Structural imaging outcomes in subjective cognitive decline: Community vs. clinical-based samples.


Journal

Experimental gerontology
ISSN: 1873-6815
Titre abrégé: Exp Gerontol
Pays: England
ID NLM: 0047061

Informations de publication

Date de publication:
03 2021
Historique:
received: 07 06 2020
revised: 13 11 2020
accepted: 05 12 2020
pubmed: 20 12 2020
medline: 3 6 2021
entrez: 19 12 2020
Statut: ppublish

Résumé

Subjective cognitive decline (SCD) has been proposed as a preclinical stage of Alzheimer's disease (AD). Neuroimaging studies have suggested early AD-like structural brain alterations in SCD subjects compared to healthy controls. However, there is substantial heterogeneity in the results, which might depend on whether SCD samples were drawn from the community or from memory clinics. Here we reviewed brain atrophy, assessed through structural magnetic resonance imaging, separately for SCD-community and clinic-based samples. SCD-community samples show a more consistent pattern of atrophy, involving the hippocampus and temporal and parietal cortices. Similarly, in SCD-clinic samples the temporo-parietal cortex showed early vulnerability, however these studies reported a more heterogeneous atrophy pattern. Overall, these studies suggest both commonalities and differences in brain atrophy patterns between SCD clinical and community samples. In SCD-community, the temporal cortex is involved, while SCD-clinical exhibited a more complex pattern of atrophy, which may be related to a more heterogeneous sample reporting neuropsychiatric symptoms along with preclinical AD.

Identifiants

pubmed: 33340685
pii: S0531-5565(20)30564-7
doi: 10.1016/j.exger.2020.111216
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

111216

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Lorenzo Pini (L)

Padova Neuroscience Center, University of Padova, Italy; Department of Neuroscience, University of Padova, Italy.

Alexandra M Wennberg (AM)

Padova Neuroscience Center, University of Padova, Italy; Department of Neuroscience, University of Padova, Italy. Electronic address: amvwennberg.unipd@gmail.com.

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Classifications MeSH