• Publications
  • Influence
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
  • A. Delorme, S. Makeig
  • Computer Science, Materials Science
  • Journal of Neuroscience Methods
  • 15 March 2004
We have developed a toolbox and graphic user interface, EEGLAB, running under the crossplatform MATLAB environment (The Mathworks, Inc.) for processing collections of single-trial and/or averaged EEGExpand
Removing electroencephalographic artifacts by blind source separation.
TLDR
The results on EEG data collected from normal and autistic subjects show that ICA can effectively detect, separate, and remove contamination from a wide variety of artifactual sources in EEG records with results comparing favorably with those obtained using regression and PCA methods. Expand
Dynamic Brain Sources of Visual Evoked Responses
TLDR
It is shown that nontarget event-related potentials were mainly generated by partial stimulus-induced phase resetting of multiple electroencephalographic processes in a human visual selective attention task. Expand
Independent Component Analysis of Electroencephalographic Data
TLDR
First results of applying the ICA algorithm to EEG and event-related potential (ERP) data collected during a sustained auditory detection task show that ICA training is insensitive to different random seeds and ICA may be used to segregate obvious artifactual EEG components from other sources. Expand
Mining event-related brain dynamics
TLDR
A new approach combines independent component analysis (ICA), time/frequency analysis, and trial-by-trial visualization that measures EEG source dynamics without requiring an explicit head model. Expand
Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis
TLDR
Simulations demonstrate that ICA decomposition, here tested using three popular ICA algorithms, Infomax, SOBI, and FastICA, can allow more sensitive automated detection of small non-brain artifacts than applying the same detection methods directly to the scalp channel data. Expand
Auditory event-related dynamics of the EEG spectrum and effects of exposure to tones.
  • S. Makeig
  • Psychology, Medicine
  • Electroencephalography and clinical…
  • 1 April 1993
TLDR
The results, therefore, document systematic effects of exposure to intermittent tones on EEG brain dynamics even in the absence of changes in auditory thresholds. Expand
A 40-Hz auditory potential recorded from the human scalp.
TLDR
It is shown that these waves combined to form a single, stable, composite wave when the sounds are repeated at rates around 40 per sec, which suggests that adequate processing of sensory information may require cyclical brain events in the 30- to 50-Hz range. Expand
Blind separation of auditory event-related brain responses into independent components.
TLDR
This paper reports the application of a method based on information theory that decomposes one or more ERPs recorded at multiple scalp sensors into a sum of components with fixed scalp distributions and sparsely activated, maximally independent time courses. Expand
Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects
TLDR
Results show that ICA can be used to effectively detect, separate and remove ocular artifacts from even strongly contaminated EEG recordings, and the results compare favorably to those obtained using rejection or regression methods. Expand
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