Alzheimer's disease (AD) is a major threat for the well-being of an increasingly aged world population. The physiopathological mechanisms of late-onset AD are multiple, possibly heterogeneous, and not well understood. Different combinations of variables from several domains (i.e., clinical, neuropsychological, structural, and biochemical markers) may predict dementia conversion, according to distinct physiopathological pathways, in different groups of subjects.We launched the Vallecas Project (VP), a cohort study of non-demented people aged 70-85, to characterize the social, clinical, neuropsychological, structural, and biochemical underpinnings of AD inception. Given the exploratory nature of the VP, multidimensional and machine learning techniques will be applied, in addition to the traditional multivariate statistical methods.A total of 1169 subjects were recruited between October 2011 and December 2013. Mean age was 74.4 years (SD 3.9), 63.5

作者：Javier, Olazarán；Meritxell, Valentí；Belén, Frades；María Ascensión, Zea-Sevilla；Marina, ávila-Villanueva；Miguel ángel, Fernández-Blázquez；Miguel, Calero；José Luis, Dobato；Juan Antonio, Hernández-Tamames；Beatriz, León-Salas；Luis, Agüera-Ortiz；Jorge, López-álvarez；Pedro, Larra?aga；Concha, Bielza；Juan, álvarez-Linera；Pablo, Martínez-Martín

来源：Frontiers in aging neuroscience 2015 年 7卷