An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease.

Détails

Ressource 1Télécharger: BIB_BA742CE2E62D.P001.pdf (931.03 [Ko])
Etat: Public
Version: de l'auteur
ID Serval
serval:BIB_BA742CE2E62D
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease.
Périodique
Neuroimage. Clinical
Auteur(s)
Schmitter D., Roche A., Maréchal B., Ribes D., Abdulkadir A., Bach-Cuadra M., Daducci A., Granziera C., Klöppel S., Maeder P., Meuli R., Krueger G.
Collaborateur(s)
Alzheimer's Disease Neuroimaging Initiative
ISSN
2213-1582 (Electronic)
ISSN-L
2213-1582
Statut éditorial
Publié
Date de publication
11/2015
Peer-reviewed
Oui
Volume
7
Pages
7-17
Langue
anglais
Notes
Publication types: Journal Article
Résumé
Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer's disease (AD) related brain atrophy and to enable fairly accurate automated classification of AD patients, mild cognitive impaired patients (MCI) and elderly controls. Little is known, however, about the classification power of volume-based morphometry, where features of interest consist of a few brain structure volumes (e.g. hippocampi, lobes, ventricles) as opposed to hundreds of thousands of voxel-wise gray matter concentrations. In this work, we experimentally evaluate two distinct volume-based morphometry algorithms (FreeSurfer and an in-house algorithm called MorphoBox) for automatic disease classification on a standardized data set from the Alzheimer's Disease Neuroimaging Initiative. Results indicate that both algorithms achieve classification accuracy comparable to the conventional whole-brain voxel-based morphometry pipeline using SPM for AD vs elderly controls and MCI vs controls, and higher accuracy for classification of AD vs MCI and early vs late AD converters, thereby demonstrating the potential of volume-based morphometry to assist diagnosis of mild cognitive impairment and Alzheimer's disease.
Pubmed
Web of science
Open Access
Oui
Création de la notice
13/11/2014 14:33
Dernière modification de la notice
20/08/2019 15:28
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