Predicting disease progression in behavioral variant frontotemporal dementia

Anderl-Straub S, Lausser L, Lombardi J, Uttner I, Fassbender K, Fliessbach K, Huppertz HJ, Jahn H, Kornhuber J, Obrig H, Schneider A, Semler E, Synofzik M, Danek A, Prudlo J, Kassubek J, Landwehrmeyer B, Lauer M, Volk AE, Wiltfang J, Diehl-Schmid J, Ludolph AC, Schroeter ML, Kestler HA, Otto M (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring Wiley

Book Volume: 13

Journal Issue: 1

DOI: 10.1002/dad2.12262

Abstract

Introduction The behavioral variant of frontotemporal dementia (bvFTD) is a rare neurodegenerative disease. Reliable predictors of disease progression have not been sufficiently identified. We investigated multivariate magnetic resonance imaging (MRI) biomarker profiles for their predictive value of individual decline. Methods One hundred five bvFTD patients were recruited from the German frontotemporal lobar degeneration (FTLD) consortium study. After defining two groups ("fast progressors" vs. "slow progressors"), we investigated the predictive value of MR brain volumes for disease progression rates performing exhaustive screenings with multivariate classification models. Results We identified areas that predict disease progression rate within 1 year. Prediction measures revealed an overall accuracy of 80% across our 50 top classification models. Especially the pallidum, middle temporal gyrus, inferior frontal gyrus, cingulate gyrus, middle orbitofrontal gyrus, and insula occurred in these models. Discussion Based on the revealed marker combinations an individual prognosis seems to be feasible. This might be used in clinical studies on an individualized progression model.

Authors with CRIS profile

Johannes Kornhuber Lehrstuhl für Psychiatrie und Psychotherapie

Involved external institutions

Universität Ulm DE Germany (DE) Universität des Saarlandes (UdS) DE Germany (DE) Universitätsklinikum Bonn DE Germany (DE) Schweizerische Epilepsie-Klinik - Klinik Lengg CH Switzerland (CH) Universitätsklinikum Hamburg-Eppendorf (UKE) DE Germany (DE) Universitätsklinikum Leipzig DE Germany (DE) Eberhard Karls Universität Tübingen DE Germany (DE) Ludwig-Maximilians-Universität (LMU) DE Germany (DE) Universität Rostock DE Germany (DE) Julius-Maximilians-Universität Würzburg DE Germany (DE) Universitätsklinikum Göttingen DE Germany (DE) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Anderl-Straub, S., Lausser, L., Lombardi, J., Uttner, I., Fassbender, K., Fliessbach, K.,... Otto, M. (2021). Predicting disease progression in behavioral variant frontotemporal dementia. Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring, 13(1). https://doi.org/10.1002/dad2.12262

MLA:

Anderl-Straub, Sarah, et al. "Predicting disease progression in behavioral variant frontotemporal dementia." Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring 13.1 (2021).

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