| Literature DB >> 29455029 |
Konstantinos Poulakis1, Joana B Pereira2, Patrizia Mecocci3, Bruno Vellas4, Magda Tsolaki5, Iwona Kłoszewska6, Hilkka Soininen7, Simon Lovestone8, Andrew Simmons9, Lars-Olof Wahlund2, Eric Westman10.
Abstract
There is increasing evidence showing that brain atrophy varies between patients with Alzheimer's disease (AD), suggesting that different anatomical patterns might exist within the same disorder. We investigated AD heterogeneity based on cortical and subcortical atrophy patterns in 299 AD subjects from 2 multicenter cohorts. Clusters of patients and important discriminative features were determined using random forest pairwise similarity, multidimensional scaling, and distance-based hierarchical clustering. We discovered 2 typical (72.2%) and 3 atypical (28.8%) subtypes with significantly different demographic, clinical, and cognitive characteristics, and different rates of cognitive decline. In contrast to previous studies, our unsupervised random forest approach based on cortical and subcortical volume measures and their linear and nonlinear interactions revealed more typical AD subtypes with important anatomically discriminative features, while the prevalence of atypical cases was lower. The hippocampal-sparing and typical AD subtypes exhibited worse clinical progression in visuospatial, memory, and executive cognitive functions. Our findings suggest there is substantial heterogeneity in AD that has an impact on how patients function and progress over time.Entities:
Keywords: Alzheimer's disease; Cluster analyses; Cortical volumes; Random forest similarity; Structural magnetic resonance imaging; Subcortical volumes
Mesh:
Year: 2018 PMID: 29455029 DOI: 10.1016/j.neurobiolaging.2018.01.009
Source DB: PubMed Journal: Neurobiol Aging ISSN: 0197-4580 Impact factor: 4.673