Single time point high-dimensional morphometry in Alzheimer's disease: group statistics on longitudinally acquired data.

TitleSingle time point high-dimensional morphometry in Alzheimer's disease: group statistics on longitudinally acquired data.
Publication TypeJournal Article
Year of Publication2015
AuteursDuchesne, S, Valdivia, F, Mouiha, A, Robitaille, N
Corporate AuthorsAlzheimer's Disease Neuroimaging Initiative
JournalNeurobiol Aging
Volume36 Suppl 1
PaginationS11-22
Date Published2015 Jan
ISSN1558-1497
KeywordsAged, Aged, 80 and over, Algorithms, Alzheimer Disease, Atrophy, Biomarkers, Cognitive Dysfunction, Diffusion Magnetic Resonance Imaging, Female, Humans, Longitudinal Studies, Male, Neuroimaging, Prognosis, Temporal Lobe
Abstract

Quantitative assessment of medial temporal lobe atrophy has been proposed as a biomarker for Alzheimer's disease (AD) diagnostic and prognostic in mild cognitive impairment (MCI) due to AD. We present the first results of our high-dimensional morphometry technique, tracking tissue composition, and atrophy changes on T1-weighted magnetic resonance imaging at various time points. We selected 187 control subjects, 17 control subjects having progressed to MCI and/or AD, 178 subjects with stable MCI, 165 subjects with MCI having progressed to AD, and 147 AD subjects from the Alzheimer's Disease Neuroimaging Initiative study. Results show statistically significant differences between almost every diagnostic and time point comparison pairs (0-12, 12-24, and 24-36 months), including controls having progressed to either MCI or AD and trajectory dynamics that demonstrate the algorithm's ability at tracking specific pathology-related neurodegeneration.

DOI10.1016/j.neurobiolaging.2014.06.031
Alternate JournalNeurobiol. Aging
PubMed ID25444598
Grant ListK01 AG030514 / AG / NIA NIH HHS / United States
P30 AG010129 / AG / NIA NIH HHS / United States
U01 AG024904 / AG / NIA NIH HHS / United States