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Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Dec 23, 2021)

Date Submitted: Apr 18, 2021

The final, peer-reviewed published version of this preprint can be found here:

Age-related performance in using a fully-immersive and automated virtual reality system to assess cognitive function

Tan NC, Lim JE, Allen JC Jr, Wong WT, Lai Wern Shen M, Quah Hui Min J, Paulpandi M, Teh TA, Lim SH, Malhotra R

Age-related performance in using a fully-immersive and automated virtual reality system to assess cognitive function

Front. Psychol.

DOI: 10.3389/fpsyg.2022.847590

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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 Jr; 
  • Wei Teen Wong; 
  • Maksim Lai Wern Shen; 
  • Joanne Quah Hui Min; 
  • Muthulakshmi Paulpandi; 
  • Tuan Ann Teh; 
  • Soon Huat Lim; 
  • Rahul Malhotra

ABSTRACT

Background:

Cognition generally declines gradually over time due to progressive degeneration of the brain, leading to dementia and eventual loss of independent functions. Cognition in the six domains (perceptual motor, executive function, complex attention, learning and memory, social cognition and language) varies in their rate of regression. Current modality of cognitive assessment using neuropsychological, questionnaire-based such as the Montreal Cognitive Assessment (MoCA) has its limitations and is influenced by age. Virtual reality (VR) has been introduced as a potential alternative tool to assess cognition. A novel fully immersive automated VR system (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.

Objective:

This study aimed to evaluate the VR performance of cognitively healthy adults using the CAVIRE system based on its automated scoring matrix and completion time.

Methods:

Conducted in a public primary care clinic in Singapore, the study recruited 25 multi-ethnic Asian adults in each of the age groups in years: (1) 35-44; (2) 45-54; (3) 55-64 and (4) 65-74. Their eligibility included a MoCA score of 26 or higher to reflect normal cognition and understanding the automated English instructions in the CAVIRE system. They completed common daily activities from brushing teething to shopping across 13 virtual segments. Their performances were automatically evaluated and computed using cognitive domain score matrix and completion time of the VR tasks. These VR performance indices were compared across the age groups using a one-way ANOVA, F-test of the hypothesis, followed by pair-wise comparisons in the event of a significant F-test (p<0.05).

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 using the CAVIRE system, compared to those in Groups (3] and (4) in every cognitive domain (all p<0.05). Significant differences in performance scores are noted in sequential age groups from (1) to (3) in “Executive Functions”; Group (1) and those in Groups (3) and (4) in “perceptual motor; Group (1) and those in Groups (2), (3) and (4) in “complex attention” and “social cognition”; Group (1) and (4) In “learning and memory”; Groups (1) and (2) and those in Groups (3) and (4) in language. Significant differences in completion time are noted between Groups (1) and (3) except for “social cognition”; and between Groups (2) and (3), except for “learning and memory”.

Conclusions:

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.


 Citation

Please cite as:

Tan NC, Lim JE, Allen JC Jr, Wong WT, Lai Wern Shen M, Quah Hui Min J, Paulpandi M, Teh TA, Lim SH, Malhotra R

Age-related performance in using a fully-immersive and automated virtual reality system to assess cognitive function

JMIR Preprints. 18/04/2021:29653

DOI: 10.2196/preprints.29653

URL: https://preprints.jmir.org/preprint/29653

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