ICA-based muscle artefact correction of EEG data: What is muscle and what is brain?: Comment on McMenamin et al
Explore this paper's citation graph
Summary
More research is needed for determining reliable criteria to delineate myogenic from neurogenic components, and ICA-based artefact correction already provides a powerful tool for muscle artefact rejection.
- Type
- letter
- Published
- 2011-01-01
- Cited by
- 71
- References
- 18
- OpenAlex
- https://openalex.org/W27217484
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:21999214
Keywords
Independent component analysis, Electroencephalography, Neuroscience, Independence (probability theory), Psychology
References
- Mental and physical effort affect vigilance differently.
- ERD/ERS patterns reflecting sensorimotor activation and deactivation.
- Electromyogenic Artifacts and Electroencephalographic Inferences
- Muscle Artifact Removal from Human Sleep EEG by Using Independent Component Analysis
- Semi-automatic identification of independent components representing EEG artifact.
- EEG-vigilance differences between patients with borderline personality disorder, patients with obsessive-compulsive disorder and healthy controls
- Spatial organization of EEG activity from alertness to sleep stage 2 in old and younger subjects
- EEG-vigilance and BOLD effect during simultaneous EEG/fMRI measurement
- EEG alpha activity reflects attentional demands, and beta activity reflects emotional and cognitive processes.
- Event-related synchronization (ERS) in the alpha band--an electrophysiological correlate of cortical idling: a review.
- Validation of ICA-Based Myogenic Artifact Correction for Scalp and Source-Localized EEG
- Alpha rhythms as physiological and abnormal phenomena.
- EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis.
- EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.
- Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis
- Focal artifact removal from ongoing EEG – a hybrid approach based on spatially-constrained ICA and wavelet de-noising
- Nonparametric permutation tests for functional neuroimaging: A primer with examples
- Nonparametric Permutation Tests for Functional Neuroimaging
- Alpha-band activity reflects reduction of mental effort in a comparison task : A source space analysis
Cited by
- A Hybrid PDMS-Parylene Subdural Multi-Electrode Array
- Reduction of stimulation coherent artifacts in electrically evoked auditory brainstem responses
- EEG source localization: Sensor density and head surface coverage.
- High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations
- Multichannel matching pursuit of MEG signals for discriminative oscillation pattern detection in depression.
- A practical guide to the selection of independent components of the electroencephalogram for artifact correction.
- Analysis of complex-valued functional magnetic resonance imaging data: are we just going through a "phase"?
- Impaired cerebral glucose metabolism in prodromal Alzheimer's disease differs by regional intensity normalization.
- Interference of tonic muscle activity on the EEG: a single motor unit study
- The effects of increased fluid viscosity on stationary characteristics of EEG signal in healthy adults
- Functional connectivity in major depression: increased phase synchronization between frontal cortical EEG-source estimates.
- EEG Vigilance Regulation Patterns and Their Discriminative Power to Separate Patients with Major Depression from Healthy Controls
- Surface Laplacian of scalp electrical signals and independent component analysis resolve EMG contamination of electroencephalogram.
- ICA-based EEG denoising: a comparative analysis of fifteen methods
- Unstable EEG-vigilance in patients with cancer-related fatigue (CRF) in comparison to healthy controls
- EEG artifact removal—state-of-the-art and guidelines
- Removal of EOG and EMG artifacts from EEG using combination of functional link neural network and adaptive neural fuzzy inference system
- Separation of Low-Voltage EEG-Activity During Mental Activation from that During Transition to Drowsiness
- Validation of ICA-Based Myogenic Artifact Correction for Scalp and Source-Localized EEG
- EEG changes caused by spontaneous facial self-touch may represent emotion regulating processes and working memory maintenance.
Related papers
- Blind Non-independent Image Separation Based on Independent Component Analysis
- Blind Non-independent Image Separation Based on Independent Component Analysis
- Independent component analysis based blind signal separation for mixed speech signal
- Source Separation using ICA
- Blind Source Separation Based on FastICA
- New independent component analysis (ICA) method and its application to remote sensing images
- Independent Component Analysis of EEG and Source Position Estimation
- Feature extraction using supervised independent component analysis by maximizing class distance