Augmented reality versus standard tests to assess cognition and function in early Alzheimer's disease.

Muurling, Marijn; de Boer, Casper; Vairavan, Srinivasan; Harms, Robbert L; Chadha, Antonella Santuccione; Tarnanas, Ioannis; Luis, Estefania Vilarino; Religa, Dorota; Gjestsen, Martha Therese; Galluzzi, Samantha; Ibarria Sala, Marta; Koychev, Ivan; Hausner, Lucrezia; Gkioka, Mara; Aarsland, Dag; Visser, Pieter Jelle; Brem, Anna- Katharine (2023). Augmented reality versus standard tests to assess cognition and function in early Alzheimer's disease. NPJ digital medicine, 6(1), p. 234. Nature Publishing Group 10.1038/s41746-023-00978-6

[img]
Preview
Text
s41746-023-00978-6.pdf - Published Version
Available under License Creative Commons: Attribution (CC-BY).

Download (1MB) | Preview

Augmented reality (AR) apps, in which the virtual and real world are combined, can recreate instrumental activities of daily living (IADL) and are therefore promising to measure cognition needed for IADL in early Alzheimer's disease (AD) both in the clinic and in the home settings. The primary aim of this study was to distinguish and classify healthy controls (HC) from participants with AD pathology in an early AD stage using an AR app. The secondary aims were to test the association of the app with clinical cognitive and functional tests and investigate the feasibility of at-home testing using AR. We furthermore investigated the test-retest reliability and potential learning effects of the task. The digital score from the AR app could significantly distinguish HC from preclinical AD (preAD) and prodromal AD (proAD), and preAD from proAD, both with in-clinic and at-home tests. For the classification of the proAD group, the digital score (AUCclinic_visit = 0.84 [0.75-0.93], AUCat_home = 0.77 [0.61-0.93]) was as good as the cognitive score (AUC = 0.85 [0.78-0.93]), while for classifying the preAD group, the digital score (AUCclinic_visit = 0.66 [0.53-0.78], AUCat_home = 0.76 [0.61-0.91]) was superior to the cognitive score (AUC = 0.55 [0.42-0.68]). In-clinic and at-home tests moderately correlated (rho = 0.57, p < 0.001). The digital score was associated with the clinical cognitive score (rho = 0.56, p < 0.001). No learning effects were found. Here we report the AR app distinguishes HC from otherwise healthy Aβ-positive individuals, both in the outpatient setting and at home, which is currently not possible with standard cognitive tests.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > University Psychiatric Services > University Hospital of Geriatric Psychiatry and Psychotherapy

UniBE Contributor:

Brem, Anna- Katharine

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2398-6352

Publisher:

Nature Publishing Group

Language:

English

Submitter:

Pubmed Import

Date Deposited:

19 Dec 2023 09:08

Last Modified:

14 Jan 2024 02:42

Publisher DOI:

10.1038/s41746-023-00978-6

PubMed ID:

38110486

BORIS DOI:

10.48350/190521

URI:

https://boris.unibe.ch/id/eprint/190521

Actions (login required)

Edit item Edit item
Provide Feedback