Evidence map›Paper›PMID 35360611›Full record

ArticleFrontiers in psychology2022

Age-Related Performance in Using a Fully Immersive and Automated Virtual Reality System to Assess Cognitive Function.

Ngiap Chuan Tan, Jie En Lim, John Carson Allen, Wei Teen Wong, Joanne Hui Min Quah, Paulpandi Muthulakshmi, Tuan Ann Teh, Soon Huat Lim, Rahul Malhotra

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

9 authors.

Ngiap Chuan TanDuke-NUS Medical School, Singapore, Singapore.
Jie En LimSingHealth Polyclinics, Singapore, Singapore.
John Carson AllenCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
Wei Teen WongDuke-NUS Medical School, Singapore, Singapore.
Joanne Hui Min QuahDuke-NUS Medical School, Singapore, Singapore.
Paulpandi MuthulakshmiSingHealth Polyclinics, Singapore, Singapore.
Tuan Ann TehTechnology Development Centre, Institute of Technical Education College West, Singapore, Singapore.
Soon Huat LimTechnology Development Centre, Institute of Technical Education College West, Singapore, Singapore.
Rahul MalhotraCentre for Ageing Research and Education, Duke-NUS Medical School, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cognition generally declines gradually over time due to progressive degeneration of the brain, leading to dementia and eventual loss of independent functions. The rate of regression varies among the six cognitive domains (perceptual motor, executive function, complex attention, learning and memory, social cognition and language). Current modality of cognitive assessment using neuropsychological paper-and-pencil screening tools for cognitive impairment such as the Montreal Cognitive Assessment (MoCA) has limitations and is influenced by age. Virtual reality (VR) is considered as a potential alternative tool to assess cognition. A novel, fully immersive automated VR system (Cognitive Assessment using Virtual Reality, CAVIRE) has been developed to assess the six cognitive domains. As cognition is associated with age, VR performance is postulated to vary with age using this system. Aims: This is a feasibility study to evaluate the VR performance of cognitively healthy adults aged between 35 and 74 years old, based on the performance score and completion time using the CAVIRE system. Methods: Conducted in a public primary care clinic in Singapore, 25 multi-ethnic Asian adults were recruited in each of the four age groups in years: (1) 35-44; (2) 45-54; (3) 55-64, and (4) 65-74. The eligibility criteria included a MoCA score of 26 or higher to reflect normal cognition and understanding English instructions. They completed common daily activities ranging from brushing teething to shopping, across 13 VR segments. Their performances scores and completion time were automatically computed by the CAVIRE system. These VR performance indices were compared across the four age groups using one-way ANOVA, Results: One participant dropped out from Group 1. The demographic characteristics of 99 participants were similar across the 4 age groups. Overall, younger participants in Groups 1 and 2 attained higher VR performance scores and shorter completion time, compared to those in Groups 3 and 4, in all six cognitive domains (all Conclusion: The CAVIRE VR performance scores and completion time significantly differ between the younger and older Asian participants with normal cognition. Enhancements to the system are needed to establish the age-group specific normal performance indices.

Indexed as

agecognitionperformance scoretimevirtual reality

Identifiers

PMID35360611
PMCPMC8963351

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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.