation and improves our ability to interpret fMRI results. Block designs have been used extensively as fMRI paradigms because detection power is maximized; however, block designs are not optimal for HRF parameter estimation. Here we assessed the utility of block design fMRI data for HRF modeling. The trueness (relative deviation), precision (relative uncertainty), and identifiability (goodness-of-fit) of different HRF models were examined and test–retest reproducibility of HRF parameter estimates was assessed using computer simulations and fMRI data from 82 healthy young adult twins acquired on two occasions 3 to 4 months apart. The effects of systematically varying attributes of the block design paradigm were also examined. In our comparison of five HRF models, the model comprising the sum of two gamma functions with six free parameters had greatest parameter accuracy and identifiability. Hemodynamic response function height and time to peak were highly reproducible between studies and width was moderately reproducible but the reproducibility of onset time was low. This study established the feasibility and test–retest reliability of estimating HRF parameters using data from block design fMRI studies.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSage Publications
dc.relation.ispartofpagefrom316
dc.relation.ispartofpageto324
dc.relation.ispartofissue2
dc.relation.ispartofjournalJournal of Cerebral Blood Flow & Metabolism
dc.relation.ispartofvolume34
dc.subject.fieldofresearchRadiology and Organ Imaging
dc.subject.fieldofresearchCardiorespiratory Medicine and Haematology
dc.subject.fieldofresearchClinical Sciences
dc.subject.fieldofresearchNeurosciences
dc.subject.fieldofresearchcode110320
dc.subject.fieldofresearchcode1102
dc.subject.fieldofresearchcode1103
dc.subject.fieldofresearchcode1109
dc.titleModeling of the hemodynamic responses in block design fMRI studies
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2014 Nature Publishing Group. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal website for access to the definitive, published version.
gro.hasfulltextFull Text
gro.griffith.authorShan, Zack


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