Development and validation of virtual reality-based Rey Auditory Verbal Learning Test.
Rey Auditory Verbal Learning test
memory and learning tests
neuropsychological tests
reliability and validity
validation study
virtual reality
Journal
Frontiers in aging neuroscience
ISSN: 1663-4365
Titre abrégé: Front Aging Neurosci
Pays: Switzerland
ID NLM: 101525824
Informations de publication
Date de publication:
2022
2022
Historique:
received:
28
06
2022
accepted:
09
08
2022
entrez:
3
10
2022
pubmed:
4
10
2022
medline:
4
10
2022
Statut:
epublish
Résumé
Translations and adaptations of traditional neuropsychological tests to virtual reality (VR) technology bear the potential to increase their ecological validity since the technology enables simulating everyday life conditions in a controlled manner. The current paper describes our translation of a commonly used neuropsychological test to VR, the Rey Auditory Verbal Learning Test (RAVLT). For this aim, we developed a VR adaptation of the RAVLT (VR-RAVLT) Which is based on a conversation with a secretary in a virtual office using a fully immersive VR system. To validate the VR-RAVLT, we tested its construct validity, its age-related discriminant validity and its test-retest validity in reference to the original gold standard RAVLT (GS-RAVLT). Seventy-eight participants from different age groups performed the GS-RAVLT and the VR-RAVLT tests in a counterbalanced order in addition to other neuropsychological tests. Construct validity was validated using Pearson's correlations coefficients and serial position effects; discriminant validity was validated using receiver operating characteristic area under the curve values and test-retest reliability was validated using intraclass correlation coefficients. Comparing both RAVLTs' format results indicates that the VR-RAVLT has comparable construct, discriminant and test-retest validities. the novel VR-RAVLT and the GS-RAVLT share similar psychometric properties suggesting that the two tests measure the same cognitive construct. This is an indication of the feasibility of adapting the RAVLT to the VR environment. Future developments will employ this approach for clinical diagnosis and treatment.
Identifiants
pubmed: 36185470
doi: 10.3389/fnagi.2022.980093
pmc: PMC9519387
doi:
Types de publication
Journal Article
Langues
eng
Pagination
980093Informations de copyright
Copyright © 2022 Gottlieb, Doniger, Kimel-Naor, Ben-Gal, Cohen, Iny, Beeri and Plotnik.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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