Evidence map›Paper›PMID 39725762›Full record

ArticleMedical & biological engineering & computing2025

Evaluation of a cognition-sensitive spatial virtual reality game for Alzheimer's disease.

Rashmita Chatterjee, Zahra Moussavi

Abstract read
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Article in Medical & biological engineering & computing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Rashmita ChatterjeeDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, 75 Chancellors Cir, Winnipeg, MB, R3T 5V6, Canada. chatter2@myumanitoba.ca.ORCID http://orcid.org/0009-0004-4288-1595
Zahra MoussaviDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, 75 Chancellors Cir, Winnipeg, MB, R3T 5V6, Canada.ORCID http://orcid.org/0000-0001-9202-949X

Funding

Mitacs IT26869
6 · The paper itself

Abstract

Spatial impairment characterizes Alzheimer's disease (AD) from its earliest stages. We present the design and preliminary evaluation of "Barn Ruins," a serious virtual reality (VR) wayfinding game for early-stage AD. Barn Ruins is tailored to the cognitive abilities of this population, featuring simple controls and error-based scoring system. Ten younger adults, ten cognitively healthy older adults, and ten age-matched individuals with AD participated in this study. They underwent cognitive assessments using the Montreal Cognitive Assessment (MoCA) and the Montgomery-Åsberg Depression Rating Scale (MADRS) before gameplay. The game involves navigating a virtual environment to find a target room, with increasing levels of difficulty. This study aimed to confirm the cognitive sensitivity of the Barn Ruins' spatial learning score by studying its relationship with Montreal Cognitive Assessment (MoCA) scores. MoCA scores and spatial learning scores had a correlation coefficient of 0.755 (p < 0.001). Logistic regression further revealed that higher spatial learning scores significantly predicted lower odds of cognitive impairment (OR = 0.495, 95% CI [0.274, 0.746], p < 0.005). The initial results suggest that the game is effective in differentiating performance among participant groups. This research demonstrates the potential of the Barn Ruins game as an innovative tool for assessing spatial navigation in AD, highlighting areas for future validation and investigation as a training tool.

Indexed as

Alzheimer DiseaseCognitionVideo GamesVirtual RealityAdultAgedFemaleHumansMaleMiddle AgedNeuropsychological TestsYoung AdultAlzheimer’s diseaseSerious gameVirtual reality

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.