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Brain imaging evidence of preclinical Alzheimer's disease in normal aging

dc.contributor.authorJagust, William J.en_US
dc.contributor.authorGitcho, Amyen_US
dc.contributor.authorSun, Feliceen_US
dc.contributor.authorKuczynski, Bethen_US
dc.contributor.authorMungas, Dan M.en_US
dc.contributor.authorHaan, Mary N.en_US
dc.date.accessioned2007-05-02T14:16:37Z
dc.date.available2007-05-02T14:16:37Z
dc.date.issued2006-04en_US
dc.identifier.citationJagust, William; Gitcho, Amy; Sun, Felice; Kuczynski, Beth; Mungas, Dan; Haan, Mary (2006). "Brain imaging evidence of preclinical Alzheimer's disease in normal aging." Annals of Neurology 59(4): 673-681. <http://hdl.handle.net/2027.42/50654>en_US
dc.identifier.issn0364-5134en_US
dc.identifier.issn1531-8249en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/50654
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=16470518&dopt=citationen_US
dc.description.abstractObjective This study was designed to test the hypothesis that baseline glucose metabolism and medial temporal lobe brain volumes are predictive of cognitive decline in normal older people. Methods We performed positron emission tomography using [ 18 F]fluorodeoxyglucose and structural magnetic resonance imaging at baseline in 60 cognitively normal community-dwelling older subjects who were part of a longitudinal cohort study. Subjects were followed for a mean of 3.8 years, with approximately annual evaluation of global cognition (the Modified Mini-Mental State Examination) and episodic memory (delayed recall). Baseline brain volumes and glucose metabolism were evaluated in relation to the rate of change in cognitive test scores. Results Six subjects developed incident dementia or cognitive impairment (converters). Baseline positron emission tomography scans showed regions in left and right angular gyrus, left mid-temporal gyrus, and left middle frontal gyrus that predicted the rate of change on the Modified Mini-Mental State Examination ( p < 0.001). The left hemisphere temporal and parietal regions remained significant when converters were excluded. Both hippocampal ( p = 0.03) and entorhinal cortical volumes ( p = 0.01) predicted decline on delayed recall over time, and entorhinal cortical volumes remained significant when converters were excluded ( p = 0.02). These brain volumes did not predict Modified Mini-Mental State Examination decline. Interpretation These results indicate that temporal and parietal glucose metabolism predict decline in global cognitive function, and medial temporal brain volumes predict memory decline in normal older people. The anatomical location of these findings suggests detection of preclinical Alzheimer's disease pathology. Ann Neurol 2006en_US
dc.format.extent291183 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.titleBrain imaging evidence of preclinical Alzheimer's disease in normal agingen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPsychiatryen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MIen_US
dc.contributor.affiliationotherSchool of Public Health, University of California, Berkeley ; Helen Wills Neuroscience Institute, University of California, Berkeley ; Lawrence Berkeley National Laboratory, University of California, Berkeley ; Helen Wills Neuroscience Institute, 132 Barker Hall, University of California, Berkeley, CA 94720en_US
dc.contributor.affiliationotherHelen Wills Neuroscience Institute, University of California, Berkeleyen_US
dc.contributor.affiliationotherHelen Wills Neuroscience Institute, University of California, Berkeleyen_US
dc.contributor.affiliationotherHelen Wills Neuroscience Institute, University of California, Berkeleyen_US
dc.contributor.affiliationotherDepartment of Neurology, School of Medicine, University of California, Davis, CAen_US
dc.identifier.pmid16470518en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/50654/1/20799_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/ana.20799en_US
dc.identifier.sourceAnnals of Neurologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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