[HTML][HTML] International Federation of Clinical Neurophysiology (IFCN)–EEG research workgroup: Recommendations on frequency and topographic analysis of resting …
Abstract In 1999, the International Federation of Clinical Neurophysiology (IFCN) published
“IFCN Guidelines for topographic and frequency analysis of EEGs and EPs”(Nuwer et al …
“IFCN Guidelines for topographic and frequency analysis of EEGs and EPs”(Nuwer et al …
Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts
PM Rossini, R Di Iorio, F Vecchio, M Anfossi… - Clinical …, 2020 - Elsevier
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 …
elderly with a progressive decline in cognitive function significantly affecting quality of life …
A convolutional neural network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings
A data-driven machine deep learning approach is proposed for differentiating subjects with
Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI) and Healthy Control (HC), by …
Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI) and Healthy Control (HC), by …
Efficient deep neural networks for classification of Alzheimer's disease and mild cognitive impairment from scalp EEG recordings
The early diagnosis of subjects with mild cognitive impairment (MCI) is an effective
appliance of prognosis of Alzheimer's disease (AD). Electroencephalogram (EEG) has many …
appliance of prognosis of Alzheimer's disease (AD). Electroencephalogram (EEG) has many …
Brain neural synchronization and functional coupling in Alzheimer's disease as revealed by resting state EEG rhythms
C Babiloni, R Lizio, N Marzano, P Capotosto… - International Journal of …, 2016 - Elsevier
Alzheimer's disease (AD) is the most common type of neurodegenerative disorder, typically
causing dementia along aging. AD is mainly characterized by a pathological extracellular …
causing dementia along aging. AD is mainly characterized by a pathological extracellular …
[HTML][HTML] Review on solving the inverse problem in EEG source analysis
R Grech, T Cassar, J Muscat, KP Camilleri… - … of neuroengineering and …, 2008 - Springer
In this primer, we give a review of the inverse problem for EEG source localization. This is
intended for the researchers new in the field to get insight in the state-of-the-art techniques …
intended for the researchers new in the field to get insight in the state-of-the-art techniques …
Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: recommendations of an expert panel
Abstract The Electrophysiology Professional Interest Area (EPIA) and Global Brain
Consortium endorsed recommendations on candidate electroencephalography (EEG) …
Consortium endorsed recommendations on candidate electroencephalography (EEG) …
EEG dynamics in patients with Alzheimer's disease
J Jeong - Clinical neurophysiology, 2004 - Elsevier
Alzheimer's disease (AD) is the most common neurodegenerative disorder characterized by
cognitive and intellectual deficits and behavior disturbance. The electroencephalogram …
cognitive and intellectual deficits and behavior disturbance. The electroencephalogram …
EEG source imaging
Objective: Electroencephalography (EEG) is an important tool for studying the temporal
dynamics of the human brain's large-scale neuronal circuits. However, most EEG …
dynamics of the human brain's large-scale neuronal circuits. However, most EEG …
EEG and ERP biomarkers of Alzheimer's disease: a critical review.
A Horvath, A Szucs, G Csukly, A Sakovics… - Frontiers in bioscience …, 2018 - real.mtak.hu
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 …
potential (ERP) indices as a biomarker of Alzheimer's disease. In the first part we overview …