The use of fully immersive virtual reality for screening neurodegenerative diseases: A systematic review of behavioral and diagnostic outcomes

This review systematically describes the application of fully immersive virtual reality (VR) in the early screening of neurodegenerative diseases, with a focus on studies using head-mounted devices to simulate real-life tasks.Task types such as spatial memory, daily living simulations, and executive function assessments have demonstrated high sensitivity and specificity in diagnosing mild cognitive impairment (MCI) and early-stage Alzheimer's disease (AD).Approximately one third of studies combined machine learning techniques to analyze multimodal behavioral data (e.g., path deviations, task duration, and language responses), significantly improving diagnostic accuracy.This study highlights methodological heterogeneity, small sample sizes, and the lack of longitudinal studies as current research limitations, and calls for future standardized, multicenter, and long-term follow-up studies to validate the predictive validity and real-world applicability of VR tools.

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Publication Details

Journal
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring
Published
2026-01-01
DOI
https://doi.org/10.1002/dad2.70244
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00

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article

The use of fully immersive virtual reality for screening neurodegenerative diseases: A systematic review of behavioral and diagnostic outcomes

Daniele Soria, Shergill Sukhi, Zhao Liu, Daniel Jie Lai et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring
Dementia and Cognitive Impairment Research
article

The use of fully immersive virtual reality for screening neurodegenerative diseases: A systematic review of behavioral and diagnostic outcomes

Daniele Soria, Shergill Sukhi, Zhao Liu, Daniel Jie Lai, Chee Siang Ang, Jinbao Zhang
article en

Abstract

This review systematically describes the application of fully immersive virtual reality (VR) in the early screening of neurodegenerative diseases, with a focus on studies using head-mounted devices to simulate real-life tasks.Task types such as spatial memory, daily living simulations, and executive function assessments have demonstrated high sensitivity and specificity in diagnosing mild cognitive impairment (MCI) and early-stage Alzheimer's disease (AD).Approximately one third of studies combined machine learning techniques to analyze multimodal behavioral data (e.g., path deviations, task duration, and language responses), significantly improving diagnostic accuracy.This study highlights methodological heterogeneity, small sample sizes, and the lack of longitudinal studies as current research limitations, and calls for future standardized, multicenter, and long-term follow-up studies to validate the predictive validity and real-world applicability of VR tools.

Alzheimer s & Dementia Diagnosis Assessment & Disease MonitoringVol. 18(1)
Canterbury Christ Church University (GB), King's College London (GB), University of Kent (GB), National Institute for Health and Care Research (GB), Lung Institute (US)
China Scholarship Council
Peace, Justice and strong institutions
Openalex Percentile: Top 93%
Dementia and Cognitive Impairment Research
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