Globally, there is a huge unmet need for effective treatments for neurodegenerative
diseases. The complexity of the molecular mechanisms underlying neuronal degeneration …

Fast-spiking parvalbumin (PV) interneurons are inhibitory interneurons with unique
morphological and functional properties that allow them to precisely control local circuitry …

There has been an increasing trend towards the use of complexity analysis in quantifying
neural activity measured by electroencephalography (EEG) signals. On top of revealing …

Here we critically review studies that used electroencephalography (EEG) or event-related
potential (ERP) indices as a biomarker of Alzheimer's disease. In the first part we overview …

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 …

Alzheimer's disease (AD) is an age‐related neurodegenerative disorder characterized by
memory impairments. Brain oscillatory activity is critical for cognitive function and is altered …

This study addresses the problem of Alzheimer's disease (AD) diagnosis with
Electroencephalography (EEG). The use of EEG as a tool for AD diagnosis has been widely …

In this paper, we investigate the abnormalities of electroencephalograph (EEG) signals in
the Alzheimer's disease (AD) by analyzing 16-scalp electrodes EEG signals and make a …

OBJECTIVE: Multiscale entropy (MSE) is a recently proposed entropy-based index of
physiological complexity, evaluating signals at multiple temporal scales. To test this method …

The aim of the present study is to show the usefulness of nonlinear methods to analyse the
electroencephalogram (EEG) and magnetoencephalogram (MEG) in patients with …