Modulations in Low-Frequency EEG Oscillations in the Processing of Tactile Surfaces

  • Francisco Muñoz
  • Manuel Sebastián
  • José Manuel Reales
  • Soledad Ballesteros
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6192)


The present study investigated low-oscillatory (theta band, 3-7 Hz) modulations induced by tactile roughness stimulations under two attention-demanding conditions. Four levels of roughness were presented under low-demanding and high-demanding conditions. In both conditions, an oddball paradigm was used to present three target surfaces varying in roughness (low, mid, and high levels of roughness), and a nontarget flat surface. The results showed that centro-parietal theta oscillations are involved in allocating attentional resources when participants have to update new information induced by incoming haptic stimuli. Theta power was higher in the high-demanding task compared to the low-demanding. Furthermore, theta power varied depending on tactile roughness but not in a linear manner. This was interpreted as that theta oscillations were sensitive not only to task difficulty but also to physical properties.


tactile roughness perception brain oscillations attentional demands theta band 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Lakatos, P., Karmos, G., Mehta, A.D., Ulbert, I., Schroeder, C.E.: Entrainment of neuronal oscillations as a mechanism of attentional selection. Science 320, 110–113 (2008)CrossRefGoogle Scholar
  2. 2.
    David, O., Harrison, L., Friston, K.J.: Modelling event-related responses in the brain. Neuroimage 25, 756–770 (2005)CrossRefGoogle Scholar
  3. 3.
    Yordanova, J., Devrim, M., Kolev, V., Ademoglu, A., Demiralp, T.: Multiple time-frequency components account for the complex functional reactivity of P300. Neuroreport 11, 1097–1103 (2000)CrossRefGoogle Scholar
  4. 4.
    Spencer, K.M., Polich, J.: Poststimulus EEG spectral analysis and P300: attention, task, and probability. Psychophysiology 36, 220–232 (1999)CrossRefGoogle Scholar
  5. 5.
    Digiacomo, M.R., Marco-Pallarés, J., Flores, A.B., Gómez, C.M.: Wavelet analysis of the EEG during the neurocognitive evaluation of invalidly cued targets. Brain Research 1234, 94–103 (2008)CrossRefGoogle Scholar
  6. 6.
    Ishii, R., Canuet, L., Herdman, A., Gunji, A., Iwase, M., Takahashi, H., Nakahachi, T., Hirata, M., Robinson, S.E., Pantev, C., Takeda, M.: Cortical oscillatory power changes during auditory oddball task revealed by spatially filtered magnetoencephalography. Clinical Neurophysiology 120, 497–504 (2009)CrossRefGoogle Scholar
  7. 7.
    Oniz, A., Başar, E.: Prolongation of alpha oscillations in auditory oddball paradigm. International Journal of Psychophysiology 71, 235–241 (2009)CrossRefGoogle Scholar
  8. 8.
    Delorme, A., Makeig, S.: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods 134, 9–21 (2004)CrossRefGoogle Scholar
  9. 9.
    Reales, J.M., Muñoz, F., Kleinboehl, D., Sebastián, M., Ballesteros, S.: A new device to present textured stimuli to touch with simultaneous EEG recording. Behavioral Research Methods 42, 547–555 (2010)CrossRefGoogle Scholar
  10. 10.
    Fitzgerald, P.G., Picton, T.W.: Event-related potentials recorded during the discrimination of improbable stimuli. Biological Psychology 17, 241–276 (1983)CrossRefGoogle Scholar
  11. 11.
    Spencer, K., Polich, J.: Post-stimulus EEG spectral analysis and P300: attention, task, and probability. Psychophysiology 36, 220–232 (1999)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Francisco Muñoz
    • 1
  • Manuel Sebastián
    • 1
  • José Manuel Reales
    • 1
  • Soledad Ballesteros
    • 1
  1. 1.UNED, Department of Basic Psychology IIMadridSpain

Personalised recommendations