Advertisement

State-Dependent Cortical Synchronization Networks Revealed by TMS-EEG Recordings

  • Keiichi KitajoEmail author
  • Ryohei Miyota
  • Masanori Shimono
  • Kentaro Yamanaka
  • Yoko Yamaguchi
Conference paper

Abstract

Transcranial magnetic stimulation (TMS) can noninvasively modulate cortical ongoing activity in the human brain. We investigated frequency-specific and state-dependent cortical network by analyzing how modulation of cortical ongoing activity at one cortical area is propagated to the rest of the brain by TMS-EEG recordings. We found frequency-specific and state-dependent changes in propagation of TMS-evoked phase resetting of cortical ongoing activity in the open eye condition and closed eye condition. We discussed the functional significance of state-dependent synchronization networks observed.

References

  1. 1.
    von der Malsburg, C.: The correlation theory of brain function. In Schulten K., ed.: Models of neural networks II. Berlin: Springer (1994) pp. 95–119.Google Scholar
  2. 2.
    Hirakura, Y., Yamaguchi, Y., Shimizu, H., Nagai, S.: Dynamic linking among neural oscillators leads to flexible pattern recognition with figure-ground separation. Neural. Netw. 9 (1996) 189–209.CrossRefGoogle Scholar
  3. 3.
    Varela, F.J., Lachaux, J.P., Rodriguez, E., Martinerie, J.: The brainweb: Phase synchronization and large-scale integration. Nat. Rev. Neurosci. 2 (2001) 229–239.CrossRefPubMedGoogle Scholar
  4. 4.
    Ward, L.M.: Synchronous neural oscillations and cognitive processes. Trends. Cogn. Sci. 7 (2003) 553–559.CrossRefPubMedGoogle Scholar
  5. 5.
    Rodriguez, E., George, N., Lachaux, J.P., Martinerie, J., Renault, B., Varela, F.J.: Perception’s shadow: Long-distance synchronization of human brain activity. Nature 397 (1999) 430–433.CrossRefPubMedGoogle Scholar
  6. 6.
    Doesburg, S.M., Kitajo, K., Ward, L.M.: Increased gamma-band synchrony precedes switching of conscious perceptual objects in binocular rivalry. Neuroreport 16 (2005) 1139–1142.CrossRefPubMedGoogle Scholar
  7. 7.
    Kitajo, K., Doesburg, S.M., Yamanaka, K., Nozaki, D., Ward, L.M., Yamamoto, Y.: Noise-induced large-scale phase synchronization of human brain activity associated with behavioural stochastic resonance. Europhys. Lett. 80 (2007) 40009–1–6.CrossRefGoogle Scholar
  8. 8.
    Doesburg, S.M., Roggeveen, A.B., Kitajo, K., Ward, L.M.: Large-scale gamma-band phase synchronization and selective attention. Cereb. Cortex. 18 (2008) 386–396.CrossRefPubMedGoogle Scholar
  9. 9.
    Mizuhara, H., Yamaguchi, Y.: Human cortical circuits for central executive function emerge by theta phase synchronization. NeuroImage 36 (2007) 232–244.CrossRefPubMedGoogle Scholar
  10. 10.
    Massimini, M., Ferrarelli, F., Huber, R., Esser, S.K., Singh, H., Tononi, G.: Break down of cortical effective connectivity during sleep. Science 309 (2005) 2228–2232.CrossRefPubMedGoogle Scholar
  11. 11.
    Tass, P., Rosenblum, M.G., Weule, J., Kurths, J., Pikovsky, A., Volkmann, J., Schnitzler, A., Freund, H.-J.: Detection of n:m phase locking from noisy data: Application to magnetoencephalography. Phys. Rev. Lett. 81 (1998) 3291–32.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Keiichi Kitajo
    • 1
    Email author
  • Ryohei Miyota
    • 1
  • Masanori Shimono
    • 2
  • Kentaro Yamanaka
    • 1
    • 3
  • Yoko Yamaguchi
    • 1
    • 4
  1. 1.Laboratory for Dynamics of Emergent IntelligenceRIKEN Brain Science InstituteSaitamaJapan
  2. 2.Neuroscience Research Institute, Advanced Industrial Science and Technology (AIST)TsukubaJapan
  3. 3.Department of Health DesignShowa Women’s UniversityTokyoJapan
  4. 4.Rhythm-based Brain Computation Unit, RIKEN BSI-TOYOTA Collaboration CenterSaitamaJapan

Personalised recommendations