Predicting disease progression in behavioral variant frontotemporal dementia.

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 mea

SUBMITTER: Anderl-Straub S 

PROVIDER: S-EPMC8719425 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature