Imaging brain dynamics component analysis

Proceedings of the IEEE

Volumn 89, Issue 7, 2001, Pages 1107-1122

  Jung, Tzyy Ping ^a   Makeig, Scott ^a   Mckeown, Martin J ^b   Bell, Anthony J ^b   Lee, T E Won ^c   Sejnowski, Terrence J ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Saik Institute for Biological Studies   (United States)

^c DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Blind source separation; EEG; fMRI; Independent component analysis

Indexed keywords

EID: 33646933543     PISSN: 00189219     EISSN: None     Source Type: Journal    
DOI: 10.1109/5.939827     Document Type: Article

References (71)

1. J. Herault and C. Jutten, "Space or time adaptive signal processing by neural network models," presented at the Neural Networks for Computing: A1P Conf., 1986.
2. [21 C. Jutten and .1. Herault, "Blind separation of sources 1. An adaptive algorithm based on neuromimeiic architecture," Signal Process., vol. 24. pp. 1-10. 1991.
3. D. T. Pham, P. Garat, and C. Jutten, "Separation of a mixture of independent sources through a maximum likelihood approach," presented at the Proc. EUS1FCO, 1992.
4. [41 P. Comon, "Independent component analysis, a new concept?," Signal Process., vol. 36, pp. 287-314, 1994.
5. A. Cichocki, R. Unbehauen, and E. Rummert, "Robust learning algorithm for blind separation of signals." Electron. Lett., vol. 30, pp. 1386-1387, 1994.
6. A. J. Bell and T. J. Scjnowski, "An information-maximization approach to blind separation and blind dcconvolution," Neural Comput., vol. 7, pp. 1129-1159, 1995.
7. J. F. Cardoso and B. H. Laheld, "Equivariant adaptive source separation.'1 IEEE Trans. Signal Processing, vol. 44, pp. 3017-3030,1996.
8. S. Amari, "Natural gradient works efficiently in learning," Neural Coniput., vol. 10, pp. 251-276, 1998.
9. M. Girolami, "An alternative perspective on adaptive independent component analysis algorithm," Neural Compta., vol. 10, pp. 2103-2114, 1998.
10. T. W. Lee, M. Girolami, and T. J. Sejnowski, "Independent component analysis using an extended intbmax algorithm for mixed subGaussian and superGaussian sources," Neural Comput., vol. 11, pp. 417-441, 1999.
11. S. Makeig, T.-P. Jung, A. J. Bell, D. Ghahremani, and T. J. Sejnowski. "Blind separation of auditory event-related brain responses into independent components," Proc. Nat. Acad. Sei. USA, vol. 94, pp. 10979-10984, 1997.
12. T. W. Lee, M. Girolami, A. J. Bell, and T. J. Sejnowski, "A unifying information-theoretic framework for independent component analysis," Comput. Math. Applicat., vol. 39, pp. 1-21, 2000.
13. A. Hyvaerinen, "Survey on independent component analysis," Xeural Comput. Sur., voL 2, pp. 94-128, 1999.
14. S. Haykin, Unsupervised Adaptive Filtering. Englewood Cliffs, NJ: Prentice-Hall, 2000.
15. M. Girolami, Advances in Independent Component Analysis. New York: Springer-Verlag, 2000.
16. A. J. Bell, "Independent component analysis," in Handbook of Neural Networks, .M. Arbib, Ed., to be published.
17. A. J. Bell and T. J. Sejnowski, "The 'independent components' of natural scenes are edge filters," Vision Res., vol. 37, pp. 3327-3338, 1997.
18. B. A. Olshausen and D. J. Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature, vol. 381, pp. 607-609. 1996.
19. A. J. Bell and T. J. Sejnowski, "Edges are the independent components of natural scenes." Adv. Neural Inform. Process. Svst., vol. 9, pp. 831-837, 1997.
