[HTML][HTML] EEG source imaging: a practical review of the analysis steps

CM Michel, D Brunet - Frontiers in neurology, 2019 - frontiersin.org
The electroencephalogram (EEG) is one of the oldest technologies to measure neuronal
activity of the human brain. It has its undisputed value in clinical diagnosis, particularly (but …

The standardized EEG electrode array of the IFCN

M Seeck, L Koessler, T Bast, F Leijten, C Michel… - Clinical …, 2017 - Elsevier
Standardized EEG electrode positions are essential for both clinical applications and
research. The aim of this guideline is to update and expand the unifying nomenclature and …

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces

VJ Lawhern, AJ Solon, NR Waytowich… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Brain–computer interfaces (BCI) enable direct communication with a computer,
using neural activity as the control signal. This neural signal is generally chosen from a …

[HTML][HTML] Neurofeedback: a comprehensive review on system design, methodology and clinical applications

H Marzbani, HR Marateb… - Basic and clinical …, 2016 - ncbi.nlm.nih.gov
Neurofeedback is a kind of biofeedback, which teaches self-control of brain functions to
subjects by measuring brain waves and providing a feedback signal. Neurofeedback usually …

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 …

Self-distancing: Theory, research, and current directions

E Kross, O Ayduk - Advances in experimental social psychology, 2017 - Elsevier
When people experience negative events, they often try to understand their feelings to
improve the way they feel. Although engaging in this meaning-making process leads people …

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 …

Electrophysiological brain connectivity: theory and implementation

B He, L Astolfi, PA Valdés-Sosa… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
We review the theory and algorithms of electrophysiological brain connectivity analysis. This
tutorial is aimed at providing an introduction to brain functional connectivity from …

[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] Brain structural and functional connectivity: a review of combined works of diffusion magnetic resonance imaging and electro-encephalography

P Babaeeghazvini, LM Rueda-Delgado… - Frontiers in Human …, 2021 - frontiersin.org
Implications of structural connections within and between brain regions for their functional
counterpart are timely points of discussion. White matter microstructural organization and …