萎缩
认知
大脑大小
神经科学
阿尔茨海默病
判别式
疾病
心理学
脑形态计量学
医学
病理
磁共振成像
人工智能
计算机科学
放射科
作者
Konstantinos Poulakis,Joana B. Pereira,Patrizia Mecocci,Bruno Vellas,Magda Tsolaki,Iwona Kłoszewska,Hilkka Soininen,Simon Lovestone,Andrew Simmons,Lars‐Olof Wahlund,Eric Westman
标识
DOI:10.1016/j.neurobiolaging.2018.01.009
摘要
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.
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