20. J. H. van Haieren and D. L. Ruderman, "Independent component analysis of natural image sequences yields spatio-temporal filters similar to simple cells in primary visual cortex," Pmc. R. Sac. London B, Biol. Set., ser. , vol. 265, pp. 2315-2320, 1998.
21. M. Scherg and D. Von Cratnon. "Evoked dipole source potentials of the human auditor) cortex," Eleclroencephalog r. Clin. Neurophysiol., vol. 65. pp. 344-360. 1986.
22. A. Lilt, J. Belliveau, and A. Dale, "Spatiotemporal imaging of human brain activity using functional MRI constrained magnetoencephalography data: Monte Carlo simulations," in P roc. .Va. Academy of Sciences USA, vol. 95, 1998, pp. 8945-S950.
23. S. Makeig, A. J. Bell, T.-P. Jung, and T. J. Sejnowski, "Independent component analysis of electroencephalographic data," Adv. Neural inform. Process. Syst.. vol. 8, pp. 145-151, 1996.
24. L. Zhukov, D. Weinstein, and C. Johnson, ''Independent component analysis for EEG source localization," IEEE Eng. Med. Biol. Mag., vol. 19, pp. 87-96, 2000.
25. S. Makeig, M. Westerfield, T.-P. Jung, J. Covington, J. Townsend, T. J. Sejnowski. and E. Courchesne, "Functionally independent components of the late positive event-related potential during visual spatial attention," J. Neurosd., vol. 19, pp. 2665-2680, 1999.
26. S. Makeig, M. Westerfield, J. Townsend, T.-P. Jung, E. Courchesne, and T. J. Sejnowski. "Functionally independent components of early event-related potentials in a visual spatial attention task," Philos. Trans. R. Soc. London B, Biol. Sci., vol. 354, pp. 1135-1144, 1999.
27. T.-P. Jung. C. Humphries, T.-W. Lee, S. Makeig, M. J. McKcown, V. Iragui, and T. J. Sejnowski, "Removing electroencephalographic artifacts: Comparison between ICA and PCA," Neural New. Signal Process., vol. VIII, pp. 63-72, 1998.
28. "Extended ICA removes artifacts from electroencephalographic data," Adv. Neural Inform. Process. Syst., vol. 10, pp. 894-900, 1998.
29. T.-P. Jung, S. Makeig, M. Westerfield, J. Townsend, E. Courchesne, and T. J. Sejnowski, "Analyzing and visualizing single-trial event-related potentials." Adv. Neural Inform. Process. S\st., vol. 11, pp. 118-124,1999.
30. 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, vol. 37, pp. 163-178,2000.
31. T.-P. Jung, S. Makeig, T.-W. Lee, M. J. McKeown, G. Brown, A. j. Bell, and T. J. Sejnowski, "Independent component analysis of biomédical signals," in 2nd Int. Workshop on Independent Component Analysis and Signal Separation, 2000, pp. 633-644.
32. S. Makeig, S. Enghoff, T.-P. Jung, and T. J. Sejnowski, "Moving-window ICA decomposition of EEG data reveals event-related changes in oscillatory brain activity," in 2nd Int. Workshop on Independent Component Analysis and Signal Separation, 2000, pp. 627-632.
33. [33 j M. J. McKeown, C. Humphries, V. Iragui, and T. J. Sejnowski, "Spatially fixed patterns account for the spike and wave features in absence seizures," Br. Topogr., vol. VI2, pp. 107-116, 1999.
34. A. K. Barros, R. Vigärio, V. Jousmäki, and N. Ohnishi, "Extraction of event-related signals from multichannel bioelectrical measurements." IEEE Trans. Blamed. Eng., vol. 47, pp. 583-588, 2000.
35. S. Ikeda and K. Toyama, "Independent component analysis for noisy data-MEG data analysis," Neural Nenvorks, vol. 13, pp. 1063-1074, 2000.
36. A. C. Tang, B. A. Pearlmutter, and M. Zibulevsky, "Blind source separation of multichannel neuromagnetic responses." Comput. Neurosd. Proc. Xeurocomput., vol. 32-33, pp. 1115-1120. 2000.
