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Parametric in vivo imaging of benzodiazepine receptor distribution in human brain

dc.contributor.authorFrey, Kirk A.en_US
dc.contributor.authorHolthoff, Vjera A.en_US
dc.contributor.authorKoeppe, Robert A.en_US
dc.contributor.authorJewett, Douglas M.en_US
dc.contributor.authorKilbourn, Michael R.en_US
dc.contributor.authorKuhl, David E.en_US
dc.date.accessioned2007-04-06T18:54:16Z
dc.date.available2007-04-06T18:54:16Z
dc.date.issued1991-11en_US
dc.identifier.citationFrey, Kirk A.; Holthoff, Vjera A.; Koeppe, Robert A.; Jewett, Douglas M.; Kilbourn, Michael R.; Kuhl, David E. (1991)."Parametric in vivo imaging of benzodiazepine receptor distribution in human brain." Annals of Neurology 30(5): 663-672. <http://hdl.handle.net/2027.42/50347>en_US
dc.identifier.issn0364-5134en_US
dc.identifier.issn1531-8249en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/50347
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=1662476&dopt=citationen_US
dc.description.abstractEmission computed tomographic methods for the in vivo quantification of radioligand-binding sites in human brain have previously been limited either by a lack of correction for possible effects of altered ligand transport or by highly complicated physiological models that preclude display of binding data in a detailed anatomical format. We investigated the application of a simplified compartmental model to the kinetic analysis of in vivo ligand binding to central benzodiazepine receptors. The human brain distribution of { 11 C}flumazenil, as determined by dynamic positron emission tomography, combined with metabolite-corrected arterial blood samples, permitted estimations of local cerebral ligand transport and of receptor binding. This approach allows calculation of transport and binding “maps” on a pixel-by-pixel basis, resulting in the display of binding data in a familiar tomographic format while maintaining much of the physiological accuracy inherent in more complex methods. The results obtained in a study of 6 normal volunteers revealed good interindividual precision, with coefficients of variation between 10 and 15% of mean regional values, suggesting the utility of this approach in future clinical studies of benzodiazepine receptor binding.en_US
dc.format.extent1028310 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherNeuroscience, Neurology, and Psychiatryen_US
dc.titleParametric in vivo imaging of benzodiazepine receptor distribution in human brainen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPsychiatryen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDivision of Nuclear Medicine (Department of Internal Medicine), University of Michigan, Ann Arbor, MI ; Mental Health Research Institute, University of Michigan, Ann Arbor, MI ; Division of Nuclear Medicine, B1 G412 University Hospital, 1500 E. Medical Center Drive, Ann Arbor, MI 48109-0028en_US
dc.contributor.affiliationumDivision of Nuclear Medicine (Department of Internal Medicine), University of Michigan, Ann Arbor, MIen_US
dc.contributor.affiliationumDivision of Nuclear Medicine (Department of Internal Medicine), University of Michigan, Ann Arbor, MIen_US
dc.contributor.affiliationumDivision of Nuclear Medicine (Department of Internal Medicine), University of Michigan, Ann Arbor, MIen_US
dc.contributor.affiliationumDivision of Nuclear Medicine (Department of Internal Medicine), University of Michigan, Ann Arbor, MIen_US
dc.contributor.affiliationotherMax-Planck-Institut fÜr Neurologische Forschung, KÖln, Federal Republic of Germanyen_US
dc.identifier.pmid1662476en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/50347/1/410300506_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/ana.410300506en_US
dc.identifier.sourceAnnals of Neurologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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