Diagnosis of Alzheimer's disease from EEG signals: where are we standing?

J Dauwels, F Vialatte, A Cichocki - Current Alzheimer Research, 2010 - ingentaconnect.com
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 …

A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG

J Dauwels, F Vialatte, T Musha, A Cichocki - NeuroImage, 2010 - Elsevier
It is well known that EEG signals of Alzheimer's disease (AD) patients are generally less
synchronous than in age-matched control subjects. However, this effect is not always easily …

[HTML][HTML] Diagnosis of Alzheimer's disease with Electroencephalography in a differential framework

N Houmani, F Vialatte, E Gallego-Jutglà, G Dreyfus… - PloS one, 2018 - journals.plos.org
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 …

Deep learning representation from electroencephalography of early-stage Creutzfeldt-Jakob disease and features for differentiation from rapidly progressive dementia

FC Morabito, M Campolo, N Mammone… - … journal of neural …, 2017 - World Scientific
A novel technique of quantitative EEG for differentiating patients with early-stage Creutzfeldt–
Jakob disease (CJD) from other forms of rapidly progressive dementia (RPD) is proposed …

Longitudinal evaluation of EEG-based biometric recognition

E Maiorana, P Campisi - IEEE transactions on Information …, 2017 - ieeexplore.ieee.org
Brain signals have recently attracted the attention of the scientific community as potential
biometric identifiers. In more detail, there is a growing interest in evaluating the feasibility of …

EEG classification of imagined syllable rhythm using Hilbert spectrum methods

S Deng, R Srinivasan, T Lappas… - Journal of neural …, 2010 - iopscience.iop.org
We conducted an experiment to determine whether the rhythm with which imagined
syllables are produced may be decoded from EEG recordings. High density EEG data were …

Time-frequency maximal information coefficient method and its application to functional corticomuscular coupling

T Liang, Q Zhang, X Liu, C Lou, X Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
An important challenge in the study of functional corticomuscular coupling (FCMC) is an
accurate capture of the coupling relationship between the cerebral cortex and the effector …

EEG synchrony analysis for early diagnosis of Alzheimer's disease: a study with several synchrony measures and EEG data sets

J Dauwels, F Vialatte, C Latchoumane… - … Conference of the …, 2009 - ieeexplore.ieee.org
It has frequently been reported in the medical literature that the EEG of Alzheimer disease
(AD) patients is less synchronous than in healthy subjects. In this paper, it is explored …

Reorganization of functional connectivity during the motor task using EEG time–frequency cross mutual information analysis

CF Lu, S Teng, CI Hung, PJ Tseng, LT Lin, PL Lee… - Clinical …, 2011 - Elsevier
OBJECTIVE: This study investigates the functional organization of cortical networks during
self-determinant arm movement using the time sequences of the alpha (8–12Hz) and beta …

Understanding neurodynamical systems via fuzzy symbolic dynamics

K Dobosz, W Duch - Neural Networks, 2010 - Elsevier
Neurodynamical systems are characterized by a large number of signal streams, measuring
activity of individual neurons, local field potentials, aggregated electrical (EEG) or magnetic …