Use of Immersive Virtual Reality in the Assessment and Treatment of Alzheimer's Disease: A Systematic Review.


Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2020
Historique:
pubmed: 14 4 2020
medline: 11 5 2021
entrez: 14 4 2020
Statut: ppublish

Résumé

Immersive virtual reality (iVR) allows seamless interaction with simulated environments and is becoming an established tool in clinical research. It is unclear whether iVR is acceptable to people with Alzheimer's disease (AD) dementia or useful in their care. We explore whether iVR is a viable research tool that may aid the detection and treatment of AD. This review examines the use of iVR in people with AD or mild cognitive impairment (MCI). Medline, PsycINFO, Embase, CINAHL, and Web of Science databases were searched from inception. PRISMA guidelines were used with studies selected by at least two researchers. Nine studies were eligible for inclusion. None reported any issues with iVR tolerability in participants with MCI and AD on assessment or treatment tasks. One study demonstrated capability for detecting prodromal AD and correlated with neuroanatomical substrates. Two studies showed iVR to have high accuracy in differentiating participants with AD from controls but were not hypothesis driven or with adequate controls measures. In a small validation study and two longitudinal case studies, iVR cognitive training was positively rated but did not demonstrate reliable benefit. iVR is emerging as a viable method of assessing older adults and people with AD. Strongest benefits were seen when closely integrated with theoretical models of neurodegeneration and existing screening methods. Further randomized controlled trials integrated with clinical populations are required. This will consolidate the power of iVR for assessment of MCI and clarify treatment efficacy beyond current applications in physical rehabilitation.

Sections du résumé

BACKGROUND
Immersive virtual reality (iVR) allows seamless interaction with simulated environments and is becoming an established tool in clinical research. It is unclear whether iVR is acceptable to people with Alzheimer's disease (AD) dementia or useful in their care. We explore whether iVR is a viable research tool that may aid the detection and treatment of AD.
OBJECTIVES
This review examines the use of iVR in people with AD or mild cognitive impairment (MCI).
METHODS
Medline, PsycINFO, Embase, CINAHL, and Web of Science databases were searched from inception. PRISMA guidelines were used with studies selected by at least two researchers.
RESULTS
Nine studies were eligible for inclusion. None reported any issues with iVR tolerability in participants with MCI and AD on assessment or treatment tasks. One study demonstrated capability for detecting prodromal AD and correlated with neuroanatomical substrates. Two studies showed iVR to have high accuracy in differentiating participants with AD from controls but were not hypothesis driven or with adequate controls measures. In a small validation study and two longitudinal case studies, iVR cognitive training was positively rated but did not demonstrate reliable benefit.
CONCLUSION
iVR is emerging as a viable method of assessing older adults and people with AD. Strongest benefits were seen when closely integrated with theoretical models of neurodegeneration and existing screening methods. Further randomized controlled trials integrated with clinical populations are required. This will consolidate the power of iVR for assessment of MCI and clarify treatment efficacy beyond current applications in physical rehabilitation.

Identifiants

pubmed: 32280091
pii: JAD191218
doi: 10.3233/JAD-191218
pmc: PMC7306888
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

23-43

Subventions

Organisme : Department of Health
Pays : United Kingdom

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Auteurs

Felix Clay (F)

Cambridge and Peterborough Foundation Trust, Elizabeth House, Fulbourn Hospital Cambridge, Cambridge, UK.
ARC East of England, Douglas House, Cambridge, UK.

David Howett (D)

University of Cambridge, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Cambridge, UK.

James FitzGerald (J)

Cambridge and Peterborough Foundation Trust, Elizabeth House, Fulbourn Hospital Cambridge, Cambridge, UK.
ARC East of England, Douglas House, Cambridge, UK.

Paul Fletcher (P)

Cambridge and Peterborough Foundation Trust, Elizabeth House, Fulbourn Hospital Cambridge, Cambridge, UK.
Department of Psychiatry, University of Cambridge, Cambridge, UK.
Wellcome Trust MRC Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.

Dennis Chan (D)

University of Cambridge, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Cambridge, UK.
Institute of Cognitive Neuroscience, University College London, Alexandra House, London, UK.

Annabel Price (A)

Cambridge and Peterborough Foundation Trust, Elizabeth House, Fulbourn Hospital Cambridge, Cambridge, UK.
ARC East of England, Douglas House, Cambridge, UK.

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Classifications MeSH