Relationship between brain AD biomarkers and episodic memory performance in healthy aging.


Journal

Brain and cognition
ISSN: 1090-2147
Titre abrégé: Brain Cogn
Pays: United States
ID NLM: 8218014

Informations de publication

Date de publication:
03 2021
Historique:
received: 24 09 2020
revised: 23 12 2020
accepted: 27 12 2020
pubmed: 9 1 2021
medline: 28 4 2021
entrez: 8 1 2021
Statut: ppublish

Résumé

The presence of brain biomarkers can be observed decades before the first clinical symptoms of Alzheimer's disease (AD). We aimed to determine whether associations between biomarkers and episodic memory performance already exist in a healthy late middle-aged population or only in participants over 60 years old. Performance at the Free and Cued Selective Reminding Test [FCSRT], the Logical Memory test and the Mnemonic Similarity Task [MST] was determined in sixty healthy participants (50-70 y.) with a negative status for amyloid-beta (Aβ) biomarker. We assessed Aβ cortical level and tau/neuroinflammation burden using PET scanner, and hippocampal atrophy with MRI scanner. Generalized linear mixed models showed that MST scores (recognition and pattern separation) were positively associated with hippocampal volume in participants over 60 years. No association between memory performance and Aβ and tau/neuroinflammation burden was found in the older or in the younger age group. This suggests that visual recognition memory and discrimination of lures may constitute early cognitive markers of memory decline in an older population.

Identifiants

pubmed: 33418512
pii: S0278-2626(20)30283-9
doi: 10.1016/j.bandc.2020.105680
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

105680

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Lou Rizzolo (L)

GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, 4000 Liège, Belgium.

Justinas Narbutas (J)

GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, 4000 Liège, Belgium; Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, 4000 Liège, Belgium.

Maxime Van Egroo (M)

GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, 4000 Liège, Belgium.

Daphne Chylinski (D)

GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, 4000 Liège, Belgium.

Gabriel Besson (G)

GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, 4000 Liège, Belgium.

Marion Baillet (M)

GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, 4000 Liège, Belgium.

Mohamed Ali Bahri (M)

GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, 4000 Liège, Belgium.

Eric Salmon (E)

GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, 4000 Liège, Belgium; Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, 4000 Liège, Belgium; Department of Neurology, CHU Liège, 4000 Liège, Belgium.

Pierre Maquet (P)

GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, 4000 Liège, Belgium; Department of Neurology, CHU Liège, 4000 Liège, Belgium.

Gilles Vandewalle (G)

GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, 4000 Liège, Belgium.

Christine Bastin (C)

GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, 4000 Liège, Belgium; Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, 4000 Liège, Belgium.

Fabienne Collette (F)

GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, 4000 Liège, Belgium; Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, 4000 Liège, Belgium. Electronic address: f.collette@uliege.be.

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Classifications MeSH