Decoding Attentional Orientation from EEG Spectra

  • Ramesh Srinivasan
  • Samuel Thorpe
  • Siyi Deng
  • Tom Lappas
  • Michael D’Zmura
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5610)

Abstract

We have carried out preliminary experiments to determine if EEG spectra can be used to decode the attentional orientation of an observer in three-dimensional space. Our task cued the subject to direct attention to speech in one location and ignore simultaneous speech originating from another location. We found that during the period where the subject directs attention to one location in anticipation of the speech signal, EEG spectral features can be used to predict the orientation of attention. We propose to refine this method by training subjects using feedback to improve classification performance.

Keywords

EEG attention orienting classification 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Desimone, R., Duncan, J.: Neural mechanisms of selective visual attention. Annu. Rev. Neurosci. 18, 193–222 (1995)CrossRefGoogle Scholar
  2. 2.
    Egeth, H.E., Yantis, S.: Visual attention: control, representation, and time course. Annual Reviews in Psychology 48, 269–297Google Scholar
  3. 3.
    Kastner, S., Ungerleider, L.G.: Mechanisms of visual attention in the human cortex. Annual Review of Neuroscience 23, 315–341 (2000)CrossRefGoogle Scholar
  4. 4.
    Spence, C., Pavani, F., Driver, J.: Crossmodal links between vision and touch in covert endogeneous spatial attention. Journal of Experimental Psychology: Human Perception and Peformance 26, 1298–1319 (2000)Google Scholar
  5. 5.
    Spence, C., Driver, J.: Crossmodal attention. Current Opinion in Neurobiology 8, 245–253 (1998)CrossRefGoogle Scholar
  6. 6.
    Moore, T., Armstrong, K.M., Fallah: Visuomotor origins of covert spatial attention. Neuron 40, 671–683Google Scholar
  7. 7.
    Sheliga, B.M., Riggio, L., Rizzolatti, G.: Orienting of attention and eye movements. Experimental Brain Research 98, 507–522 (1994)CrossRefGoogle Scholar
  8. 8.
    Hillyard, S.A., Anllo-Vento, L.: Event-related brain potentials in the study of visual selective attention. PNAS 95, 781–787 (1998)CrossRefGoogle Scholar
  9. 9.
    Kastner, S., Pinsk, M., De Weerd, P., Desimone, R., Ungerleider, L.: Increased activity in human visual cortex during directed attention in the absence of visual stimulation. Neuron 22, 751–761 (1999)CrossRefGoogle Scholar
  10. 10.
    Corbetta, M., Shulman, G.L.: Control of goal- and stimulus-driven attention in the brain. Nature Reviews Neuroscience 31, 201–215 (2002)Google Scholar
  11. 11.
    Ding, J., Sperling, G., Srinivasan, R.: SSVEP power modulation by attention depends on the network tagged by the flicker frequency. Cerebral Cortex 16, 1016–1029 (2006)CrossRefGoogle Scholar
  12. 12.
    Sylvester, C., Jack, A., Corbetta, M., Shulman, G.: Anticipatory Suppression of Nonattended Locations in Visual Cortex Marks Target Location and Predicts Perception. Journal of Neuroscience 28(26), 6549–6556 (2008)CrossRefGoogle Scholar
  13. 13.
    Shulman, G., Ollinger, J., Akbudak, E., Conturo, T., Snyder, A., Petersen, S., Corbetta, M.: Areas Involved in Encoding and Applying Directional Expectations to Moving Objects. The Journal of Neuroscience 19(21), 9480–9496 (1999)Google Scholar
  14. 14.
    Fu, K., Foxe, J., Murray, M., Higgins, B., Javitt, D., Schroeder, C.: Attention-dependent suppression of distracter visual input can be cross-modally cued as indexed by anticipatory parieto–occipital alpha-band oscillations. Cognitive Brain Research 12, 145–152 (2001)CrossRefGoogle Scholar
  15. 15.
    Worden, M., Foxe, J., Wang, N., Simpson, G.: Anticipatory Biasing of Visuospatial Attention Indexed by Retinotopically Specific alpha band Electroencephalography Increases over Occipital Cortex. The Journal of Neuroscience 20 (2000)Google Scholar
  16. 16.
    Moore, T.J.: Voice communication jamming research. In: AGARD Conference Proceedings 331: Aural Communication in Aviation, vol. 2, pp. 1–6 (1981)Google Scholar
  17. 17.
    Weichselgartner, E., Sperling, G.: Dynamics of automatic and controlled visual attention. Science 238, 778–780 (1987)CrossRefGoogle Scholar
  18. 18.
    Gitelman, D., Nobre, A., Parrish, T., LaBar, K., Kim, Y., Meyer, M., Mesulam, M.: A large-scale distributed network for covert spatial attention, Further anatomical delineation based on stringent behavioural and cognitive controls. Brain 122(6), 1093–1106 (1999)CrossRefGoogle Scholar
  19. 19.
    Posner, M., Petersen, S.: The attention system of the human brain. Annual Review Neuroscience 13, 25–42 (1990)CrossRefGoogle Scholar
  20. 20.
    Coull, J.T.: Neural correlates of attention and arousal: insights from electrophysiology, functional neuroimaging and psychopharmacology. Progress in Neurobiology 55(4), 343–361 (1998)CrossRefGoogle Scholar
  21. 21.
    Foxe, J., Simpson, G., Ahlfors, S.: Parieto-occipital ~10 Hz activity reflects anticipatory state of visual attention mechanisms. NeuroReport 9, 3929–3933 (1998)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ramesh Srinivasan
    • 1
  • Samuel Thorpe
    • 1
  • Siyi Deng
    • 1
  • Tom Lappas
    • 1
  • Michael D’Zmura
    • 1
  1. 1.Department of Cognitive SciencesUC Irvine, SSPA 3151IrvineUSA

Personalised recommendations