How to cite EEGLAB
Primary EEGLAB citation
Delorme A & Makeig S (2004) EEGLAB: an open-source toolbox for analysis of single-trial EEG dynamics, Journal of Neuroscience Methods 134:9-21. PDF.
Includes details of EEGLAB ICA and time/frequency methods. Please cite this paper to reference EEGLAB in publications. Browse its 14,000+ citations in Google Scholar. Consult these papers, plus the extensive EEGLAB tutorial and help facilities, for instructions and examples of their use.
EEGLAB ICA methods introductions
Makeig S, Debener S, Onton J, Delorme A (2004) Mining event-related brain dynamics. Trends in Cognitive Science 8:204-210. PDF.
Summarizes benefits and pitfalls of combining ICA, time/frequency analysis, and ERP-image visualization.
Delorme A, Palmer J, Oostenveld R, Onton J, Makeig S (2012) Independent EEG components are dipolar. PLOS One, 7(2). PDF.
Demonstrates that the more mutual information a linear transform removes from multi-channel EEG data, the more the resulting components are compatible with an origin in a small patch of locally synchronous cortex.
Delorme, A., Sejnowski, T., Makeig, S. Improved rejection of artifacts from EEG data using high-order
statistics and independent component analysis. Neuroimage. 2007; 34, 1443-1449. PDF.
This paper demonstrates the advantages of using ICA for rejecting EEG artifacts.
Onton J, Delorme, A., Makeig, S. Frontal midline EEG dynamics during working memory. NeuroImage. 2005;27, 341-356. PDF.
An early application of ICA to the study of time/frequency dynamics, showing the value of ICA spatial filtering for resolving brain sources, etc.
S. Makeig, A.J. Bell, T-P. Jung, and T.J. Sejnowski, Independent component analysis of electroencephalographic data, In: D. Touretzky, M. Mozer and M. Hasselmo (Eds). Advances in Neural Information Processing Systems 8:145-151, MIT Press, Cambridge, MA 1996. PDF.
The first paper demonstrating the benefits of applying ICA decomposition to EEG data.
EEGLAB time/frequency methods introductions
Makeig S, Debener S, Onton J, Delorme A (2004) Mining event-related brain dynamics. Trends in Cognitive Science 8:204-210. PDF.
Summarizes benefits and pitfalls of combining ICA, time/frequency analysis, and ERP-image visualization.
Makeig, S, Auditory event-related dynamics of the EEG spectrum and effects of exposure to tones, Electroencephalogr clin Neurophysiol, 86:283-293, 1993. PDF.
The first paper demonstrating the event-related spectral perturbation (ERSP) measure.
Subset of EEGLAB plug-in references
Delorme A, Mullen T, Kothe C, Akalin Acar Z, Bigdely-Shamlo N, Vankov A, Makeig S. (2011) EEGLAB, SIFT, NFT, BCILAB, and ERICA: New tools for advanced EEG processing. Computat Intelligence Neurosci 2011:130714, doi: 10.1155/2011/130714. HTML.
Pernet CR, Chauveauy N, Gaspar C, Rousselet GA (2011) LIMO EEG: A toolbox for hierarchical linear modeling of electroencephalographic data. Computat Intelligence Neurosci 2011:831409, doi: 10.1155/2011/831409. HTML.
Pion-Tonachini, L., Kreutz-Delgado, K., Makeig, S. ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. NeuroImage 198:181-197, 2019. PDF.
Zeynep Akalin Acar & Scott Makeig, Neuroelectromagnetic Forward Head Modeling Toolbox J Neurosci Meth, doi:10.1016/jneumeth.2010.04.031. PDF.
Martinez-Cancino, R., Heng, J., Delorme, A., Kreutz-Delgado, K., Sotero, R.C. Makeig, S. Measuring transient phase-amplitude coupling using local mutual information. NeuroImage, 2018. PDF.