Alzheimer's disease (AD) is a neurodegenerative disorder that accounts for nearly 70% of
the more than 46 million dementia cases estimated worldwide. Although there is no cure for …

Alzheimer's disease (AD) is the most common neurodegenerative disease among the
elderly with a progressive decline in cognitive function significantly affecting quality of life …

In this paper, we explore the utility of resting-state EEG measures as potential biomarkers for
the detection and assessment of cognitive decline in mild cognitive impairment (MCI) and …

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 …

Electroencephalography (EEG) signal analysis is a fast, inexpensive, and accessible
technique to detect the early stages of dementia, such as Mild Cognitive Impairment (MCI) …

Neuroscientists have long observed that brain activity is naturally variable from moment-to-
moment, but neuroimaging research has largely ignored the potential importance of this …

Abstract The Electrophysiology Professional Interest Area (EPIA) and Global Brain
Consortium endorsed recommendations on candidate electroencephalography (EEG) …

Current state-of-the-art diagnostic measures of Alzheimer's disease (AD) are invasive
(cerebrospinal fluid analysis), expensive (neuroimaging) and time-consuming …

Background Although numerous electroencephalogram (EEG) studies have described
differences in functional connectivity in Alzheimer's disease (AD) compared to healthy …

In recent years, the concept of entropy has been widely used to measure the dynamic
complexity of signals. Since the state of complexity of human beings is significantly affected …