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Remote digital cognitive assessment for aging and dementia using the Oxford Cognitive Testing Portal OCTAL

Abstract:
The global rise in dementia necessitates scalable cognitive assessments that can evolve to serve both clinical and research applications. We present the Oxford Cognitive Testing Portal (OCTAL), a remote, browser-based platform providing performance metrics for memory, attention, visuospatial and executive function domains. Four validation studies (N = 1664) confirmed cross-cultural applicability, lifespan sensitivity and clinical utility. Task performance was equivalent in English- and Chinese-speaking younger adults and mapped domain-specific ageing trajectories in mid- to late-adulthood. In a memory-clinic cohort (N = 194), 5-minute OCTAL screen distinguished patients with Alzheimer’s disease dementia from subjective cognitive decline (AUC = 0.92), matching a standard paper-based test, while a 20-minute subset surpassed this (AUC = 0.97; p = 0.04). Test-retest reliability was very good (ICC ≥ 0.79; N = 118). OCTAL enables remote assessment for large-scale research and screening, with an open, modular architecture that makes it a uniquely sustainable and evolvable tool for the research community.
Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Sub department:
Experimental Psychology
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Sub department:
Experimental Psychology
Role:
Author


More from this funder
Funder identifier:
https://ror.org/029chgv08
Grant:
226645/Z/22/Z
More from this funder
Funder identifier:
https://ror.org/03x94j517
Grant:
MR/P00878/X


Publisher:
Nature Research
Journal:
npj Digital Medicine More from this journal
Volume:
9
Issue:
1
Article number:
162
Publication date:
2026-01-15
Acceptance date:
2026-01-06
DOI:
EISSN:
2398-6352
ISSN:
2398-6352


Language:
English
Keywords:
Source identifiers:
3764407
Deposit date:
2026-02-16
ARK identifier:
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