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 …

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] 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) …

EEG power spectral slope differs by ADHD status and stimulant medication exposure in early childhood

MM Robertson, S Furlong, B Voytek… - Journal of …, 2019 - journals.physiology.org
Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder
characterized by hyperactivity/impulsivity and inattentiveness. Efforts toward the …

MATLAB toolboxes for reference electrode standardization technique (REST) of scalp EEG

L Dong, F Li, Q Liu, X Wen, Y Lai, P Xu… - Frontiers in …, 2017 - frontiersin.org
Reference electrode standardization technique (REST) has been increasingly
acknowledged and applied as a re-reference technique to transform an actual multi …

Detecting large‐scale networks in the human brain using high‐density electroencephalography

Q Liu, S Farahibozorg, C Porcaro… - Human brain …, 2017 - Wiley Online Library
High‐density electroencephalography (hdEEG) is an emerging brain imaging technique that
can be used to investigate fast dynamics of electrical activity in the healthy and the diseased …

EEG based depression recognition using improved graph convolutional neural network

J Zhu, C Jiang, J Chen, X Lin, R Yu, X Li… - Computers in Biology and …, 2022 - Elsevier
Depression is a global psychological disease that does serious harm to people. Traditional
diagnostic method of the doctor-patient communication, is not objective and accurate …

Detecting large-scale brain networks using EEG: Impact of electrode density, head modeling and source localization

Q Liu, M Ganzetti, N Wenderoth… - Frontiers in …, 2018 - frontiersin.org
Resting state networks (RSNs) in the human brain were recently detected using high-density
electroencephalography (hdEEG). This was done by using an advanced analysis workflow …

Impact of the reference choice on scalp EEG connectivity estimation

F Chella, V Pizzella, F Zappasodi… - Journal of neural …, 2016 - iopscience.iop.org
Objective. Several scalp EEG functional connectivity studies, mostly clinical, seem to
overlook the reference electrode impact. The subsequent interpretation of brain connectivity …

An improved classification model for depression detection using EEG and eye tracking data

J Zhu, Z Wang, T Gong, S Zeng, X Li… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
At present, depression has become a main health burden in the world. However, there are
many problems with the diagnosis of depression, such as low patient cooperation …