Optimizing Cognitive Assessment Outcome Measures for Alzheimer's Disease by Matching Wordlist Memory Test Features to Scoring Methodology.
Alzheimer's disease
clinical trials
cognitive assessment
cognitive modeling
digital cognitive biomarkers
latent cognitive processes
review
wordlist memory tests
Journal
Frontiers in digital health
ISSN: 2673-253X
Titre abrégé: Front Digit Health
Pays: Switzerland
ID NLM: 101771889
Informations de publication
Date de publication:
2021
2021
Historique:
received:
30
07
2021
accepted:
11
10
2021
entrez:
22
11
2021
pubmed:
23
11
2021
medline:
23
11
2021
Statut:
epublish
Résumé
Cognitive assessment with wordlist memory tests is a cost-effective and non-invasive method of identifying cognitive changes due to Alzheimer's disease and measuring clinical outcomes. However, with a rising need for more precise and granular measures of cognitive changes, especially in earlier or preclinical stages of Alzheimer's disease, traditional scoring methods have failed to provide adequate accuracy and information. Well-validated and widely adopted wordlist memory tests vary in many ways, including list length, number of learning trials, order of word presentation across trials, and inclusion of semantic categories, and these differences meaningfully impact cognition. While many simple scoring methods fail to account for the information that these features provide, extensive effort has been made to develop scoring methodologies, including the use of latent models that enable capture of this information for preclinical differentiation and prediction of cognitive changes. In this perspective article, we discuss prominent wordlist memory tests in use, their features, how different scoring methods fail or successfully capture the information these features provide, and recommendations for emerging cognitive models that optimally account for wordlist memory test features. Matching the use of such scoring methods to wordlist memory tests with appropriate features is key to obtaining precise measurement of subtle cognitive changes.
Identifiants
pubmed: 34806078
doi: 10.3389/fdgth.2021.750549
pmc: PMC8595108
doi:
Types de publication
Journal Article
Langues
eng
Pagination
750549Subventions
Organisme : NIA NIH HHS
ID : R44 AG065126
Pays : United States
Informations de copyright
Copyright © 2021 Bock, Russell, Hara and Fortier.
Déclaration de conflit d'intérêts
JB, JH, and DF are employees of Embic Corporation. JR is a consultant to Embic Corporation.
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