This paper reviews recent progress in the diagnosis of Alzheimer's disease (AD) from
electroencephalograms (EEG). Three major effects of AD on EEG have been observed …

The early detection and classification of dementia are important clinical support tasks for
medical practitioners in customizing patient treatment programs to better manage the …

Aging involves a decline in neural function that contributes to cognitive impairment and
disease. However, the mechanisms underlying the transition from a young-and-healthy to …

Abstract Background Alzheimer's Disease (AD) is a neurodegenaritive disorder
characterized by a progressive dementia, for which actually no cure is known. An early …

A new chaos–wavelet approach is presented for electroencephalogram (EEG)-based
diagnosis of Alzheimer's disease (AD) employing a recently developed concept in graph …

A growing body of literature has investigated changes in eye movements as a result of
Alzheimer's disease (AD). When compared to healthy, age-matched controls, patients …

Every year the Alzheimer's Association publishes a report that provides facts and figures
indicating the public health, social and economic impact of Alzheimer's disease (AD). In …

Sleep–wake disturbances are a highly prevalent and often disabling feature of Alzheimer's
disease (AD). A cardinal feature of AD includes the formation of amyloid plaques, associated …

We investigated whether cognitive decline could be explained by resting-state
electroencephalography (EEG) biomarkers measured in prefrontal regions that reflect the …

The advent of mobile electroencephalography (mEEG) has created a means for large scale
collection of neural data thus affording a deeper insight into cognitive phenomena such as …