37. R- Vigário, J. Särelä, V. Jousmäki, M. Hämäläinen, and E. Oja, "Independent component approach to the analysis of EEG and MEG recordings," IEEE Tran:,. Bioined. Eng , vol. 47. pp. 589-593. 2000.
38. P. Ntinez, Electric Fields of the Brain. London, U.K.: Oxford Univ. Press, 1981.
39. S. Makeig, M. Mueller, and B. Rockstroh. "Effects of voluntary movements on early auditory brain responses," Exp. Br. Res., vol. 110, pp. 487-492, 1996.
40. R. Simson, H. G. Vaughn Jr., and W. Ritter, "The scalp topography of potentials in auditory and visual discrimination tasks," Electroencephalogr. Clin. Neurophysiot., vol. 42. pp. 528-535, 1977.
41. K. J. Fristen, "Statistical parametric mapping and other analyzes of functional imaging data," in Brain Mapping, The Methods, A. W. Toga and J. C. Mazziotta, Eds. San Diego: Academic, 1996, pp. 363-396.
42. M. J. McKeown, C. Humphries, P. Achermann, A. A. Borbeiy, and T. J. Sejnowski, "A new method for detecting state changes in the EEG: Exploratory application to sleep data." J. Steep Res., vol. V7, pp. 48-56, 1998.
43. A. J. Bell and T. J. Sejnowski, "Learning the higher-order structure of analurai sound," Netw. Compta. Neural Syst., vol. 7, pp. 261-266, 1996.
44. S. Makeig, "Auditory event-related dynamics of the EEG spectrum and effects of exposure to tones," Eteciromicephalogr. Clin. Neurophysiol, vol. 86, pp. 283-293, 1993.
45. T.-P. Jang, S. Vlakeig, M. Westerfield, J. Townsend, E. Courchesne, and T. J. Sejnowski, "Analysis and visualization of single-trial event-related potentials," Hum. Br. Map., to be published.
46. T.-P. Jung, S. Makeig, M. Weslerfield, J. Tovvnsend, E. Courchesne, and T. J. Sejnowski, "Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects," Clin. N'euwphysiu!., vol. 111, pp. 1745-1758. 2000.
47. S. Makeig, S. Enghoff, T.-P. Jung, and T. J. Sejnowski, "A natural basis for brain-actuated control," IF.FF. Trans. Rehab. Eng., vol. 8, pp. 208-211, 2000.
48. K. Kobajashi, C. J. James, T. Nakahori, T. Akiyama, and J. Gotman, "Isolation of epileptiform discharges from unaveraged EEG by independent component analysis." Clin. Neumpkysiol., vol. 110. pp. 1755-1763, 1999.
49. S. Makeig, T.-P. Jung, and T. J. Sejnowski, "Independent component analysis of single-trial event-related potentials," Sac: Neurosci. Abstr., vol. 23, p. 1061, 1997.
50. K. K. Kwong, J. W. Belliveau, D. A. Chester, I. E. Goldberg, R. M. Weisskoff, B. P. Poncelet. D. N. Kennedy, B. E. Hoppcl, M. S. Cohen, and R. Turner et ai. "Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation," in Proc. Nat. Academy of Sciences USA, vol. 89, 1992, pp. 5675-5679.
51. S. Ogawa, D. Tank, R. Menon, J. Eilermann, S. Kim, H. Merkle, and U. K. "Intrinsic signal changes accompanying sensory stimulation: Functional brain mapping with magnetic resonance imaging," in Proc. Nat. Academy of Sciences USA, vol. 89, 1992, pp. 51-55.
52. M. J. McKeown, S. Makeig, G. G. Brown, T.-P. Jung, S. S. Kindermann, A. J. Bell, and T. J. Sejnowski, "Analysis of fMRI data by blind separation into independent spatial components," Hum. Br. Map., vol. 6, pp. 160-188, 1998.
53. M. J. McKeown, T.-P. Jung, S. Makeig, G. Brown, S. S. Kindermann, T.-W. Lee, and T. J. Sejnowski, "Spatially independent activity patterns in functional MRI data during the S troop color-naming task." Proc. Nat. Acud. Sei. USA, vol. 95, pp. 803-810, 1998.
