Validation of the Erlangen Score Algorithm for Differential Dementia Diagnosis in Autopsy-Confirmed Subjects

Journal article


Publication Details

Author(s): Somers C, Lewczuk P, Sieben A, Van Broeckhoven C, De Deyn PP, Kornhuber J, Martin JJ, Bjerke M, Engelborghs S
Journal: Journal of Alzheimers Disease
Publication year: 2019
Volume: 68
Journal issue: 3
Pages range: 1151-1159
ISSN: 1387-2877


Abstract

Background: Despite decades of research on the optimization of the diagnosis of Alzheimer's disease (AD), its biomarker-based diagnosis is being hampered by the lack of comparability of raw biomarker data. In order to overcome this limitation, the Erlangen Score (ES), among other approaches, was set up as a diagnostic-relevant interpretation algorithm.


FAU Authors / FAU Editors

Kornhuber, Johannes Prof. Dr. med.
Lehrstuhl für Psychiatrie und Psychotherapie
Lewczuk, Piotr Prof. Dr.
Psychiatrische und Psychotherapeutische Klinik


External institutions
Flanders Institute for Biotechnology / Vlaams Instituut voor Biotechnologie (VIB)
University of Antwerp / Universiteit Antwerpen


How to cite

APA:
Somers, C., Lewczuk, P., Sieben, A., Van Broeckhoven, C., De Deyn, P.P., Kornhuber, J.,... Engelborghs, S. (2019). Validation of the Erlangen Score Algorithm for Differential Dementia Diagnosis in Autopsy-Confirmed Subjects. Journal of Alzheimers Disease, 68(3), 1151-1159. https://dx.doi.org/10.3233/JAD-180563

MLA:
Somers, Charisse, et al. "Validation of the Erlangen Score Algorithm for Differential Dementia Diagnosis in Autopsy-Confirmed Subjects." Journal of Alzheimers Disease 68.3 (2019): 1151-1159.

BibTeX: 

Last updated on 2019-23-04 at 12:38