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Predicting real world spatial disorientation in Alzheimer’s disease patients using virtual reality navigation tests

Spatial navigation impairments in Alzheimer’s disease (AD) have been suggested to underlie patients experiencing spatial disorientation. Though many studies have highlighted navigation impairments for AD patients in virtual reality (VR) environments, the extent to which these impairments predict a p...

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Autores principales: Puthusseryppady, Vaisakh, Morrissey, Sol, Spiers, Hugo, Patel, Martyn, Hornberger, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352716/
https://www.ncbi.nlm.nih.gov/pubmed/35927285
http://dx.doi.org/10.1038/s41598-022-17634-w
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author Puthusseryppady, Vaisakh
Morrissey, Sol
Spiers, Hugo
Patel, Martyn
Hornberger, Michael
author_facet Puthusseryppady, Vaisakh
Morrissey, Sol
Spiers, Hugo
Patel, Martyn
Hornberger, Michael
author_sort Puthusseryppady, Vaisakh
collection PubMed
description Spatial navigation impairments in Alzheimer’s disease (AD) have been suggested to underlie patients experiencing spatial disorientation. Though many studies have highlighted navigation impairments for AD patients in virtual reality (VR) environments, the extent to which these impairments predict a patient’s risk for spatial disorientation in the real world is still poorly understood. The aims of this study were to (a) investigate the spatial navigation abilities of AD patients in VR environments as well as in a real world community setting and (b) explore whether we could predict patients at a high risk for spatial disorientation in the community based on their VR navigation. Sixteen community-dwelling AD patients and 21 age/gender matched controls were assessed on their egocentric and allocentric navigation abilities in VR environments using the Virtual Supermarket Test (VST) and Sea Hero Quest (SHQ) as well as in the community using the Detour Navigation Test (DNT). When compared to controls, AD patients exhibited impairments on the VST, SHQ, and DNT. For patients, only SHQ wayfinding distance and wayfinding duration significantly predicted composite disorientation score on the DNT (β = 0.422, p = 0.034, R(2) = 0.299 and β = 0.357, p = 0.046, R(2) = 0.27 respectively). However, these same VR measures could not reliably predict which patients were at highest risk of spatial disorientation in the community (p > 0.1). Future studies should focus on developing VR-based tests which can predict AD patients at high risk of getting spatially disorientated in the real world.
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spelling pubmed-93527162022-08-06 Predicting real world spatial disorientation in Alzheimer’s disease patients using virtual reality navigation tests Puthusseryppady, Vaisakh Morrissey, Sol Spiers, Hugo Patel, Martyn Hornberger, Michael Sci Rep Article Spatial navigation impairments in Alzheimer’s disease (AD) have been suggested to underlie patients experiencing spatial disorientation. Though many studies have highlighted navigation impairments for AD patients in virtual reality (VR) environments, the extent to which these impairments predict a patient’s risk for spatial disorientation in the real world is still poorly understood. The aims of this study were to (a) investigate the spatial navigation abilities of AD patients in VR environments as well as in a real world community setting and (b) explore whether we could predict patients at a high risk for spatial disorientation in the community based on their VR navigation. Sixteen community-dwelling AD patients and 21 age/gender matched controls were assessed on their egocentric and allocentric navigation abilities in VR environments using the Virtual Supermarket Test (VST) and Sea Hero Quest (SHQ) as well as in the community using the Detour Navigation Test (DNT). When compared to controls, AD patients exhibited impairments on the VST, SHQ, and DNT. For patients, only SHQ wayfinding distance and wayfinding duration significantly predicted composite disorientation score on the DNT (β = 0.422, p = 0.034, R(2) = 0.299 and β = 0.357, p = 0.046, R(2) = 0.27 respectively). However, these same VR measures could not reliably predict which patients were at highest risk of spatial disorientation in the community (p > 0.1). Future studies should focus on developing VR-based tests which can predict AD patients at high risk of getting spatially disorientated in the real world. Nature Publishing Group UK 2022-08-04 /pmc/articles/PMC9352716/ /pubmed/35927285 http://dx.doi.org/10.1038/s41598-022-17634-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Puthusseryppady, Vaisakh
Morrissey, Sol
Spiers, Hugo
Patel, Martyn
Hornberger, Michael
Predicting real world spatial disorientation in Alzheimer’s disease patients using virtual reality navigation tests
title Predicting real world spatial disorientation in Alzheimer’s disease patients using virtual reality navigation tests
title_full Predicting real world spatial disorientation in Alzheimer’s disease patients using virtual reality navigation tests
title_fullStr Predicting real world spatial disorientation in Alzheimer’s disease patients using virtual reality navigation tests
title_full_unstemmed Predicting real world spatial disorientation in Alzheimer’s disease patients using virtual reality navigation tests
title_short Predicting real world spatial disorientation in Alzheimer’s disease patients using virtual reality navigation tests
title_sort predicting real world spatial disorientation in alzheimer’s disease patients using virtual reality navigation tests
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352716/
https://www.ncbi.nlm.nih.gov/pubmed/35927285
http://dx.doi.org/10.1038/s41598-022-17634-w
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