Methods Inf Med 2001; 40(02): 106-111
DOI: 10.1055/s-0038-1634470
Original Article
Schattauer GmbH

EEG Frequency and Phase Coupling during Human Information Processing

B. Schack
1   Institute of Medical Statistics, Computer Science and Documentation, University of Jena, Germany
,
P. Rappelsberger
2   Brain Research Institute (Neurophysiology), University of Vienna, Austria, Germany
,
N. Vath
3   Institute of Psychology, University of Göttingen, Germany
,
S. Weiss
2   Brain Research Institute (Neurophysiology), University of Vienna, Austria, Germany
,
E. Möller
1   Institute of Medical Statistics, Computer Science and Documentation, University of Jena, Germany
,
G. Grießbach
4   Department of Biomedical Engineering, Technical University of Ilmenau, Germany
,
H. Witte
1   Institute of Medical Statistics, Computer Science and Documentation, University of Jena, Germany
› Author Affiliations
Further Information

Publication History

Publication Date:
07 February 2018 (online)

Abstract

Neuronal activity during information processing is represented by oscillations within local or widespread neuronal networks. These oscillations may be recorded by the EEG (electroencephalogram). The oscillatory interaction between neuronal ensembles may be at one single frequency or at different frequencies due to non-linear coupling. The investigation of momentary coherence and phase enables the examination of synchronized oscillatory network activity during fast-changing cognitive processes. On this basis information transfer from occipital areas towards frontal areas could be described during processing of visual presented words. Non-linear phase coupling between oscillations with different frequencies during memory processing was detected by means of cross-bicoherence.

 
  • References

  • 1 Nunez PL, Srinivasan R, Wijesinghe RS, Westdorp AF, Tucker DM, Silberstein RB, and Cadusch PJ. EEG Coherency I: Statistics, Reference Electrode, Volume Conduction, Laplacians, Cortical Imaging, and Interpretation at Multiple Scales. Electro-enceph Clin Neurophysiol 1997; 103: 499-515.
  • 2 Petsche H, Etlinger SC. EEG and Thinking. Wien: Verlag der Österreichischen Akademie der Wissenschaften; 1998
  • 3 Schack B, Rappelberger P, Weiss S, Moeller E. Adaptive phase estimation and its application in EEG analysis of word processing. J Neurosci Meth 1999; 93: 49-59.
  • 4 Nikias LCh, Petropulu AP. Higher-order Spectra Analysis. Englewood Cliffs. New Jersey: PTR Prentice Hall; 1993
  • 5 Brockwell PJ, Davis RA. Time Series: Theory and Methods. New York: Springer; 1991
  • 6 Schack B. Dynamic Topographic Spectral Analysis of Cognitive Processes. In: Uhl Ch. ed. Analysis of Neurophysiological Brain Functioning. Berlin: Springer; 1999: 230-51.
  • 7 Hannan EJ, Kavalieris L. Multivariate Linear Time Series Models. Biometrika 1984; 69: 81-94.
  • 8 Shils JL, Litt M, Skolnick BE, Stecker MM. Bispectral analysis of visual interactions in humans. Electroenceph Clin Neurophysiol 1996; 98: 113-25.
  • 9 Weiss S, Rappelsberger P. Left Frontal EEG Coherence Reflects Modality Independent Language Processes. Brain Topography 1998; 11: 33-42.
  • 10 Nakamura K, Mikami A, Kubota K. Oscillatory neuronal activity related to visual short-term memory in monkey temporal pole. NeuroReport 1992; 3: 117-20.
  • 11 Sarnthein J, Petsche H, Rappelsberger P, Shaw GL, von Stein A. Synchronisation between prefrontal and posterior association cortex during human working memory. Proc Natl Acad Sci USA 1998; 95: 7092-6.
  • 12 Jensen O, Lisman JE. An oscillatory short-term-memory buffer model can account for data on the Sternberg task. J Neurosci 1998; 18: 10688-99.