Remote and unsupervised digital memory assessments can reliably detect cognitive impairment in Alzheimer's disease
- PMID: 38867417
- PMCID: PMC11247711
- DOI: 10.1002/alz.13919
Remote and unsupervised digital memory assessments can reliably detect cognitive impairment in Alzheimer's disease
Abstract
Introduction: Remote unsupervised cognitive assessments have the potential to complement and facilitate cognitive assessment in clinical and research settings.
Methods: Here, we evaluate the usability, validity, and reliability of unsupervised remote memory assessments via mobile devices in individuals without dementia from the Swedish BioFINDER-2 study and explore their prognostic utility regarding future cognitive decline.
Results: Usability was rated positively; remote memory assessments showed good construct validity with traditional neuropsychological assessments and were significantly associated with tau-positron emission tomography and downstream magnetic resonance imaging measures. Memory performance at baseline was associated with future cognitive decline and prediction of future cognitive decline was further improved by combining remote digital memory assessments with plasma p-tau217. Finally, retest reliability was moderate for a single assessment and good for an aggregate of two sessions.
Discussion: Our results demonstrate that unsupervised digital memory assessments might be used for diagnosis and prognosis in Alzheimer's disease, potentially in combination with plasma biomarkers.
Highlights: Remote and unsupervised digital memory assessments are feasible in older adults and individuals in early stages of Alzheimer's disease. Digital memory assessments are associated with neuropsychological in-clinic assessments, tau-positron emission tomography and magnetic resonance imaging measures. Combination of digital memory assessments with plasma p-tau217 holds promise for prognosis of future cognitive decline. Future validation in further independent, larger, and more diverse cohorts is needed to inform clinical implementation.
Keywords: Alzheimer's disease; ambulatory assessments; blood‐based biomarkers; digital cognitive markers; ecological momentary assessments; mHealth; memory; plasma marker; smartphone‐based unsupervised assessments.
© 2024 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.
Conflict of interest statement
O.H. has acquired research support (for the institution) from ADx, AVID Radiopharmaceuticals, Biogen, Eli Lilly, Eisai, Fujirebio, GE Healthcare, Pfizer, and Roche. In the past 2 years, he has received consultancy/speaker fees from AC Immune, Amylyx, Alzpath, BioArctic, Biogen, Cerveau, Eisai, Eli Lilly, Fujirebio, Merck, Novartis, Novo Nordisk, Roche, Sanofi and Siemens. S.P. has acquired research support (for the institution) from ki elements/ADDF and Avid. In the past 2 years, he has received consultancy/speaker fees from Bioarctic, Biogen, Eisai, Lilly, and Roche. E.D. reports personal fees from Biogen, Roche, Lilly, Eisai and UCL Consultancy as well as non‐financial support from Rox Health. D.B. and E.D. are scientific co‐founders of neotiv GmbH and own company shares. The other authors report no competing interests. Author disclosures are available in the supporting information.
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- 2022-00775 2018-02052/Swedish Research Council
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