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 …
[HTML][HTML] International Federation of Clinical Neurophysiology (IFCN)–EEG research workgroup: Recommendations on frequency and topographic analysis of resting …
Abstract In 1999, the International Federation of Clinical Neurophysiology (IFCN) published
“IFCN Guidelines for topographic and frequency analysis of EEGs and EPs”(Nuwer et al …
“IFCN Guidelines for topographic and frequency analysis of EEGs and EPs”(Nuwer et al …
Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography
The understanding and treatment of psychiatric disorders, which are known to be
neurobiologically and clinically heterogeneous, could benefit from the data-driven …
neurobiologically and clinically heterogeneous, could benefit from the data-driven …
[HTML][HTML] The development of theta and alpha neural oscillations from ages 3 to 24 years
Intrinsic, unconstrained neural activity exhibits rich spatial, temporal, and spectral
organization that undergoes continuous refinement from childhood through adolescence …
organization that undergoes continuous refinement from childhood through adolescence …
The PREP pipeline: standardized preprocessing for large-scale EEG analysis
The technology to collect brain imaging and physiological measures has become portable
and ubiquitous, opening the possibility of large-scale analysis of real-world human imaging …
and ubiquitous, opening the possibility of large-scale analysis of real-world human imaging …
[图书][B] Analyzing neural time series data: theory and practice
MX Cohen - 2014 - books.google.com
A comprehensive guide to the conceptual, mathematical, and implementational aspects of
analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This …
analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. 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 …
Electroencephalographic resting-state networks: source localization of microstates
Using electroencephalography (EEG) to elucidate the spontaneous activation of brain
resting-state networks (RSNs) is nontrivial as the signal of interest is of low amplitude and it …
resting-state networks (RSNs) is nontrivial as the signal of interest is of low amplitude and it …
[HTML][HTML] Spatial and temporal resolutions of EEG: Is it really black and white? A scalp current density view
Among the different brain imaging techniques, electroencephalography (EEG) is classically
considered as having an excellent temporal resolution, but a poor spatial one. Here, we …
considered as having an excellent temporal resolution, but a poor spatial one. Here, we …
Assessing and conceptualizing frontal EEG asymmetry: An updated primer on recording, processing, analyzing, and interpreting frontal alpha asymmetry
Frontal electroencephalographic (EEG) alpha asymmetry is widely researched in studies of
emotion, motivation, and psychopathology, yet it is a metric that has been quantified and …
emotion, motivation, and psychopathology, yet it is a metric that has been quantified and …