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Analysis of Affective Effects on Steady-State Visual Evoked Potential Responses

  • Shangfei Wang
  • Guobing Wu
  • Yachen Zhu
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 194)

Abstract

This paper aims to investigate the effect of different emotional states on healthy subjects’ steady-state visual evoked potential responses. First, affective steady-state visual evoked response experiments are designed and implemented. Emotion eliciting pictures selected from the International Affective Picture System are flickered on the four directions of the screen at the frequency of 10Hz, 11Hz, 12Hz and 15Hz respectively. Subjects’ EEG signals are recorded by a Quik-cap simultaneously. After that, spectral density analysis and canonical correlation analysis are conducted across trials respectively to extract features. Then a one-way analysis of variance is performed to evaluate the effect of different emotional states on subjects’ steady-state visual evoked potential responses. Results show that there exist significant differences between steady-state visual potential response under different emotional states. Both positive and negative emotions enhance subjects’ steady-state visual evoked potential responses. Thus it is easier to detect subjects response under positive and negative emotional states than that under neutral state.

Keywords

affective steady-state visual evoked potential responses canonical correlation analysis 

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References

  1. 1.
    Nijholt, A., Tan, D.: Brain-Computer Interfacing for Intelligent Systems. IEEE Intelligent Systems 23(3), 72–79 (2008)CrossRefGoogle Scholar
  2. 2.
    Bin, G., Gao, X., Yan, Z., Hong, B., Gao, S.: An online multi-channel SSVEP-based brain Ccomputer interface using a canonical correlation analysis method. Journal of Neural Engineering 6(4), 046002 (2009)Google Scholar
  3. 3.
    Pastor, M.A., Artieda, J., Arbizu, J., Valencia, M., Masdeu, J.C.: Human Cerebral Activation during Steady-State Visual-Evoked Responses. The Journal of Neuroscience 23(37), 11621–11627 (2003)Google Scholar
  4. 4.
    Lalor, E.C., Kelly, S.P., Finucane, C., Burke, R., Smith, R., Reilly, R.B., McDarby, G.: Steady-state VEP-based brain-computer interface control in an immersive 3D gaming environment. EURASIP J. Appl. Signal Process., 3156–3164 (2005)Google Scholar
  5. 5.
    Wang, Y.-T., Wang, Y., Jung, T.-P.: A cell-phone-based brain Ccomputer interface for communication in daily life. Journal of Neural Engineering 8(2), 025018 (2011)Google Scholar
  6. 6.
    Lin, Z., Zhang, C., Wu, W., Gao, X.: Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs. IEEE Transactions on Biomedical Engineering 53(12), 2610–2614 (2006)CrossRefGoogle Scholar
  7. 7.
    Gollee, H., Volosyak, I., McLachlan, A.J., Hunt, K.J., Graser, A.: An SSVEP-Based Brain CComputer Interface for the Control of Functional Electrical Stimulation. IEEE Transactions on Biomedical Engineering 57(8), 1847–1855 (2010)CrossRefGoogle Scholar
  8. 8.
    Zhu, D., Bieger, J., Molina, G.G., Aarts, R.M.: A survey of stimulation methods used in SSVEP-based BCIs. Intell. Neuroscience, 1–12 (2010)Google Scholar
  9. 9.
    Molina, G.G., Tsoneva, T., Nijholt, A.: Emotional brain-computer interfaces. In: 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 (2009)Google Scholar
  10. 10.
    Nijboer, F., Carmien, S.P., Leon, E., Morin, F.O., Koene, R.A., Hoffmann, U.: Affective brain-computer interfaces: Psychophysiological markers of emotion in healthy persons and in persons with amyotrophic lateral sclerosis. IEEE (2009)Google Scholar
  11. 11.
    Kemp, A.H., Gray, M.A., Eide, P., Silberstein, R.B., Nathan, P.J.: Steady-state visually evoked potential topography during processing of emotional valence in healthy subjects. Neuroimage 17(4), 1684–1692 (2002)CrossRefGoogle Scholar
  12. 12.
    Keil, A., Gruber, T., Mller, M.M., Moratti, S., Stolarova, M., Bradley, M.M., Lang, P.J.: Early modulation of visual perception by emotional arousal: evidence from steady-state visual evoked brain potentials. Cognitive, Affective, & Behavioral Neuroscience 3(3), 195–206 (2003)CrossRefGoogle Scholar
  13. 13.
    Bakardjian, H., Tanaka, T., Cichocki, A.: Emotional faces boost up steady-state visual responsesforbrain Ccomputer interface. NeuroReport 22(3), 121–125 (2011), doi:10.1097/WNR.0b013e32834308b0CrossRefGoogle Scholar
  14. 14.
    Vernon Odom, J., Bach, M., Barber, C., Brigell, M., Marmor, M.F., Tormene, A.P., Holder, G.E.: Vaegan, Visual evoked potentials standard. Documenta Ophthalmologica 108(2), 115–123 (2004)CrossRefGoogle Scholar
  15. 15.
    Lang, P.J., Bradley, M.M., Cuthbert, B.N.: International affective picture system (IAPS): Technical manual and affective ratings. The Center for Research in Psychophysiology, University of Florida, Gainesville, FL (1999)Google Scholar
  16. 16.
    Schneider, W., Eschman, A., Zuccolotto, A.: E-Prime reference guide, Psychology Software Tools, Inc. (2002)Google Scholar
  17. 17.
    Friman, O., Volosyak, I., Graser, A.: Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces. IEEE Transactions on Biomedical Engineering 54(4), 742–750 (2007)CrossRefGoogle Scholar
  18. 18.
    Hakvoort, G., Reuderink, B., Obbink, M.: Comparison of PSDA and CCA detection methods in a SSVEP-based BCI-system. Enschede, Centre for Telematics and Information Technology, University of Twente (2011)Google Scholar
  19. 19.
    Cheng, M., Gao, X., Gao, S., Xu, D.: Design and implementation of a brain-computer interface with high transfer rates. IEEE Transactions on Biomedical Engineering 49(10), 1181–1186 (2002)CrossRefGoogle Scholar
  20. 20.
    Borga, M.: Canonical Correlation: a Tutorial (January 2001)Google Scholar
  21. 21.
    Hardoon, D.R., Szedmak, S., Shawe-Taylor, J.: Canonical correlation analysis: An overview with application to learning methods. Neural Computation 16(12), 26 (2004)CrossRefGoogle Scholar
  22. 22.
    Lauri, N., Jukka, H., Calvo Manuel, G.: Eye movement assessment of selective attentional capture by emotional pictures. Emotion 6(2), 257 (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Key Lab of Computing and Communicating Software of Anhui Province School of Computer Science and TechnologyUniversity of Science and Technology of ChinaHefeiP.R. China

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