EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

Journal of Neuroscience Methods

Volumn 134, Issue 1, 2004, Pages 9-21

  Delorme, Arnaud ^a   Makeig, Scott ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

EEG; ERP; ICA; Matlab; Single trial; Software; Spectral decomposition

Indexed keywords

ANALYTIC METHOD; ARTICLE; COMPUTER PROGRAM; DECOMPOSITION; ELECTROENCEPHALOGRAM; FOLLOW UP; INDEPENDENT COMPONENT ANALYSIS; INFORMATION; PRIORITY JOURNAL; SAMPLING; STATISTICAL ANALYSIS;

EID: 1242283941     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2003.10.009     Document Type: Article

References (41)

1. Anemüller J, Sejnowski TJ, Makeig S. Complex independent component analysis of frequency-domain electroencephalographic data. Neural Networks 2003;16:1311-23.
2. Amari S.-I., Cichocki A., Yang H.H. A new learning algorithm for blind source separation. Adv. Neural Inf. Process. Syst. 8:1996;757-763.
3. Baillet S, Mosher JC, Leahy RM, Shattuck DW. BrainStorm: a matlab toolbox for the processing of MEG and EEG signals. In: Proceedings of the 5th International Conference on Human Brain Map., Neuroimage, 1999;9:246.
4. Bell A.J., Sejnowski T.J. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 7:1995;1129-1159.
5. Bressler S.L., Freeman W.J. Frequency analysis of olfactory system EEG in cat, rabbit, and rat. Electroencephalogr. Clin. Neurophysiol. 50:1980;19-24.
6. Bonferroni CE. Sulle medie multiple di potenze. Bollettino dell'Unione Matematica Italiana, 5 third series, 1950. p. 267-70.
7. Cardoso J.-F., Souloumiac A. Blind beamforming for non gaussian signals. IEE-Proc.-F. 140:1993;362-370.
8. Delorme A., Makeig S., Fabre-Thorpe M., Sejnowski T. From single-trials EEG to brain area dynamics. Neurocomputing. 44/46:2002;1057-1064.
9. Delorme A., Makeig S. EEG changes accompanying learning regulation of the 12-Hz EEG activity. IEEE Trans. Rehabilit. Eng. 11:2003;133-136.
10. Duann JR, Jung TP, Kuo WJ, Yeh S, Makeig S, Hsieh JC, Sejnowski TJ, Measuring the variability of event-related BOLD signals. In: Third International Workshop on Independent Component Analysis and Signal Separation, San Diego, USA, 2001.
11. Duann JR, Jung TP, Makeig S, Sejnowski TJ. fMRLAB: an ICA Toolbox for fMRI Data Analysis, In: Human Brain Mapping, 2002a; Sendai, Japan.
12. Duann J.R., Jung T.P., Kuo W.J., Yeh T.C., Makeig S., Hsieh J.C., Sejnowski T.J. Single-trial variability in event-related BOLD signals. Neuroimage. 15:2002;823-835.
13. Esposito F., Formisano E., Seifritz E., Goebel R., Morrone R., Tedeschi G., Di Salle F. Spatial independent component analysis of functional MRI time-series: to what extent do results depend on the algorithm used? Hum. Brain Mapp. 16:2002;146-157.
14. Friston K.J. Statistical parametric mapping: Ontology and current issues. J. Cereb. Blood Flow Metab. 15:1995;361-370.
15. Holm S. A simple sequentially rejective multiple test procedure. Scand. J. Stat. 6:1979;65-70.
16. Hyvärinen A., Oja E. Independent component analysis: algorithms and applications. Neural Netw. 13:2000;411-430.
17. Jung T.P., Makeig S., Westerfield M., Townsend J., Courchesne E., Sejnowski T.J. Analyzing and visualizing single-trial event-related potentials. Adv. Neural Inf. Process. Syst. 11:1999;118-124.
18. Jung T.P., Makeig S., Westerfield M., Townsend J., Courchesne E., Sejnowski T.J. Analysis and visualization of single-trial event-related potentials. Hum. Brain Mapp. 14:2001;166-185.
19. Jung T.P., Makeig S., Humphries C., Lee T.W., McKeown M.J., Iragui V., Sejnowski T.J. Removing electroencephalographic artifacts by blind source separation. Psychophysiology. 37:2000;163-178.
