학술논문
Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease
Document Type
Article
Author
Villeneuve, Sarah-Christine; Houot, Marion; Cacciamani, Federica; Verrijp, Merike; Dubois, Bruno; Sikkes, Sietske; Epelbaum, Stéphane; Bakardjian, Hovagim; Benali, Habib; Bertin, Hugo; LaurieBoukadida, Joel Bonheur; Boukerrou, Nadia; Cavedo, Enrica; Chiesa, Patrizia; Colliot, Olivier; Dubois, Bruno; Dubois, Marion; Epelbaum, Stéphane; Gagliardi, Geoffroy; Genthon, Remy; Habert, Marie-Odile; Hampel, Harald; Houot, Marion; Kas, Aurélie; Lamari, Foudil; Levy, Marcel; Lista, Simone; Metzinger, Christiane; Mochel, Fanny; Nyasse, Francis; Poisson, Catherine; Potier, Marie-Claude; Revillon, Marie; Santos, Antonio; Andrade, Katia Santos; Sole, Marine; Surtee, Mohmed; Thiebaud de Schotten, Michel; Vergallo, Andrea; Younsi, Nadjia
Source
Alzheimer's & Dementia: Translational Research & Clinical Interventions; January 2019, Vol. 5 Issue: 1 p553-562, 10p
Subject
Language
ISSN
23528737
Abstract
Trials in Alzheimer's disease (AD) now include participants at the earliest stages to prevent further decline. However, the lack of tools sensitive to subtle functional changes in early-stage AD hinders the development of new therapies as it is difficult to prove their clinical relevance.