The science of large-scale brain networks offers a powerful paradigm for investigating
cognitive and affective dysfunction in psychiatric and neurological disorders. This review …

Research in animals and humans has associated Alzheimer's disease (AD) with decreased
cerebrospinal fluid levels of insulin in combination with decreased insulin sensitivity (insulin …

Background Graph theory and machine learning have been shown to be effective ways of
classifying different stages of Alzheimer's disease (AD). Most previous studies have only …

The rapid demographical shift occurring in our society implies that understanding of healthy
aging and age-related diseases is one of our major future challenges. Sensory impairments …

Introduction Mild cognitive impairment (MCI) is associated with an increased risk of
developing dementia. However, many individuals diagnosed with MCI are found to have …

Recent resting-state functional magnetic resonance imaging (rs-fMRI) studies have provided
strong evidence of abnormal spontaneous brain activity in amnestic mild cognitive …

Background Whereas acute nicotine administration alters brain function which may, in turn,
contribute to enhanced attention and performance, chronic cigarette smoking is linked with …

Alzheimer's disease (AD) is an aging-related multi-factorial disorder to which metabolic
factors contribute at what has canonically been considered a centrally mediated process …

Background: Voxel-based morphometry (VBM) has been widely used to investigate
structural alterations in amnesia mild cognitive impairment (aMCI). However, inconsistent …

In early Alzheimer's disease, which initially presents with progressive loss of short-term
memory, neurodegeneration especially affects cholinergic neurons of the basal forebrain …