Development and assessment of a composite score for memory in the Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Paul K. Crane,Adam C. Carle,Laura E. Gibbons,Philip S. Insel,R. Scott Mackin,Alden L. Gross,Richard N. Jones,Shubhabrata Mukherjee,S. McKay Curtis,Danielle J Harvey,Michael Weiner,Dan M Mungas +11 more
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TLDR
This article developed and evaluated a composite memory score from the neuropsychological battery used in the Alzheimer's Disease (AD) Neuroimaging Initiative (ADNI) data to develop ADNI-Mem, which was as good as or better than all of the other scores at predicting conversion from MCI to AD.Abstract:
We sought to develop and evaluate a composite memory score from the neuropsychological battery used in the Alzheimer’s Disease (AD) Neuroimaging Initiative (ADNI). We used modern psychometric approaches to analyze longitudinal Rey Auditory Verbal Learning Test (RAVLT, 2 versions), AD Assessment Schedule - Cognition (ADAS-Cog, 3 versions), Mini-Mental State Examination (MMSE), and Logical Memory data to develop ADNI-Mem, a composite memory score. We compared RAVLT and ADAS-Cog versions, and compared ADNI-Mem to RAVLT recall sum scores, four ADAS-Cog-derived scores, the MMSE, and the Clinical Dementia Rating Sum of Boxes. We evaluated rates of decline in normal cognition, mild cognitive impairment (MCI), and AD, ability to predict conversion from MCI to AD, strength of association with selected imaging parameters, and ability to differentiate rates of decline between participants with and without AD cerebrospinal fluid (CSF) signatures. The second version of the RAVLT was harder than the first. The ADAS-Cog versions were of similar difficulty. ADNI-Mem was slightly better at detecting change than total RAVLT recall scores. It was as good as or better than all of the other scores at predicting conversion from MCI to AD. It was associated with all our selected imaging parameters for people with MCI and AD. Participants with MCI with an AD CSF signature had somewhat more rapid decline than did those without. This paper illustrates appropriate methods for addressing the different versions of word lists, and demonstrates the additional power to be gleaned with a psychometrically sound composite memory score.read more
Citations
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Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria
Bruno Dubois,Bruno Dubois,Howard Feldman,Claudia Jacova,Harald Hampel,Harald Hampel,José Luis Molinuevo,Kaj Blennow,Steven T. DeKosky,Serge Gauthier,Dennis J. Selkoe,Randall J. Bateman,Stefano F. Cappa,Sebastian J. Crutch,Sebastiaan Engelborghs,Giovanni B. Frisoni,Nick C. Fox,Douglas Galasko,Marie-Odile Habert,Gregory A. Jicha,Agneta Nordberg,Florence Pasquier,Gil D. Rabinovici,Philippe Robert,Christopher C. Rowe,Stephen Salloway,Marie Sarazin,Stéphane Epelbaum,Stéphane Epelbaum,Leonardo Cruz de Souza,Leonardo Cruz de Souza,Leonardo Cruz de Souza,Bruno Vellas,Pieter Jelle Visser,Lon S. Schneider,Yaakov Stern,Philip Scheltens,Jeffrey L. Cummings +37 more
TL;DR: It is proposed that downstream topographical biomarkers of the disease, such as volumetric MRI and fluorodeoxyglucose PET, might better serve in the measurement and monitoring of the course of disease.
Journal ArticleDOI
Effectiveness of regional DTI measures in distinguishing Alzheimer's disease, MCI, and normal aging.
Talia M. Nir,Neda Jahanshad,Julio Villalon-Reina,Arthur W. Toga,Clifford R. Jack,Michael W. Weiner,Paul M. Thompson +6 more
TL;DR: Which DTI measures may best identify differences among AD, mild cognitive impairment (MCI), and cognitively healthy elderly control (NC) groups are assessed, in region of interest (ROI) and voxel-based analyses of 155 ADNI participants.
Journal ArticleDOI
Cerebrospinal fluid analysis detects cerebral amyloid-β accumulation earlier than positron emission tomography.
TL;DR: It is shown that CSF amyloid-β 42 becomes abnormal beforeAmyloid PET and before neurodegeneration onset in preclinical Alzheimer’s disease, which has implications for risk factor interventions and future therapies.
Journal ArticleDOI
2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception
Michael W. Weiner,Dallas P. Veitch,Paul S. Aisen,Laurel A. Beckett,Nigel J. Cairns,Jesse M. Cedarbaum,Robert C. Green,Danielle J Harvey,Clifford R. Jack,William J. Jagust,Johan Luthman,John C. Morris,Ronald C. Petersen,Andrew J. Saykin,Leslie M. Shaw,Li Shen,Adam J. Schwarz,Arthur W. Toga,John Q. Trojanowski +18 more
TL;DR: The major accomplishments of ADNI have been the development of standardized methods for clinical tests, magnetic resonance imaging, positron emission tomography (PET), and cerebrospinal fluid (CSF) biomarkers in a multicenter setting, and the improvement of clinical trial efficiency through the identification of subjects most likely to undergo imminent future clinical decline and the use of more sensitive outcome measures to reduce sample sizes.
2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception
Michael W. Weiner,Dallas P. Veitch,Paul S. Aisen,Laurel A. Beckett,Nigel J. Cairns,Jesse M. Cedarbaum,Robert C. Green,Danielle J Harvey,Clifford R. Jack,William J. Jagust,Johan Luthman,John C. Morris,Ronald C. Petersen,Andrew J. Saykin,Leslie M. Shaw,Li Shen,Adam J. Schwarz,Arthur W. Toga,John Q. Trojanowski,Alzheimer’s Disease Neuroimaging Initiative +19 more
References
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A practical method for grading the cognitive state of patients for the clinician
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