Alzheimer's disease (AD) is the most prevalent neurodegenerative disease in ageing,
affecting around 46 million people worldwide but few treatments are currently available. The …

Alzheimer's disease (AD) is a neurodegenerative disease causing progressive cognitive
decline until eventual death. AD affects millions of individuals worldwide in the absence of …

Background Electroencephalogram (EEG) has emerged as a non-invasive tool to detect the
aberrant neuronal activity related to different stages of Alzheimer's disease (AD). However …

Alzheimer's disease (AD) has become a problem, owing to its high prevalence in an aging
society with no treatment available after onset. However, early diagnosis is essential for …

Detecting mild cognitive impairment (MCI) from electroencephalography (EEG) data is a
challenging problem as existing methods rely on machine learning based shallow …

Objective. This study aims to design and implement the first deep learning (DL) model to
classify subjects in the prodromic states of Alzheimer's disease (AD) based on resting-state …

Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders in the
world. Although there is no known cure for it at the present, preventive drug trials and …

Background: Chronic traumatic encephalopathy, diagnosed postmortem
(hyperphosphorylated tau), is preceded by traumatic encephalopathy syndrome with …

Background: Electroencephalography (EEG) signal analysis is a rapid, low-cost, and
practical method for diagnosing the early stages of dementia, including mild cognitive …

Introduction Exercise is recognized as a modifiable lifestyle factor that can mitigate cognitive
decline and dementia risk. While the benefits of exercise on cognitive aging have been …