The trail less traveled: Analytical approach for creating shortened versions for virtual reality-based color trails test.

Aging cognitive assessment color trails test digital platforms virtual reality

Journal

Applied neuropsychology. Adult
ISSN: 2327-9109
Titre abrégé: Appl Neuropsychol Adult
Pays: United States
ID NLM: 101584082

Informations de publication

Date de publication:
06 May 2022
Historique:
pubmed: 7 5 2022
medline: 7 5 2022
entrez: 6 5 2022
Statut: aheadofprint

Résumé

The Color Trails Test ("CTT") is among the most popular neuropsychological assessment tests of executive function, targeting sustained visual attention (Trails A), and divided attention (Trails B). During the pen-and-paper (P&P) test, the participant traces 25 consecutive numbered targets marked on a page, and the completion time is recorded. In many cases, multiple assessments are performed on the same individual, either under varying experimental conditions or at several timepoints. However, repeated testing often results in learning and fatigue effects, which confound test outcomes. To mitigate these effects, we set the grounds for developing shorter versions of the CTT (<25 targets), using virtual reality (VR) based CTT (VR-CTT). Our aim was to discover the minimal set of targets that is sufficient for maintaining concurrent validity with the CTT including differentiation between age groups, and the difference between Trails A and B. To this aim, healthy participants in three age groups (total

Identifiants

pubmed: 35522843
doi: 10.1080/23279095.2022.2065204
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-10

Auteurs

Meytal Wilf (M)

Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Tel Aviv, Israel.
Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.

Noa Ben Yair (N)

Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Tel Aviv, Israel.

W Geoffrey Wright (WG)

Department of Health and Rehabilitation Sciences, Temple University, Philadelphia, PA, USA.

Meir Plotnik (M)

Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Tel Aviv, Israel.
Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Classifications MeSH