Many machine learning and pattern classification methods have been applied to the
diagnosis of Alzheimer's disease (AD) and its prodromal stage, ie, mild cognitive impairment …

Background To examine the effects of a multicomponent exercise program on the cognitive
function of older adults with amnestic mild cognitive impairment (aMCI). Methods Design …

Abstract Background Patients with Mild Cognitive Impairment (MCI) are at high risk of
progression to Alzheimer's dementia. Identifying MCI individuals with high likelihood of …

Our aim was to identify the best diagnostic test sequence for predicting Alzheimer's disease
(AD)-type dementia in subjects with mild cognitive impairment (MCI) using cerebrospinal …

Alzheimer's disease (AD) is the most common cause of dementia in elderly people in
western countries. However important goals are unmet in the issue of early diagnosis and …

Introduction Hippocampus volumetry is a useful surrogate marker for the diagnosis of
Alzheimer's disease (AD). Our purpose was to compare visual assessment of medial …

In this paper, we propose a fully automated method to individually classify patients with
Alzheimer's disease (AD) and elderly control subjects based on diffusion tensor (DTI) and …

Background Recent work has demonstrated the potentially protective effects of the
apolipoprotein E (APOE) ɛ2 allele on cognitive functioning in individuals at risk for …

Background: Several structural brain changes have been associated with Alzheimer's
disease (AD). This study investigated the prediction of AD by combining multiple brain …

The neurochemical alterations in the entorhinal cortex have not yet been measured, even
though the entorhinal cortex is the earliest involved brain region in aMCI. In this study, we …