Alzheimer disease (AD) is biologically defined by the presence of β-amyloid-containing
plaques and tau-containing neurofibrillary tangles. AD is a genetic and sporadic …

The NINCDS–ADRDA and the DSM-IV-TR criteria for Alzheimer's disease (AD) are the
prevailing diagnostic standards in research; however, they have now fallen behind the …

For the last decade, it has been shown that neuroimaging can be a potential tool for the
diagnosis of Alzheimer's Disease (AD) and its prodromal stage, Mild Cognitive Impairment …

Recently, there have been great interests for computer-aided diagnosis of Alzheimer's
disease (AD) and its prodromal stage, mild cognitive impairment (MCI). Unlike the previous …

It is currently unclear whether plasma biomarkers can be used as independent prognostic
tools to predict changes associated with early Alzheimer's disease. In this study, we sought …

Effective and accurate diagnosis of Alzheimer's disease (AD), as well as its prodromal stage
(ie, mild cognitive impairment (MCI)), has attracted more and more attention recently. So far …

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 Mild cognitive impairment (MCI) due to Alzheimer's disease is the symptomatic
predementia phase of Alzheimer's disease dementia, characterised by cognitive and …

Background Alzheimer's disease (AD) is the most common form of dementia, characterized
by progressive cognitive impairment and neurodegeneration. However, despite extensive …

One of the major neuropathological findings in the brains of individuals with Alzheimer's
disease (AD) is a loss of synaptic contacts in both the neocortex and hippocampus. Here we …