Contrasting single-trial ERPs between experimental manipulations: Improving differentiability by blind source separation

NeuroImage

Volumn 29, Issue 1, 2006, Pages 335-346

  Tang, Akaysha C ^a,b   Sutherland, Matthew T ^a   Wang, Yan ^c  

^a UNIVERSITY OF NEW MEXICO   (United States)

^b UNIVERSITY OF NEW MEXICO SCHOOL OF MEDICINE   (United States)

^c MSC01 1070   (United States)

Author keywords

Blind source separation (BSS); Electroencephalography (EEG); Event related potential (ERP); Median nerve stimulation; Primary somatosensory cortex (SI); Second order blind identification (SOBI); Single trial analysis; Somatosensory evoked potential (SEP)

Indexed keywords

ADULT; ALGORITHM; ARTICLE; BRAIN COMPUTER INTERFACE; BRAIN FUNCTION; CONTROLLED STUDY; EVENT RELATED POTENTIAL; EXPERIMENTATION; FEMALE; HUMAN; HUMAN EXPERIMENT; LEARNING; MAGNETOENCEPHALOGRAPHY; MALE; NERVE CELL; NERVE CELL PLASTICITY; NORMAL HUMAN; PERCEPTION; PRIORITY JOURNAL; STIMULUS RESPONSE; VALIDATION STUDY;

ADULT; ALGORITHMS; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; EVOKED POTENTIALS, SOMATOSENSORY; FEMALE; FUNCTIONAL LATERALITY; HUMANS; MALE; MEDIAN NERVE; NERVE NET; PHYSICAL STIMULATION; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOMATOSENSORY CORTEX;

EID: 29244473828     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2005.07.058     Document Type: Article

References (63)

1. T. Allison, G. McCarthy, C.C. Wood, T.M. Darcey, D.D. Spencer, and P.D. Williamson Human cortical potentials evoked by stimulation of the median nerve: I. Cytoarchitectonic areas generating short-latency activity J. Neurophysiol. 62 1989 694 710
2. T. Allison, G. McCarthy, C.C. Wood, and S.J. Jones Potentials evoked in human and monkey cerebral cortex by stimulation of the median nerve. A review of scalp and intracranial recordings Brain 114 1991 2465 2503
3. C.W. Anderson, E.A. Stolz, and S. Shamsunder Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks IEEE Trans. Biomed. Eng. 45 1998 277 286
4. O.J. Arthurs, and S.J. Boniface What aspect of the fMRI BOLD signal best reflects the underlying electrophysiology in human somatosensory cortex? Clin. Neurophysiol. 114 2003 1203 1209
5. A.J. Bell, and T.J. Sejnowski An information-maximization approach to blind separation and blind deconvolution Neural Comput. 7 1995 1129 1159
6. A. Belouchrani, K.A. Meraim, J.-F. Cardoso, and E. Moulines Second-order blind separation of correlated sources Proc. Int. Conf. on Digital Sig. Proc., Cyprus 1993 346 351
7. A. Belouchrani, K. Abed-Meraim, J.-F. Cardoso, and E. Moulines A blind source separation technique using second-order statistics IEEE Trans. Signal Process. 45 1997 434 444
8. V. Bostanov BCI Competition 2003-Data sets Ib and IIb: feature extraction from event-related brain potentials with the continuous wavelet transform and the t-value scalogram IEEE Trans. Biomed. Eng. 51 2004 1057 1061
9. J.-F. Cardoso, and A. Souloumiac Jacobi angles for simultaneous diagonalization SIAM J. Matrix Anal. App. 17 1996 161 164
10. M.G. Coles Modern mind-brain reading: psychophysiology, physiology, and cognition Psychophysiology 26 1989 251 269
11. E. Donchin A multivariate approach to the analysis of average evoked potentials IEEE Trans. Biomed. Eng. 13 1966 131 139
12. E. Donchin, K.M. Spencer, and R. Wijesinghe The mental prosthesis: assessing the speed of a P300-based brain-computer interface IEEE Trans. Rehabil. Eng. 8 2000 174 179
13. T.C. Ferree, P. Luu, G.S. Russell, and D.M. Tucker Scalp electrode impedance, infection risk, and EEG data quality Clin. Neurophysiol. 112 2001 536 544
14. D. Garrett, D.A. Peterson, C.W. Anderson, and M.H. Thaut Comparison of linear, nonlinear, and feature selection methods for EEG signal classification IEEE Trans. Neural Syst. Rehabil. Eng. 11 2003 141 144
15. M.T. Hagan, H.B. Demuth, and M.H. Beale Neural Network Design 1996 PWS Publishing Boston, MA
16. R. Hari, and N. Forss Magnetoencephalography in the study of human somatosensory cortical processing Philos. Trans. R. Soc. Lond., B Biol. Sci. 354 1999 1145 1154
17. E. Haselsteiner, and G. Pfurtscheller Using time-dependent neural networks for EEG classification IEEE Trans. Rehabil. Eng. 8 2000 457 463
18. T. Hastie, R. Tibshirani, and A. Buja Flexible discriminant-Analysis by optimal scoring J. Am. Stat. Assoc. 89 1994 1255 1270
19. T. Hastie, A. Buja, and R. Tibshirani Penalized discriminant-Analysis Ann. Stat. 23 1995 73 102
20. R.L. Horst, and E. Donchin Beyond averaging: II. Single-trial classification of exogenous event-related potentials using stepwise discriminant analysis Electroencephalogr. Clin. Neurophysiol. 48 1980 113 126
21. D.C. Howell Statistical Methods for Psychology 1987 PWS Publishers Boston, MA
22. A. Hyvarinen, and E. Oja A fast fixed-point algorithm for independent component analysis Neural Comput. 9 1997 1483 1492
23. A. Hyvarinen, and E. Oja Independent component analysis: algorithms and applications Neural Netw. 13 2000 411 430
24. P. Jaskowski, and R. Verleger Amplitudes and latencies of single-trial ERPs estimated by a maximum-likelihood method IEEE Trans. Biomed. Eng. 46 1999 987 993
25. C.A. Joyce, I.F. Gorodnitsky, and M. Kutas Automatic removal of eye movement and blink artifacts from EEG data using blind component separation Psychophysiology 41 2004 313 325
26. T.P. Jung, C. Humphries, T.W. Lee, S. Makeig, M.J. McKeown, V. Iragui, and T.J. Sejnowski Removing electroencephalographic artifacts: comparison between ICA and PCA Neural Networks for Signal Processing VIII 1999 Institute of Electrical and Electronics Engineers Press 63 72
27. T.P. Jung, S. Makeig, C. Humphries, T.W. Lee, M.J. McKeown, V. Iragui, and T.J. Sejnowski Removing electroencephalographic artifacts by blind source separation Psychophysiology 37 2000 163 178
28. A. Korvenoja, J. Huttunen, E. Salli, H. Pohjonen, S. Martinkauppi, L. Palva, L. Lauronen, J. Virtanen, R. Ilmoniemi, and H. Aronen Activation of multiple cortical areas in response to somatosensory stimulation: Combined magnetoencephalographic and functional magnetic resonance imaging Hum. Brain Mapp. 8 1999 13 27
29. R. Kustra, and S. Strother Penalized discriminant analysis of [O-15]-water PET brain images with prediction error selection of smoothness and regularization hyperparameters IEEE Trans. Med. Imag. 20 2001 376 387
30. T.D. Lagerlund EEG source localization (model-dependent and model-independent methods) E. Niedermeyer F. Lopes Da Silva Electroencephalography: Basic Principles, Clinical Applications, and Related Fields 1999 Lippincott, Williams and Wilkins Baltimore, MD 809 822
31. T.A. Loring, D.E. Worth, and A.C. Tang Multiresolution metrics for detecting single-trial event-related potentials (ERPs) Proceedings of the 3rd IEEE International Conference on Machine Learning and Cybernetics (ICMLC 2004), Shanghai, China. pp. 2004
32. P. Luu, D.M. Tucker, R. Englander, A. Lockfeld, H. Lutsep, and B. Oken Localizing acute stroke-related EEG changes: assessing the effects of spatial undersampling J. Clin. Neurophysiol. 18 2001 302 317
33. S. Makeig, S. Debener, J. Onton, and A. Delorme Mining event-related brain dynamics Trends Cogn. Sci. 8 2004 204 210
34. K.R. Muller, R. Vigario, F. Meinecke, and A. Ziehe Blind source separation techniques for decomposing event-related brain signals Int. J. Bifurc. Chaos 14 2004 773 791
35. J. Muller-Gerking, G. Pfurtscheller, and H. Flyvbjerg Designing optimal spatial filters for single-trial EEG classification in a movement task Clin. Neurophysiol. 110 1999 787 798
36. L. Parra, C. Alvino, A. Tang, B. Pearlmutter, N. Yeung, A. Osman, and P. Sajdal Linear spatial integration for single-trial detection in encephalography NeuroImage 17 2002 223 230
37. G. Pfurtscheller, J. Kalcher, C. Neuper, D. Flotzinger, and M. Pregenzer On-line EEG classification during externally-paced hand movements using a neural network-based classifier Electroencephalogr. Clin. Neurophysiol. 99 1996 416 425
38. G. Pfurtscheller, C. Neuper, D. Flotzinger, and M. Pregenzer EEG-based discrimination between imagination of right and left hand movement Electroencephalogr. Clin. Neurophysiol. 103 1997 642 651
39. G. Pfurtscheller, C. Neuper, C. Guger, W. Harkam, H. Ramoser, A. Schlogl, B. Obermaier, and M. Pregenzer Current trends in Graz Brain-computer Interface (BCI) research IEEE Trans. Rehabil. Eng. 8 2000 216 219
40. D.T. Pham, J. Mocks, W. Kohler, and T. Gasser Variable latencies of noisy signals: estimation and testing in brain potential data Biometrika 74 1987 525 533
41. T.W. Picton, S. Bentin, P. Berg, E. Donchin, S.A. Hillyard, R. Johnson Jr., G.A. Miller, W. Ritter, D.S. Ruchkin, M.D. Rugg, and M.J. Taylor Guidelines for using human event-related potentials to study cognition: recording standards and publication criteria Psychophysiology 37 2000 127 152
42. H. Ramoser, J. Muller-Gerking, and G. Pfurtscheller Optimal spatial filtering of single trial EEG during imagined hand movement IEEE Trans. Rehabil. Eng. 8 2000 441 446
43. P. Sajda, A. Gerson, K.R. Muller, B. Blankertz, and L. Parra A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces IEEE Trans. Neural Syst. Rehabil. Eng. 11 2003 184 185
44. E. Sellers, E. Donchin, and G. Schalk A P300 based brain-computer interface (BCI): moving toward a communication system for the locked-in: 1 Psychophysiology 41 2004 S76
45. G.W. Snedecor, and W.G. Cochran Statistical Methods 1967 Iowa State University Ames, IA
46. J. Spiegel, J. Tintera, J. Gawehn, P. Stoeter, and R.D. Treede Functional MRI of human primary somatosensory and motor cortex during median nerve stimulation Clin. Neurophysiol. 110 1999 47 52
47. K.C. Squires, and E. Donchin Beyond averaging: the use of discriminant functions to recognize event related potentials elicited by single auditory stimuli Electroencephalogr. Clin. Neurophysiol. 41 1976 449 459
48. J.V. Stone Independent component analysis: an introduction Trends Cogn. Sci. 6 2002 59 64
49. A.C. Tang, B.A. Pearlmutter, M. Zibulevsky, and S.A. Carter Blind source separation of multichannel neuromagnetic responses Neurocomputing 32 2000 1115 1120
50. A.C. Tang, B.A. Pearlmutter, M. Zibulevsky, T.A. Hely, and M.P. Weisend An MEG study of response latency and variability in the human visual system during a visual-motor integration task Advances in Neural Information Processing Systems vol. 12 2000 MIT Press Cambridge, MA 185 191
51. A.C. Tang, B.A. Pearlmutter, N.A. Malaszenko, and D.B. Phung Independent components of magnetoencephalography: single-trial response onset times NeuroImage 17 2002 1773 1789
52. A.C. Tang, B.A. Pearlmutter, N.A. Malaszenko, D.B. Phung, and B.C. Reeb Independent components of magnetoencephalography: localization Neural Comput. 14 2002 1827 1858
53. A.C. Tang, C.J. McKinney, M.T. Sutherland, L. Parra, B.C. Reeb, N.A. Malaszenko, A. Gerson, and P. Sajda Source localization from high density EEG data during a real world task Soc. Neurosci. Abstrc. 2003 619.19
54. A.C. Tang, K.C. Chang, M.T. Sutherland, and C.J. McKinney Predicting single-trial performance in a target detection task from high density EEG Organ. Hum. Brain Mapp. Abstr. 2004 315
55. A.C. Tang, M.T. Sutherland, and C.J. McKinney Validation of SOBI components from high density EEG NeuroImage 25 2005 539 553
56. A.C. Tang, J.Y. Liu, and M.T. Sutherland Recovery of correlated neuronal sources from EEG: The good and bad ways of using SOBI NeuroImage 2005 10.1016/j.neuroimage.2005.06.062
57. S. Thees, F. Blankenburg, B. Taskin, G. Curio, and A. Villringer Dipole source localization and fMRI of simultaneously recorded data applied to somatosensory categorization NeuroImage 18 2003 707 719
58. R.N. Vigario Extraction of ocular artefacts from EEG using independent component analysis Electroencephalogr. Clin. Neurophysiol. 103 1997 395 404
59. R. Vigario, and E. Oja Independence: a new criterion for the analysis of the electromagnetic fields in the global brain? Neural Netw. 13 2000 891 907
60. R. Vigario, J. Sarela, V. Jousmaki, M. Hamalainen, and E. Oja Independent component approach to the analysis of EEG and MEG recordings IEEE Trans. Biomed. Eng. 47 2000 589 593
61. J.R. Wolpaw, D.J. McFarland, and T.M. Vaughan Brain-computer interface research at the Wadsworth Center IEEE Trans. Rehabil. Eng. 8 2000 222 226
62. J.R. Wolpaw, N. Birbaumer, D.J. McFarland, G. Pfurtscheller, and T.M. Vaughan Brain-computer interfaces for communication and control Clin. Neurophysiol. 113 2002 767 791
63. C.D. Woody Characterization of an adaptive filter for the analysis of variable latency neuroelectric signals Med. Biol. Eng. 5 1967 539 553