[HTML][HTML] EEG frequency bands in psychiatric disorders: a review of resting state studies
JJ Newson, TC Thiagarajan - Frontiers in human neuroscience, 2019 - frontiersin.org
A significant proportion of the electroencephalography (EEG) literature focuses on
differences in historically pre-defined frequency bands in the power spectrum that are …
differences in historically pre-defined frequency bands in the power spectrum that are …
[HTML][HTML] Removal of artifacts from EEG signals: a review
Electroencephalogram (EEG) plays an important role in identifying brain activity and
behavior. However, the recorded electrical activity always be contaminated with artifacts and …
behavior. However, the recorded electrical activity always be contaminated with artifacts and …
Opportunities and methodological challenges in EEG and MEG resting state functional brain network research
Electroencephalogram (EEG) and magnetoencephalogram (MEG) recordings during resting
state are increasingly used to study functional connectivity and network topology. Moreover …
state are increasingly used to study functional connectivity and network topology. Moreover …
[HTML][HTML] 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 …
[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) …
A deep learning framework for automatic diagnosis of unipolar depression
Background and purpose In recent years, the development of machine learning (ML)
frameworks for automatic diagnosis of unipolar depression has escalated to a next level of …
frameworks for automatic diagnosis of unipolar depression has escalated to a next level of …
[HTML][HTML] 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 …
Electroencephalogram (EEG)-based computer-aided technique to diagnose major depressive disorder (MDD)
Abstract Recently, Electroencephalogram (EEG)-based computer-aided (CAD) techniques
have shown their promise as decision-making tools to diagnose major depressive disorder …
have shown their promise as decision-making tools to diagnose major depressive disorder …
[HTML][HTML] 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 …
Electroencephalographic connectivity: a fundamental guide and checklist for optimal study design and evaluation
A Miljevic, NW Bailey, F Vila-Rodriguez… - Biological Psychiatry …, 2022 - Elsevier
Brain connectivity can be estimated through many analyses applied to
electroencephalography (EEG) data. However, substantial heterogeneity in the …
electroencephalography (EEG) data. However, substantial heterogeneity in the …