Baseline multimodal imaging to predict longitudinal clinical decline in atypical Alzheimer's disease.

ABSTRACT: There are recognized neuroimaging regions of interest in typical Alzheimer's disease which have been used to track disease progression and aid prognostication. However, there is a need for validated baseline imaging markers to predict clinical decline in atypical Alzheimer's Disease. We aimed to address this need by producing models from baseline imaging features using penalized regression and evaluating their predictive performance on various clinical measures. Baseline multimodal imaging data, in combination with clinical testing data at two time points from 46 atypical Alzheimer's Disease patients with a diagnosis of logopenic progressive aphasia (N = 24) or posterior cortical atrophy (N = 22), were used to generate our models. An additional 15 patients (logopenic progressive aphasia = 

SUBMITTER: Coburn RP 

PROVIDER: S-EPMC11532010 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature