Literature DB >> 25444598

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

Simon Duchesne1, Fernando Valdivia2, Abderazzak Mouiha2, Nicolas Robitaille2.   

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.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; High-dimensional morphometry; Magnetic resonance imaging; Medial temporal lobe atrophy; Mild cognitive impairment; Transverse analysis

Mesh:

Substances:

Year:  2014        PMID: 25444598     DOI: 10.1016/j.neurobiolaging.2014.06.031

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  1 in total

1.  Predicting Alzheimer's disease development: a comparison of cognitive criteria and associated neuroimaging biomarkers.

Authors:  Brandy L Callahan; Joel Ramirez; Courtney Berezuk; Simon Duchesne; Sandra E Black
Journal:  Alzheimers Res Ther       Date:  2015-11-05       Impact factor: 6.982

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.