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Independent Component Analysis of the Event-Related Potential during Visual Oddball Tasks with Multiple Difficulty Levels

다중 난이도를 갖는 시각적 Oddball 작업 수행 시 사상관련전위의 독립요소분석

  • Kim, Ja-Hyun (Department of Biomedical Engineering, College of Health Science, Yonsei University) ;
  • Yoon, Jin (Department of Biomedical Engineering, College of Health Science, Yonsei University) ;
  • Kim, Kyung-Hwan (Department of Biomedical Engineering, College of Health Science, Yonsei University)
  • 김자현 (연세대학교 보건과학대학 의공학부) ;
  • 윤진 (연세대학교 보건과학대학 의공학부) ;
  • 김경환 (연세대학교 보건과학대학 의공학부)
  • Published : 2008.02.29

Abstract

The purpose of this study is to observe the brain activity patterns during visual oddball tasks with two difficulty levels by the analysis of high-density event-related potential (ERP). Along with conventional statistical analysis of averaged ERP waveforms, we applied independent component analysis (ICA) for the individual, single-trial analysis and verified its effectiveness. We could identify multiple ERP components such as early visual components (P1, N1), and two components which seem to be important task-related components and showed difficulty-dependent variability (P2, P300). The P2 was found around central region at $180{\sim}220ms$, and the P300 was found globally at $300{\sim}500ms$ poststimulus. As the task became difficult, the P2 amplitude increased, and the P300 amplitude decreased. After single-trial ERPs were decomposed into multiple independent components (ICs), several ICs resulting from P2 and P300 sources were identified. These ICs were projected onto scalp electrodes and the projected ICs were statistically compared according to two task difficulties. For most subjects, the results obtained from single-trial/individual analysis using ICA gave the tendencies of amplitude change that are similar to the averaged ERP analysis for most subjects. The temporal pattern and number of ICs corresponding to ${\mu}$ rhythm was not dependent on the task difficulty. It seems that the motor response was not affected by the task difficulty.

Keywords

References

  1. J. Polich, The Scripps Research Institute, CA, USA, 'Neurophysiology of P3a and P3b: A theoretical overview,' Kjellberg Press, 2004, pp.15-32
  2. J. Polich, J. Corey-Bloom,'Alzheimer's disease and P300: Review and evaluation of task and modality,' Curr. Alzheimer. Res., vol. 2, no. 3, pp. 515-525, 2005 https://doi.org/10.2174/156720505774932214
  3. J. Polich,'Clinical application of the P300 event-related brain potential,' Phys. Med. Rehabil. Clin. N. Am., vol. 15, no. 1, pp. 133-161, 2004 https://doi.org/10.1016/S1047-9651(03)00109-8
  4. J. Polich, J.E.Alezander, L.O.Bauer, S.Kuperman, S.Morzorati, S.J.O'Connor, B.Porjesz,J. Rohrbaugh and H.Begleiter, 'P300 topography of amplitude/latency correlations,' Brain Topogr., vol. 9, no. 4, pp. 275-282, 1997 https://doi.org/10.1007/BF01464482
  5. A. Kok, 'On the utility of P3 amplitude as a measure of processing capacity,' Psychophysiology., vol. 38, no. 3, pp. 557-577, 2001 https://doi.org/10.1017/S0048577201990559
  6. R. Sawaki, J. Katayama, 'Difficulty of discrimination modulates attentional capture for deviant information,' Psychophysiology., vol. 44, no. 3,pp. 374-382, 2007 https://doi.org/10.1111/j.1469-8986.2007.00506.x
  7. G.F. Hagen, J.R. Gatherwright, B.A Lopez and J. Polich, 'P3a from visual stimuli: Task difficulty effects,' Int. J. Psychophysiol., vol. 59, no. 1, pp. 8-14, 2006 https://doi.org/10.1016/j.ijpsycho.2005.08.003
  8. J. Polich, M.D. Comerchero, 'P3a from visual stimuli: typicality, task, and topography,' Brain Topogr., vol. 15,no.3,pp. 141-152, 2003 https://doi.org/10.1023/A:1022637732495
  9. J. Polich, L.D. Hoffman, 'Alzheimer's disease and P300: evaluation of modality and task difficulty,' Electroencephalogr. Clin. Neurophysiol. Suppl., vol. 1998, pp. 527-536, 1998
  10. T-P. Jung, S. Makeig, M. Westerfield, J. Townsend, E. Courchesne and T.J. Sejnowski, 'Analysis and visualization of single-trial Event-related potentials,' Hum. Brain Mapp., vol. 14, no.3, pp.166-185, 2001 https://doi.org/10.1002/hbm.1050
  11. 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, no.2, pp.163-78, 2000 https://doi.org/10.1017/S0048577200980259
  12. S. Debener, S. Makeig, A. Delorme and A.K. Engel, 'What is novel in the novelty oddball paradigm? Functional significance of the novelty P3 event-related potential as revealed by independent component analysis,' Brain Res. Cogn. Brain Res., vol. 22. no. 3, pp. 309-321, 2005 https://doi.org/10.1016/j.cogbrainres.2004.09.006
  13. 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. Natl. Acad. Sci. USA., vol. 94, no. 20, pp. 10979-10984, 1997 https://doi.org/10.1073/pnas.94.20.10979
  14. T.-W. Lee, M. Girolami, A.J. Bell and T.J. Sejnowski, 'A unifying information-theoretic framework for independent component analysis,' Comput. Math. Appl., vol. 39, no. 11, pp. 1-21, 2000
  15. V. Jurcak, D. Tsuzuki, I. Dan, '10/20, 10/10, and 10/5 systems revisited: Their validity as relative head-surf ace-based positioning systems,' Neurolmage., vol. 34, no. 15, pp. 1600- 1611, 2007 https://doi.org/10.1016/j.neuroimage.2006.09.024
  16. T.-W. Picton, S. Bentin, P. Berg, E. Donchin, S.A. Hillyard, J.R. Johnson, 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., vol. 37, no. 2, pp. 127-152, 2000 https://doi.org/10.1017/S0048577200000305
  17. F.P. Geoffrey, 'An ERP index of task relevance evaluation of visual stimuli,' Brain Cogn., vol. 56, no. 1, pp. 5-13, 2004 https://doi.org/10.1016/j.bandc.2004.03.006
  18. J.Polich,J.E.Alexander,L.O.Bauer,S.Kuperman,S.Morzorati,S.J.O'Connor,B.Porjesz,J.Rohrbaugh and H.Begleiter.'P300 topography of amplitude/latency correlations,' Brain Topogr., vol. 9, no. 4, pp. 275-282, 1997 https://doi.org/10.1007/BF01464482
  19. J.A. Pineda, 'The functional significance of $\mu$ rhythms: Translating 'seeing' and 'hearing' into 'doing', Brain. Res. Brain Res. Rev., vol. 50, no. 3, pp. 57-68, 2005 https://doi.org/10.1016/j.brainresrev.2005.04.005