The development and validation of a digital biomarker for remote assessment of Alzheimer's diseases risk

Joe Butler, Tamlyn J Watermeyer*, Ellie Matterson, Emily G. Harper, Mario Parra-Rodriguez

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Background
Digital cognitive assessment is becoming increasingly widespread in ageing research and care, especially since the COVID-19 pandemic. Remote online collection provides opportunities for ageing and dementia professionals to collect larger datasets, increase the diversity of research participants and patients and offer cost-effective screening and monitoring methods for clinical practice and trials. However, the reliability of self-administered at-home tests compared to their lab-based counterparts often goes unexamined, compromising the validity of adopting such measures.
Objective
Our aim is to validate a self-administered web-based version of the visual short-term memory binding task (VSTMBT), a potential digital biomarker sensitive to Alzheimer's disease processes, suitable for use on personal devices.
Methods
A final cross-sectional sample of 37 older-adult (51–77 years) participants without dementia completed our novel self-administered version of the VSTMBT, both at home on a personal device and in the lab, under researcher-controlled conditions.
Results
ANOVA and Bayesian t-test found no significant differences between the task when it was remotely self-administered by participants at home compared to when it was taken under controlled lab conditions.
Conclusions
These results indicate the VSTMBT can provide reliable data when self-administered at-home using an online version of the task and on a personal device. This finding has important implications for remote screening and monitoring practices of older adults, as well as supporting clinical practices serving diverse patient communities. Future work will assess remote administration in older adults with cognitive impairment and diverse socio-economic and ethno-cultural backgrounds as well as a bench-to-bedside application.
Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalDigital Health
Volume10
Early online date23 Jan 2024
DOIs
Publication statusPublished - Jan 2024

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