Remote and unsupervised digital memory assessments can reliably detect cognitive impairment in Alzheimer's disease
Berron, David LU ; Olsson, Emil LU ; Andersson, Felix ; Janelidze, Shorena LU ; Tideman, Pontus LU ; Düzel, Emrah ; Palmqvist, Sebastian LU
; Stomrud, Erik
LU
and Hansson, Oskar
LU
(2024)
In Alzheimer's and Dementia
20(7).
p.4775-4791
- 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... (More)
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.
(Less)
- author
- Berron, David
LU
; Olsson, Emil
LU
; Andersson, Felix
; Janelidze, Shorena
LU
; Tideman, Pontus
LU
; Düzel, Emrah
; Palmqvist, Sebastian
LU
; Stomrud, Erik
LU
and Hansson, Oskar
LU
- organization
- publishing date
- 2024-07
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Alzheimer's disease, ambulatory assessments, blood-based biomarkers, digital cognitive markers, ecological momentary assessments, memory, mHealth, plasma marker, smartphone-based unsupervised assessments
- in
- Alzheimer's and Dementia
- volume
- 20
- issue
- 7
- pages
- 17 pages
- publisher
- Wiley
- external identifiers
-
- scopus:85195640247
- pmid:38867417
- ISSN
- 1552-5260
- DOI
- 10.1002/alz.13919
- language
- English
- LU publication?
- yes
- id
- c2d6b864-5fa6-46ae-a648-1d3be211d30c
- date added to LUP
- 2024-09-30 10:08:17
- date last changed
- 2025-07-09 00:51:44
@article{c2d6b864-5fa6-46ae-a648-1d3be211d30c,
abstract = {{<p>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.</p>}},
author = {{Berron, David and Olsson, Emil and Andersson, Felix and Janelidze, Shorena and Tideman, Pontus and Düzel, Emrah and Palmqvist, Sebastian and Stomrud, Erik and Hansson, Oskar}},
issn = {{1552-5260}},
keywords = {{Alzheimer's disease; ambulatory assessments; blood-based biomarkers; digital cognitive markers; ecological momentary assessments; memory; mHealth; plasma marker; smartphone-based unsupervised assessments}},
language = {{eng}},
number = {{7}},
pages = {{4775--4791}},
publisher = {{Wiley}},
series = {{Alzheimer's and Dementia}},
title = {{Remote and unsupervised digital memory assessments can reliably detect cognitive impairment in Alzheimer's disease}},
url = {{http://dx.doi.org/10.1002/alz.13919}},
doi = {{10.1002/alz.13919}},
volume = {{20}},
year = {{2024}},
}