54. M. J. McKeown and T. J. Sejnowski, "Independent component analysis of fMRI data: Examining the assumptions," Hum. Br.Map.. vol. 6, pp. 368-372, 1998.
55. M. J. McKeown, "Detection of consistently task-related activations in fMRI data with hybrid independent component analysis," Neuroimage, vol. VI1, pp. 24-35, 2000.
56. K. J. Frislon, "Modes or models: A critique on independent component analysis for fMRI [Comment]," Trends Cogn. Sei., vol. 2, pp. 373-375, 1998.
57. M. J. McKeown, S. Makeig, G. G. Brown, T.-P. Jung, S. S. Kindermann, A. J. Bell, and T. J. Sejnowski, "Response from McKeown, Vlakeig, Brown, Jung, Kindermann, Bell, and Sejnowski [Comment]," Trends Cogn. Sci., vol. 2, p. 375, 1998.
58. J. Kelso, A. Fuchs, R. Lancaster, T. Holroyd, D. Cheyne, and H. Weinberg, "Dynamic cortical activity in the human brain reveals motor equivalence," Nature, vol. 392, pp. 814-818, 1998.
59. S. A. Berns GS and H. Mao, "Continuous functional magnetic resonance imaging reveals dynamic nonlinearities of 'dose-response' curves for finger opposition," J. Neurosci., vol. 19, p. RC17, 1999.
60. C. Moritz, V. Haughton, D. Cordes, M. Qiiigley, and M. Meyerand, "Whole-brain functional MR imaging activation from a finger-tapping task examined with independent component analysis," Amer. J. Neuraradivl.. vol. 21, pp. 1629-1635, 2000.
61. K. Arfanakis, D. Cordes, V. Haughton, C. Moritx, M. Quigley, and Meyerand, "Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets." Magn. Res. Intug.. vol. 18, pp. 921-930, 2000.
62. K. Petersen, L. Hansen, T. Kolenda, E. Rostrup, and S. Strother, "On the independent components of functional neuroimages," in Int. Workshop on Independent Component Analysis fICA 2000), 2000.
63. S. Makeig, T.-P. Jung, D. Ghahremani, and T. J. Sejnowski, "Independent component analysis of simulated ERP data," in Hum. High. Func. 1: Adv. .Vleth., T. Nakada, Ed.. 2000.
64. I. Schiessbl, M. Stetter, J. E. Mayhew, M. N, J. S. Lund, and K. Obermayer, "Blind signal separation from optical imaging recordings with extended spatial dcconrciation," IEEE Trans. Biomed. Eng., vol. 47, pp. 573-577, 2000.
65. M. Laubach, M. Shuler, and M. A. L. Xicolelis, "Independent component analyzes fur quantifying neuronal ensemble interactions,'' J. Xeurvsci. Meth., vol. 94, pp. 141-154, 1999.
66. M. Launach, J. Wessberg, and M. A. L. Nicoielis. "Cortical ensemble activity increasingly predicts benaviorai Outcomes during learning of a motor tasK," Nature, vol. 405, pp. 567-571, 2000.
67. G. D. Brown, S. Yamada, and T. J. Sejnowski, "Independent component analysis (ICA) at the neural cocktail party," Trend.', \eiirosci., vol. 24, pp. 54-63, 2001.
68. K. Prank, J. Borger, A. von zur Muhlen, G. Brabant, and C. Schofl, "Independent component analysis of ititraceltular calcium spke data," Adv. Neural Inform. Process. Syst., vol. 11, no. 931-937, 1999.
69. L. Y. Kermadi I, A. Ternpini, and E. M. Rouiller, "Effects of reversible inactivation of the supplementary motor area (SMA) on unimanual grasp and biranual pull anc grasp performance in monkeys," Sornatasens. Motor Res., vol. 14, pp. 268-280, 1997.
70. T.-P. Jung, S. Makeig, J. Townsend, M. Wesfcrficld, B. Hicks, E. Courchesne, and T. J. Sejnowski. "Single-trial ERP's during continuous fMRI scanning," Soc. Neumuci. Absir., vol. 25, p. 1389, 1999.
71. K. J. Frisron, P. Flctchcr, O. Josephs, A. Holmes, M. D. Rjgg, and R. Turner, "Event-related fMRI: Characterizing differential responses," Neuroimage, vol. 7, pp. 30-40, 1998.