Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends
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 …
crucial issue in neuroscience. The concepts of structural, functional and effective …
Which reference should we use for EEG and ERP practice?
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 …
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) …
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
Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder
characterized by hyperactivity/impulsivity and inattentiveness. Efforts toward the …
characterized by hyperactivity/impulsivity and inattentiveness. Efforts toward the …
MATLAB toolboxes for reference electrode standardization technique (REST) of scalp EEG
Reference electrode standardization technique (REST) has been increasingly
acknowledged and applied as a re-reference technique to transform an actual multi …
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
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 …
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 …
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
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 …
electroencephalography (hdEEG). This was done by using an advanced analysis workflow …
Impact of the reference choice on scalp EEG connectivity estimation
Objective. Several scalp EEG functional connectivity studies, mostly clinical, seem to
overlook the reference electrode impact. The subsequent interpretation of brain connectivity …
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 …
many problems with the diagnosis of depression, such as low patient cooperation …