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A simple and clinically relevant combination of neuroimaging and functional indexes for the identification of those at highest risk of Alzheimer's disease

dc.contributor.authorTabatabaei-Jafari, Hossein
dc.contributor.authorWalsh, Erin
dc.contributor.authorShaw, Marnie
dc.contributor.authorCherbuin, Nicolas
dc.date.accessioned2021-10-17T23:46:30Z
dc.date.issued2018
dc.date.updated2020-11-23T11:31:03Z
dc.description.abstractThe current challenge in clinical practice is to identify those with mild cognitive impairment (MCI), who are at greater risk of Alzheimer's disease (AD) conversion in the near future. The aim of this study was to assess a clinically practical new hippocampal index—hippocampal volume normalized by cerebellar volume (hippocampus to cerebellum volume ratio) used alone or in combination with scores on the Mini–Mental State Examination, as a predictor of conversion from MCI to AD. The predictive value of the HCCR was also contrasted to that of the hippocampal volume to intracranial volume ratio. The findings revealed that the performance of the combination of measures was significantly better than that of each measure used individually. The combination of Mini–Mental State Examination and hippocampal volume, normalized by the cerebellum or by intracranial volume, accurately discriminated individuals with MCI who progress to AD within 5 years from other MCI types (stable, reverters) and those with intact cognition (area under receiver operating curve of 0.88 and 0.89, respectively). Normalization by cerebellar volume was as accurate as normalization by intracranial volume with the advantage of being more practical, particularly for serial assessments.en_AU
dc.description.sponsorshipData collection and sharing for this project was funded by the Alzheimer’s Disease Neuroimaging Initiative (ADNI; National Institutes of Health grant U01 AG024904). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: Alzheimer’s Association; Alzheimer Drug Discovery Foundation; BioClinica, Inc; Biogen Idec Inc; Bristol-Myers Squibb Company; Eisai Inc; Elan Pharmaceuticals, Inc; Eli Lilly and Company; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc; GE Healthcare; Innogenetics, N.V.; IXICO Ltd; Janssen Alzheimer Immunotherapy Research & Development, LLC; Johnson & Johnson Pharmaceutical Research & Development LLC; Medpace, Inc; Merck & Co, Inc; Meso Scale Diagnostics, LLC; NeuroRx Research; Novartis Pharmaceuticals Corporation; Pfizer Inc; Piramal Imaging; Servier; Synarc Inc; and Takeda Pharmaceutical Company.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0197-4580en_AU
dc.identifier.urihttp://hdl.handle.net/1885/250961
dc.language.isoen_AUen_AU
dc.publisherElsevieren_AU
dc.rights© 2018 Elsevier Inc.en_AU
dc.sourceNeurobiology of Agingen_AU
dc.subjectHippocampus to cerebellum volume ratioen_AU
dc.subjectMild cognitive impairmenten_AU
dc.subjectMRIen_AU
dc.subjectClassificationen_AU
dc.subjectAlzheimer’s diseaseen_AU
dc.titleA simple and clinically relevant combination of neuroimaging and functional indexes for the identification of those at highest risk of Alzheimer's diseaseen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.lastpage110en_AU
local.bibliographicCitation.startpage102en_AU
local.contributor.affiliationTabatabaei Jafari, Hossein, College of Health and Medicine, ANUen_AU
local.contributor.affiliationWalsh, Erin, College of Health and Medicine, ANUen_AU
local.contributor.affiliationShaw, Marnie, College of Health and Medicine, ANUen_AU
local.contributor.affiliationCherbuin, Nicolas, College of Health and Medicine, ANUen_AU
local.contributor.authoruidTabatabaei Jafari, Hossein, u5516683en_AU
local.contributor.authoruidWalsh, Erin, u4402564en_AU
local.contributor.authoruidShaw, Marnie, u3627775en_AU
local.contributor.authoruidCherbuin, Nicolas, u3184049en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor110904 - Neurology and Neuromuscular Diseasesen_AU
local.identifier.absfor110308 - Geriatrics and Gerontologyen_AU
local.identifier.absseo920112 - Neurodegenerative Disorders Related to Ageingen_AU
local.identifier.ariespublicationa383154xPUB10545en_AU
local.identifier.citationvolume69en_AU
local.identifier.doi10.1016/j.neurobiolaging.2018.05.006en_AU
local.identifier.scopusID2-s2.0-85047873783
local.publisher.urlhttp://www.elsevier.com/en_AU
local.type.statusPublished Versionen_AU

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