Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects.

By Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeannette J. Townsend, E. Courchesne, Terrence J. Sejnowski. Clinical Neurophysiology, 2000

1,352 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Neurology

View Paper: https://www.semanticscholar.org/paper/1d3afbd637c852a3bfca8f9fc4b5ba8f3a9b14c8

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Citations in the corpus

When Peanuts Fall in Love: N400 Evidence for the Power of Discourse (2005, methodology): “Ocular and muscular artifacts were corrected by means of a procedure based on independent component analysis (see Jung et al., 2000; Makeig, Jung, Gahremani, Bell, & Sejnowski, 1997).”
Brain Computer Interfaces, a Review (2012, methodology): “ICA has traditionally been used as a preprocessing tool before the feature extraction step, in order to remove ocular artifacts in BCI systems [164–166].”
Associative recognition processes are modulated by the semantic unitizability of memoranda. (2014, methodology): “Ocular artifacts were removed using the independent component analysis (ICA) method (Jung et al., 2000; as implemented in BrainVision Analyzer).”
Semi-automatic identification of independent components representing EEG artifact. (2009, background): “All rights reserved. clude the removal of artifacts, in particular eye blinks and lateral eye movements (Jung et al., 2000a,b); the removal of stimuluslocked electrical artifacts from cochlear implants (Debener et al., 2008a; Gilley et al., 2006); or the removal of residual ballistocardiogram and…”
Independent Component Analysis as a Tool to Eliminate Artifacts in EEG: A Quantitative Study (2003, background): “This is probably the reason why the first studies using ICA for removing artifacts on EEG were focused on these artifacts (Jung et al., 2000a,b; Vigario, 1997).”
Independent EEG Sources Are Dipolar (2012, methodology): “ICA has been found to efficiently separate out several classes of spatially stereotyped non-brain signals: scalp and neck muscle electromyographic (EMG) activities, electrooculographic (EOG) activities associated with eye blinks [20], saccades, and ocular motor tremor [15] as well as electrocardiogr”
Removal of Artifacts from EEG Signals: A Review (2019, methodology): “In 2000, Jung et al. removed artifacts from EEG by the extended ICA, and results comparing effectively to regression algorithm [50].”
EEG artifact removal—state-of-the-art and guidelines (2015, methodology): “The presence of muscle artifacts poses a more challenging scenario than that of ocular interference, since a reference waveform is rarely available [140] and because spatial topographies need not be as well defined as with contamination coming from the eyes.”
BOLD correlates of EEG alpha phase-locking and the fMRI default mode network (2009, methodology): “One can therefore apply an independent component analysis (Extended Infomax ICA, EEGLAB Delorme and Makeig, 2004; Bell and Sejnowski, 1995) to decompose the measured signal into components that appear to be EEG, and components that appear to be artifacts (Jung et al., 2000a; Jung et al., 2000b).”
Tagging the Neuronal Entrainment to Beat and Meter (2011, neutral): “Artifactsproducedby eye blinks or eye movements were removed using a validated method based on an independent component analysis (Jung et al., 2000), using the runica algorithm (Bell and Sejnowski, 1995; Makeig et al., 1996), as implemented in EEGLAB.”
An improved P300-based brain-computer interface (2005, methodology): “[37], [38] the ICA algorithm was used on ERP data recorded from more than 30 electrodes.”
Diagnosis of Alzheimer's disease from EEG signals: where are we standing? (2010, methodology): “BSS appears to be more suitable for artifact rejection than adaptive filtering and regression (see, e.g., [19] [20] [22] [41] [42] [43] [44]).”