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 …
activity of the human brain. It has its undisputed value in clinical diagnosis, particularly (but …
Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research
Abstract The Organization for Human Brain Mapping (OHBM) has been active in advocating
for the instantiation of best practices in neuroimaging data acquisition, analysis, reporting …
for the instantiation of best practices in neuroimaging data acquisition, analysis, reporting …
EEG-BIDS, an extension to the brain imaging data structure for electroencephalography
The Brain Imaging Data Structure (BIDS) project is a rapidly evolving effort in the human
brain imaging research community to create standards allowing researchers to readily …
brain imaging research community to create standards allowing researchers to readily …
MEG and EEG data analysis with MNE-Python
Magnetoencephalography and electroencephalography (M/EEG) measure the weak
electromagnetic signals generated by neuronal activity in the brain. Using these signals to …
electromagnetic signals generated by neuronal activity in the brain. Using these signals to …
MNE software for processing MEG and EEG data
Magnetoencephalography and electroencephalography (M/EEG) measure the weak
electromagnetic signals originating from neural currents in the brain. Using these signals to …
electromagnetic signals originating from neural currents in the brain. Using these signals to …
[HTML][HTML] Open and reproducible neuroimaging: From study inception to publication
Empirical observations of how labs conduct research indicate that the adoption rate of open
practices for transparent, reproducible, and collaborative science remains in its infancy. This …
practices for transparent, reproducible, and collaborative science remains in its infancy. This …
Autoreject: Automated artifact rejection for MEG and EEG data
We present an automated algorithm for unified rejection and repair of bad trials in
magnetoencephalography (MEG) and electroencephalography (EEG) signals. Our method …
magnetoencephalography (MEG) and electroencephalography (EEG) signals. Our method …
[HTML][HTML] Analysing concurrent transcranial magnetic stimulation and electroencephalographic data: A review and introduction to the open-source TESA software
The concurrent use of transcranial magnetic stimulation with electroencephalography (TMS–
EEG) is growing in popularity as a method for assessing various cortical properties such as …
EEG) is growing in popularity as a method for assessing various cortical properties such as …
Electrophysiological brain connectivity: theory and implementation
We review the theory and algorithms of electrophysiological brain connectivity analysis. This
tutorial is aimed at providing an introduction to brain functional connectivity from …
tutorial is aimed at providing an introduction to brain functional connectivity from …
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 …
counterpart are timely points of discussion. White matter microstructural organization and …