Neuropsychological deficits in Posterior Cortical Atrophy and typical Alzheimer's disease: A meta-analytic review.


Journal

Cortex; a journal devoted to the study of the nervous system and behavior
ISSN: 1973-8102
Titre abrégé: Cortex
Pays: Italy
ID NLM: 0100725

Informations de publication

Date de publication:
10 2021
Historique:
received: 26 01 2021
revised: 13 05 2021
accepted: 30 07 2021
pubmed: 1 9 2021
medline: 29 10 2021
entrez: 31 8 2021
Statut: ppublish

Résumé

To identify cognitive tests that best differentiate between Posterior Cortical Atrophy (PCA) and typical Alzheimer's Disease (tAD), as well as PCA and healthy control (HC) participants. Medline, PsycInfo and Web of Science were systematically searched using terms related to PCA, tAD, and cognitive testing. Seventeen studies were identified, including 441 PCA, 391 tAD, and 284 HC participants. Standardised effect sizes of mean scores were calculated to measure performance differences on cognitive tests for PCA versus tAD and PCA versus HC groups. Meta-analyses used a random effects model. The most discriminating cognitive tests for PCA and tAD presentations were measures of visuospatial function and verbal memory. Large, significant effect sizes were produced for all measures of visuospatial function, most notably for Rey-Osterrieth Copy (Hedges' g = -2.79), VOSP Fragmented letters (Hedges' g = -1.73), VOSP Dot Counting (Hedges' g = -1.74), and VOSP Cube Analysis (Hedges' g = -1.98). For measures of verbal memory, the RAVLT delay and Digit Span Backwards produced significant medium effects (Hedges' g = .62 and -.56, respectively). Establishing a common framework for testing individuals with PCA has important implications for diagnosis and treatment, and forms a practical objective for future research. Findings from this meta-analysis suggest that measures of visuospatial function and verbal memory would form an important part of this framework.

Identifiants

pubmed: 34464853
pii: S0010-9452(21)00261-6
doi: 10.1016/j.cortex.2021.07.011
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

223-236

Informations de copyright

Crown Copyright © 2021. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest None.

Auteurs

Courtney North (C)

ADAPT Lab, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK.

Roopal Desai (R)

ADAPT Lab, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK. Electronic address: roopal.desai.15@ucl.ac.uk.

Rob Saunders (R)

Centre for Outcomes Research and Effectiveness, University College London, UK.

Aida Suárez-González (A)

UCL Queen Square Institute of Neurology, University College London, UK.

Doris Bamiou (D)

UCL Ear Institute, University College London, UK.

Sergi G Costafreda (SG)

ADAPT Lab, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK.

Gera de Haan (G)

University of Groningen, Groningen, the Netherlands; Royal Dutch Visio, Centre of Expertise for Blind and Partially Sighted People, Huizen, the Netherlands.

Georgia Halls (G)

ADAPT Lab, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK.

Joost Heutink (J)

University of Groningen, Groningen, the Netherlands; Royal Dutch Visio, Centre of Expertise for Blind and Partially Sighted People, Huizen, the Netherlands.

Elizabeth O'Nions (E)

ADAPT Lab, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK.

Nattawan Utoomprurkporn (N)

UCL Ear Institute, University College London, UK; Faculty of Medicine, Chulalongkorn University, Thailand.

Amber John (A)

ADAPT Lab, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK.

Joshua Stott (J)

ADAPT Lab, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK.

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Classifications MeSH