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 …

This paper reviews the state-of-the-art neuromarkers development for the prognosis of
Alzheimer's disease (AD) and mild cognitive impairment (MCI). The first part of this paper is …

We studied the capability of a Hybrid functional neuroimaging technique to quantify human
mental workload (MWL). We have used electroencephalography (EEG) and functional near …

Background and objective Electroencephalogram (EEG) is one of the most demanded
screening tools that investigates the effects of Alzheimer's Disease (AD) on human brain …

This work proposes the application of a new electroencephalogram (EEG) signal processing
tool-the lacsogram-to characterize the Alzheimer's disease (AD) activity and to assist on its …

The efficient detection of neurological abnormalities (disorders) is very important in clinical
diagnosis for modern medical applications. As stated by the World Health Organization's …

Alzheimer's disease (AD) is a neurodegenerative disorder that causes a loss of connections
between neurons. The goal of this paper is to construct a complex network model of the …

Mild cognitive impairment (MCI) has been frequently interpreted as a transitional phase
between healthy cognitive aging and dementia, particularly of the Alzheimer's disease (AD) …

Background: Several studies investigated clinical and instrumental differences to make
diagnosis of dementia in general and in Alzheimer's disease (AD) in particular with the aim …

Introduction Alzheimer's disease (AD) is the leading cause of dementia worldwide, but its
pathophysiological phenomena are not fully elucidated. Many neurophysiological markers …