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The use of virtual reality in screening for preclinical Alzheimer's disease: A scoping review protocol

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posted on 2023-05-21, 16:43 authored by Yuan TianYuan Tian, Maneesh KuruvillaManeesh Kuruvilla, Mira ParkMira Park

Introduction: Preclinical Alzheimer's disease (AD) represents the earliest phase of AD, often years before the onset of mild cognitive impairment (MCI). There is a pressing focus on identifying individuals in the preclinical AD phase to alter the trajectory or impact of the disease potentially. Increasingly, Virtual Reality (VR) technology is being used to support a diagnosis of AD. While VR technology has been applied to the assessment of MCI and AD, studies about how best to utilize VR as a screening tool for preclinical AD are limited and discordant. The objectives of this review are to synthesize the evidence pertaining to the use of VR as a screening tool for preclinical AD as well as to identify factors that need to be considered when utilizing VR to screen for preclinical AD.

Methods and analysis: The methodological framework proposed by Arksey and O'Malley (2005) will be introduced to guide the conduction of the scoping review, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR) (2018) will be used to organize and structure the review. PubMed, Web of Science, Scopus, ScienceDirect and Google Scholar will be used to search for literature. Obtained studies will be screened for eligibility based on predefined exclusion criteria. A narrative synthesis of eligible studies will be performed, after tabulating the extracted data from existing literature, to answer the research questions.

History

Publication title

PLoS One

Volume

18

Pagination

1-9

ISSN

1932-6203

Department/School

School of Information and Communication Technology

Publisher

Public Library of Science

Place of publication

United States

Rights statement

© 2023 Tian et al. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License, https://creativecommons.org/licenses/by/4.0/ which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Repository Status

  • Open

Socio-economic Objectives

Diagnosis of human diseases and conditions; Human-computer interaction

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