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Neurobiol Aging

Authors :
Pascaline Cassagnaud
David Wallon
Vincent Deramecourt
Florence Pasquier
Didier Hannequin
NeuroCEB Brain Bank
Thibaud Lebouvier
Sophie Auriacombe
Bruno Dubois
Mathieu Ceccaldi
Claude-Alain Maurage
Isabelle Le Ber
Marie Sarazin
Florence Lebert
Maxime Bertoux
Bordeaux population health (BPH)
Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Source :
Neurobiology of Aging, Neurobiology of Aging, Elsevier, 2020, 95, pp.123-130. ⟨10.1016/j.neurobiolaging.2020.07.011⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

Amnesia is a key component of Alzheimer's disease (AD) and the most important feature of its clinical diagnosis but its specificity has recently been challenged. This study investigated the ability of amnesia to predict AD in a clinicopathological dementia series. Ninety-one patients to which free and cued verbal memory assessment was administered during early cognitive decline, were followed until autopsy. Patients' histological diagnoses were classified as pure AD, mixed AD, and non-AD pathologies. Data-driven automated classification procedures explored the correspondence between memory performance and pathological diagnoses. Classifications revealed 3 clusters of performance reflecting different levels of amnesia. Little correspondence between these clusters and the presence of AD pathology was retrieved. A third of patients with pure/mixed AD pathology were non-amnesic at presentation and ≈45% of patients without AD pathology were amnesic. Data-driven prediction of AD pathology based on memory also had a poor accuracy. Free and cued memory assessments are fair tools to diagnose an amnesic syndrome but lack accuracy to predict AD pathology.

Details

Language :
English
ISSN :
01974580
Database :
OpenAIRE
Journal :
Neurobiology of Aging, Neurobiology of Aging, Elsevier, 2020, 95, pp.123-130. ⟨10.1016/j.neurobiolaging.2020.07.011⟩
Accession number :
edsair.doi.dedup.....fe526044f25c7aaff95184db376a6734