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Alpha3/alpha2 power ratios relate to performance on a virtual reality shopping task in ageing adults

Patchitt, Joel, Porffy, Lilla A., Whomersley, Gabriella, Szentgyorgyi, Timea, Brett, Jack, Mouchlianitis, Elias, Mehta, Mitul A., Nottage, Judith F., Shergill, Sukhi S. (2022) Alpha3/alpha2 power ratios relate to performance on a virtual reality shopping task in ageing adults. Frontiers in Aging Neuroscience, 14 . ISSN 1663-4365. (doi:10.3389/fnagi.2022.876832) (KAR id:99762)


Background: Aspects of cognitive function decline with age. This phenomenon is referred to as age-related cognitive decline (ARCD). Improving the understanding of these changes that occur as part of the ageing process can serve to enhance the detection of the more incapacitating neurodegenerative disorders such as Alzheimer’s disease (AD). In this study, we employ novel methods to assess ARCD by exploring the utility of the alpha3/alpha2 electroencephalogram (EEG) power ratio – a marker of AD, and a novel virtual reality (VR) functional cognition task – VStore, in discriminating between young and ageing healthy adults.

Materials and methods: Twenty young individuals aged 20–30, and 20 older adults aged 60–70 took part in the study. Participants underwent resting-state EEG and completed VStore and the Cogstate Computerised Cognitive Battery. The difference in alpha3/alpha2 power ratios between the age groups was tested using t-test. In addition, the discriminatory accuracy of VStore and Cogstate were compared using logistic regression and overlying receiver operating characteristic (ROC) curves. Youden’s J statistic was used to establish the optimal threshold for sensitivity and specificity and model performance was evaluated with the DeLong’s test. Finally, alpha3/alpha2 power ratios were correlated with VStote and Cogstate performance.

Results: The difference in alpha3/alpha2 power ratios between age cohorts was not statistically significant. On the other hand, VStore discriminated between age groups with high sensitivity (94%) and specificity (95%) The Cogstate Pre-clinical Alzheimer’s Battery achieved a sensitivity of 89% and specificity of 60%, and Cogstate Composite Score achieved a sensitivity of 83% and specificity of 85%. The differences between the discriminatory accuracy of VStore and Cogstate models were statistically significant. Finally, high alpha3/alpha2 power ratios correlated strongly with VStore (r = 0.73), the Cogstate Pre-clinical Alzheimer’s Battery (r = -0.67), and Cogstate Composite Score (r = -0.76).

Conclusion: While we did not find evidence that the alpha3/alpha2 power ratio is elevated in healthy ageing individuals compared to young individuals, we demonstrated that VStore can classify age cohorts with high accuracy, supporting its utility in the assessment of ARCD. In addition, we found preliminary evidence that elevated alpha3/alpha2 power ratio may be linked to lower cognitive performance.

Item Type: Article
DOI/Identification number: 10.3389/fnagi.2022.876832
Additional information: For the purpose of open access, the author has applied a CC BY public copyright licence (where permitted by UKRI, an Open Government Licence or CC BY ND public copyright licence may be used instead) to any Author Accepted Manuscript version arising.
Uncontrolled keywords: virtual reality; cognition; neuropsychological testing; ageing; age-related cognitive decline; electroencephalography; alpha rhythm; cognitive markers
Subjects: R Medicine
Divisions: Divisions > Division of Natural Sciences > Kent and Medway Medical School
Funders: National Institute for Health Research (
Depositing User: Sukhwinder Singh Shergill
Date Deposited: 30 Jan 2023 11:24 UTC
Last Modified: 04 Mar 2024 19:38 UTC
Resource URI: (The current URI for this page, for reference purposes)

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