Automatic correction of ocular artifacts in the EEG: A comparison of regression-based and component-based methods

International Journal of Psychophysiology

Volumn 53, Issue 2, 2004, Pages 105-119

  Wallstrom, Garrick L ^a   Kass, Robert E ^b   Miller, Anita ^c   Cohn, Jeffrey F ^a   Fox, Nathan A ^d  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c UNIVERSITY OF PITTSBURGH   (United States)

^d UNIVERSITY OF MARYLAND   (United States)

Author keywords

Adaptive filter; Analysis; Electroencephalography; Independent components analysis; Ocular artifact; Principal components; Regression

Indexed keywords

ACCURACY; ADULT; ALPHA RHYTHM; ARTICLE; BAYES THEOREM; BETA RHYTHM; CLINICAL ARTICLE; CONTROLLED STUDY; ELECTROENCEPHALOGRAPHY; ELECTROOCULOGRAPHY; EVALUATION; FEMALE; HUMAN; INTERMETHOD COMPARISON; MALE; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SIMULATION; THETA RHYTHM;

ADULT; ARTIFACTS; BAYES THEOREM; ELECTROENCEPHALOGRAPHY; ELECTROOCULOGRAPHY; HUMANS; OCULAR PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

EID: 2942755691     PISSN: 01678760     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpsycho.2004.03.007     Document Type: Article

References (27)

1. Bell A., Sejnowski T. An information-maximization approach to blind separation and blind deconvolution. Neural Computation. 7:1995;1129-1159
2. Berg P., Scherg M. Dipole models of eye movements and blinks. Electroencephalography and Clinical Neurophysiology. 79:1991;36-44
3. Berg P., Scherg M. Dipole modelling of eye activity and its application to the removal of eye artefacts from the EEG and MEG. Clinical Physics and Physiological Measurement. 12(Suppl. A):1991;49-54
4. Berg P., Scherg M. A multiple source approach to the correction of eye artifacts. Electroencephalography and Clinical Neurophysiology. 90(3):1994;229-241
5. Comon P. Independent component analysis - a new concept? Signal Processing. 36:1994;287-314
6. Croft R.J., Barry R.J. Removal of ocular artifact from the EEG: a review. Neurophysiologie Clinique. 30:2000;5-19
7. deBoor C. A practical guide to splines. Applied Mathematical Sciences. vol. 27:1978;Springer-Verlag, New York, NY
8. DiMatteo I., Genovese C.R., Kass R.E. Bayesian curve fitting with free-knot splines. Biometrika. 88:2001;1055-1073
9. Elbert T., Lutzenberger W., Rockstroh B., Birbaumer N. Removal of ocular artifacts from the EEG - a biophysical approach to the EOG. Electroencephalography and Clinical Neurophysiology. 60:1985;455-463
10. Fisch B.J. Artifacts. Fisch B.J. Spehlmann's EEG Primer. 2nd edition:1991;108-124 Elsevier, Amsterdam, The Netherlands
11. Gratton G., Coles M.G.H., Donchin E. A new method for the off-line removal of ocular artifact. Electroencephalography and Clinical Neurophysiology. 55:1983;468-484
12. Hyvärinen A. Fast and robust fixed-point algorithms for independent component analysis. IEEE Transactions on Neural Networks. 10(3):1999;626-634
13. Hyvärinen A., Oja E. A fast fixed-point algorithm for independent component analysis. Neural Computation. 9(7):1997;1483-1492
14. Jung T.-P., Humphries C., Lee T.-W., Makeig S., McKeown M.J., Iragui V., Sejnowski T.J. Extended ICA removes artifacts from electroencephalographic recordings. Advances in Neural Information Processing Systems. 10:1998;894-900
15. Jung T.-P., Humphries C., Lee T.-W., Makeig S., McKeown M.J., Iragui V., Sejnowski T.J. Removing electroencephalographic artifacts: comparison between ICA and PCA. Neural Networks for Signal Processing. 8:1998;63-72
16. 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
17. Jutten C., Herault J. Blind separation of sources: Part I. An adaptive algorithm based on neuromimetic architecture. Signal Processing. 24:1991;1-10
18. Lagerlund T.D., Sharbrough F.W., Busacker N.E. Spatial filtering of multichannel electroencephalographic recordings through principal component analysis by singular value decomposition. Journal of Clinical Neurophysiology. 14(1):1997;73-82
19. 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 Computation. 11:1999;606-633
20. Lins O.G., Picton T.W., Berg P., Scherg M. Ocular artifacts in EEG and event-related potentials: I. Scalp topography. Brain Topography. 6(1):1993;51-63
21. Lins O.G., Picton T.W., Berg P., Scherg M. Ocular artifacts in recording EEGs and event-related potentials: II. Source dipoles and source components. Brain Topography. 6(1):1993;65-78
22. Makeig, S., Humphries, C., Jung, T.-P. et al., 1998. Ica toolbox for psychophysiological research. WWW Site, Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, http://www.cnl.salk.edu/scott/ icadownload-form.html.
23. Marchini, J.L., Heaton, C., Ripley, B.D., 2002. The fastICA package. Software and documentation available at http://www.stats.ox.ac.uk/marchini/ software.html.
24. Miller, A., Fox, N.A., Cohn, J.F., Forbes, E.E., Sherrill, J.T., Kovacs, M., 2002. Regional patterns of brain activity in adults with a history of childhood-onset depression: Gender differences and clinical variability.
25. Pivik R.T., Broughton R.J., Coppola R., Davidson R.J., Fox N., Nuwer M.R. Guidelines for the recording and quantitative analysis of electroencephalographic activity in research contexts. Psychophysiology. 30:1993;547-558
26. Vigário R.N. Extraction of ocular artefacts from EEG using independent component analysis. Electroencephalography and Clinical Neurophysiology. 103:1997;394-404
27. Wallstrom G., Kass R., Miller A., Cohn J., Fox N. Correction of ocular artifacts in the EEG using Bayesian adaptive regression splines. Bayesian Statistics. vol. 6:2002;Springer-Verlag, New York, NY