Remote and unsupervised digital memory assessments can reliably detect cognitive impairment in Alzheimer’s disease
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.
Authors
- Emrah Düzel (ORCID: https://orcid.org/0000-0002-0139-5388)
- David Berron (ORCID: https://orcid.org/0000-0003-1558-1883)
- Sebastian Palmqvist (ORCID: https://orcid.org/0000-0002-9267-1930)
- Erik Stomrud (ORCID: https://orcid.org/0000-0002-0841-5580)
- Pontus Tideman (ORCID: https://orcid.org/0000-0002-9620-7115)
- Oskar Hansson (ORCID: https://orcid.org/0000-0001-8467-7286)
- Emil Olsson
- Felix Andersson
- Shorena Janelidze
Institutions
- Lund University (SE)
- German Center for Neurodegenerative Diseases (DE)
- Skåne University Hospital (SE)
- University College London (GB)
- Otto-von-Guericke-Universität Magdeburg (DE)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.086091
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00