Evidence map›Paper›PMID 39886066›Full record

ArticleBrain communications2025

Performance and validation of a digital memory test across the Alzheimer's disease continuum.

Sofia Toniolo, Bahaaeddin Attaallah, Maria Raquel Maio, Younes Adam Tabi, Elitsa Slavkova, Verena Svenja Klar, Youssuf Saleh, Mohamad Imran Idris, Vicky Turner, Christoph Preul and 6 more

Abstract read
In one paragraph

Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Working Memory Deficits in Hippocampal Amnesia are Associated with Apathy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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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

16 authors.

Sofia TonioloNuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Bahaaeddin AttaallahNuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Maria Raquel MaioNuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Younes Adam TabiNuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Elitsa SlavkovaNuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Verena Svenja KlarDepartment of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK.
Youssuf SalehNuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Mohamad Imran IdrisNuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Vicky TurnerNuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
Christoph PreulDepartment of Neurology, Memory Center, Jena University Hospital, Jena 07747, Germany.
Annie SrowigDepartment of Neurology, Memory Center, Jena University Hospital, Jena 07747, Germany.
Christopher ButlerCognitive Disorders Clinic, JR Hospital, Oxford OX3 9DU, UK.
Sian ThompsonCognitive Disorders Clinic, JR Hospital, Oxford OX3 9DU, UK.
Sanjay G ManoharNuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.ORCID https://orcid.org/0000-0003-0735-4349
Kathrin FinkeDepartment of Neurology, Memory Center, Jena University Hospital, Jena 07747, Germany.
Masud HusainNuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.ORCID https://orcid.org/0000-0002-6850-9255

Funding

Wellcome Trust
6 · The paper itself

Abstract

Digital cognitive testing using online platforms has emerged as a potentially transformative tool in clinical neuroscience. In theory, it could provide a powerful means of screening for and tracking cognitive performance in people at risk of developing conditions such as Alzheimer's disease. Here we investigate whether digital metrics derived from an in-person administered, tablet-based short-term memory task-the 'What was where?' Oxford Memory Task-were able to clinically stratify patients at different points within the Alzheimer's disease continuum and to track disease progression over time. Performance of these metrics compared to traditional neuropsychological pen-and-paper screening tests of cognition was also analysed. A total of 325 people participated in this study: 49 patients with subjective cognitive decline, 57 with mild cognitive impairment, 63 with Alzheimer's disease dementia and 156 elderly healthy controls. Most digital metrics were able to discriminate between healthy controls and patients with mild cognitive impairment and between mild cognitive impairment and Alzheimer's disease patients. Some, including Absolute Localization Error, also differed significantly between patients with subjective cognitive decline and mild cognitive impairment. Identification accuracy was the best predictor of hippocampal atrophy, performing as well as standard screening neuropsychological tests. A linear support vector model combining digital metrics achieved high accuracy and performed at par with standard testing in discriminating between elderly healthy controls and subjective cognitive decline (area under the curve 0.82) and between subjective cognitive decline and mild cognitive impairment (area under the curve 0.92), while performing worse in classifying between mild cognitive impairment and Alzheimer's disease patients (area under the curve 0.75). Memory imprecision was able to predict cognitive decline on standard cognitive tests over one year. Overall, these findings show how it might be possible to use a digital memory test in clinics and clinical trial contexts to stratify and track performance across the Alzheimer's disease continuum.

Indexed as

Alzheimer’s diseasecognitiondementiadigital biomarkersonline testing

Identifiers

PMID39886066
PMCPMC11780857

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Registered trials

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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.