[HTML][HTML] Removal of artifacts from EEG signals: a review

X Jiang, GB Bian, Z Tian - Sensors, 2019 - mdpi.com
Electroencephalogram (EEG) plays an important role in identifying brain activity and
behavior. However, the recorded electrical activity always be contaminated with artifacts and …

[HTML][HTML] International Federation of Clinical Neurophysiology (IFCN)–EEG research workgroup: Recommendations on frequency and topographic analysis of resting …

C Babiloni, RJ Barry, E Başar, KJ Blinowska… - Clinical …, 2020 - Elsevier
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 …

Opportunities and methodological challenges in EEG and MEG resting state functional brain network research

E Van Diessen, T Numan, E Van Dellen… - Clinical …, 2015 - Elsevier
Electroencephalogram (EEG) and magnetoencephalogram (MEG) recordings during resting
state are increasingly used to study functional connectivity and network topology. Moreover …

Passive BCI beyond the lab: current trends and future directions

P Aricò, G Borghini, G Di Flumeri… - Physiological …, 2018 - iopscience.iop.org
Over the last decade, passive brain–computer interface (BCI) algorithms and biosignal
acquisition technologies have experienced a significant growth that has allowed the real …

[HTML][HTML] Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends

G Chiarion, L Sparacino, Y Antonacci, L Faes, L Mesin - Bioengineering, 2023 - mdpi.com
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

[HTML][HTML] Graph-based analysis of brain connectivity in schizophrenia

E Olejarczyk, W Jernajczyk - PloS one, 2017 - journals.plos.org
The present study evaluated brain connectivity using electroencephalography (EEG) data
from 14 patients with schizophrenia and 14 healthy controls. Phase-Locking Value (PLV) …

Consistency of EEG source localization and connectivity estimates

K Mahjoory, VV Nikulin, L Botrel, K Linkenkaer-Hansen… - Neuroimage, 2017 - Elsevier
As the EEG inverse problem does not have a unique solution, the sources reconstructed
from EEG and their connectivity properties depend on forward and inverse modeling …

[HTML][HTML] Which reference should we use for EEG and ERP practice?

D Yao, Y Qin, S Hu, L Dong, ML Bringas Vega… - Brain topography, 2019 - Springer
Which reference is appropriate for the scalp ERP and EEG studies? This unsettled problem
still inspires unceasing debate. The ideal reference should be the one with zero or constant …

[HTML][HTML] A review of issues related to data acquisition and analysis in EEG/MEG studies

A Puce, MS Hämäläinen - Brain sciences, 2017 - mdpi.com
Electroencephalography (EEG) and magnetoencephalography (MEG) are non-invasive
electrophysiological methods, which record electric potentials and magnetic fields due to …

Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: I. Evaluation with auditory oddball tasks

J Kayser, CE Tenke - Clinical neurophysiology, 2006 - Elsevier
OBJECTIVE: To evaluate the effectiveness and comparability of PCA-based simplifications
of ERP waveforms versus their reference-free Laplacian transformations for separating task …