20. Lachaux J.P., Rodriguez E., Martinerie J., Varela F.J. Measuring phase synchrony in brain signals. Hum. Brain Mapp. 8:1999;194-208.
21. Lachaux J.P., Chavez M., Lutz A. A simple measure of correlation across time. J. Neurosci. Methods. 123:2003;175-188.
22. Laubach M., Shuler M., Nicolelis M.A. Independent component analyses for quantifying neuronal ensemble interactions. J. Neurosci. Methods. 94:1999;141-154.
23. Le Van Quyen M., Foucher J., Lachaux J., Rodriguez E., Lutz A., Martinerie J., Varela F.J. Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony. J. Neurosci. Methods. 111:2001;83-98.
24. Lee T.W., Girolami M., Sejnowski T.J. Independent component analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources. Neural Comput. 11:1999;417-441.
25. Lee T.W., Girolami M., Bell A.J., Sejnowski T.J. A unifying information-theoretic framework for independent component analysis. Comput. Math. Appl. 31:2000;1-21.
26. Makeig S. Auditory event-related dynamics of the EEG spectrum and effects of exposure to tones. Electroencephalogr. Clin. Neurophysiol. 86:1993;283-293.
27. Makeig S, Bell AJ, Jung TP, Sejnowski TJ, Independent component analysis of electroencephalographic data. In: Touretzky D, Mozer M, Hasselmo M, editors. Adv Neural Inf Process Syst 1996;8:145-51.
28. Makeig S., Jung T.P., Bell A.J., Ghahremani D., Sejnowski T.J. Blind separation of auditory eventrelated brain responses into independent components. Proc. Natl. Acad. Sci. U.S.A. 94:1997;10979-10984.
29. Makeig S., Westerfield M., Jung T.P., Covington J., Townsend J., Sejnowski T.J., Courchesne E. Functionally independent components of the late positive event-related potential during visual spatial attention. J. Neurosci. 19:1999;2665-2680.
30. Makeig S., Westerfield M., Jung T.P., Enghoff S., Townsend J., Courchesne E., Sejnowski T.J. Dynamic brain sources of visual evoked responses. Science. 295:2002;690-694.
31. Makeig S., et al. Matlab Toolbox for analysis of electrophysiological data. http://www.cnl.salk.edu/~scott/ica.html , 1997.
32. Neuenschwander S., Varela F.J. Visually triggered neuronal oscillations in the pigeon: an autocorrelation study of tectal activity. Eur. J. Neurosci. 5:1993;870-881.
33. Park H.-M., Jung H.-Y., Lee T.-W., Lee S.-Y. On subband-based blind signal separation for noisy speech recognition. Electron. Lett. 35:1999;2011-2012.
34. Pauluis Q., Baker S.N., Olivier E. Emergent oscillations in a realistic network: the role of inhibition and the effect of the spatiotemporal distribution of the input. J. Comput. Neurosci. 6:1999;27-48.
35. Pfurtscheller G, Aranibar A. Evaluation of event-related desynchronization (ERD) preceding and following voluntary self-paced movement. PG-138-46. Electroencephalogr Clin Neurophysiol 1979;46.
36. Ramberg JS, Dudewicz EJ, PTadikalama PR, Mykytka EF. A probability distribution and its uses in fitting data. Technometrics 1979;21.
37. Rodriguez E., George N., Lachaux J.P., Martinerie J., Renault B., Varela F.J. Perception's shadow: long-distance synchronization of human brain activity. Nature. 397:1999;430-433.
38. Tallon-Baudry C., Bertrand O., Delpuech C., Pernier J. Stimulus specificity of phase-locked and non-phase-locked 40 Hz visual responses in human. J. Neurosci. 16:1996;4240-4249.
39. Thompson D.J. Spectrum estimation and harmonic analysis. IEEE Proc. 70:1982;1055-1096.
40. von Stein A., Sarnthein J. Different frequencies for different scales of cortical integration: from local gamma to long range alpha/theta synchronization. Int. J. Psychophysiol. 38:2000;301-313.
41. Weiss S., Rappelsberger P. EEG coherence within the 13-18 Hz band as a correlate of a distinct lexical organisation of concrete and abstract nouns in humans. Neurosci. Lett. 209:1996;17-20.