Skip to main content

Modeling the effects of extracortical sources on the EEG-signal

  • Conference paper
World Congress on Medical Physics and Biomedical Engineering 2006

Part of the book series: IFMBE Proceedings ((IFMBE,volume 14))

  • 86 Accesses

Abstract

Extracortical activity play important role in generation of EEG-signal. Neuronal system in the brain seems to be specially sensitive to sources belonging to the class of functions: [Acos(αt)+Bsin(αt), exp(±αt), Bessel functions]. This representation could be reflect influence of external sources, for example electromagnetic fields, on the brain. In my previous papers I demonstrated the effect of electromagnetic field on the EEG-signal using nonlinear dynamics method - Higuchi’s fractal dimension.

The extracortical input from inhibitory neurons destroys the oscillatory structure of signal generated by extracortical input from excitatory neurons but do not suppresses it completely. The additional component is needed. The long-distance input from excitatory neurons take this role.

The most important parameter in the model is postsynaptic neurotransmitter rate constants. It shows a biphasic effect changes for inhibitory postsynaptic potentials (IPSP) in the EEG-signals during anesthesia. The similar behavior is visible for postsynaptic rate constants but in case of excitatory postsynaptic potential (EPSP) in epileptic EEG-signals. There are two opposed processes occur.

The average excitatory soma potential (he) depend on total number of excitatory and inhibitory intracortical connections. The increase of maximum value of the he occurs for bigger number of excitatory connections. The shape of the curve depend on number of inhibitory connections.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 429.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 549.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Steyn-Ross ML, Steyn-Ross DA, Sleigh JW, Liley DTJ (1999) Theoretical electroencephalogram stationary spectrum for a white-noise-driven cortex: Evidence for a general anesthetic-induced phase transition. Phys. Rev. E 60: 7299–7311.

    Article  Google Scholar 

  2. Wendling F, Bellanger JJ, Bartolomei F, Chauvel P (2000) Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals. Biol. Cybern. 83: 367–378.

    Article  Google Scholar 

  3. Liley DTJ, Cadusch PJ, Dafilis MP (2002) A spatially continuous mean field theory of electrocortical activity. Computation in Neural Systems 13: 67–113.

    Article  MATH  Google Scholar 

  4. Bojak I, Liley DTJ (2005) Modeling the effects of anesthesia on the electroencephalogram. Physical Review E 71: 04190.

    Article  Google Scholar 

  5. Chillemi S, Barbi M, Di Garbo A, Klonowski W, Olejarczyk E, Stepien R (2000) Predictability and Complexity in Human EEG under Magnetic Field, World Scientific Engineering Society, Mathematics and Computers in Biology and Chemistry (WSEAS AMTA-MCBC-MCBE 2000), Montego Bay, Jamaica, December 20–22, 2000.

    Google Scholar 

  6. Klonowski W, Olejarczyk E, Stepien R (2000) Nonlinear Dynamics of EEG-signal Reveals Influence of Magnetic Field on the Brain, Proceedings of Chicago 2000 World Congress on Medical Physics and Biomed. Engineering, 2000, FR-A325-2, on CD only, (abstracts∖4048-52180, short_papers∖4038-52296).

    Google Scholar 

  7. Lipping T, Olejarczyk E, Parts M (2003) Fractal Dimension Analysis of the Effects of Photic and Microwave Stimulation on the Brain Function, World Congress’2003, Sydney, 24–31 August 2003.

    Google Scholar 

  8. Koivuluoma M, Huupponen E, Olejarczyk E, Varri A, Klonowski W (2001) Comparison of Some Linear and Non-linear Methods in the Quantification of NREM Sleep Process Proceedings of 2001 International Symposium on Nonlinear Theory and its Application (NOLTA’2001), Miyagi, Japan, October 2001, pp. 411–414.

    Google Scholar 

  9. Klonowski W, Olejarczyk E, Stepien R, Szelenberger W (2003) New methods of nonlinear and symbolic dynamics in sleep EEG-signal analysis. Modelling and Control in Biomedical Systems 2003, Proceedings of the 5th IFAC Symposium, Melbourne, Australia, 21–23 August 2003, Pergamon, Elsevier.

    Google Scholar 

  10. Olejarczyk E (2003) Analysis of EEG signals using fractal dimension. PhD Thesis, Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, 2003.

    Google Scholar 

  11. Klonowski W, Olejarczyk E, Stepien R (2004) ‘Epileptic seizures’ in economic organism, Physica A 342(3–4): 701–707.

    Article  Google Scholar 

  12. Rudner R, Jalowiecki P, Willand M, Klonowski W, Olejarczyk E, Stepien R, Hagihira S: Fractal dimension (2005) A new EEG-based method of assessing depth of anaesthesia in comparison with BIS during induction and recovery from anaesthesia., Euroanaesthesia 2005, 13th Annual Meeting of European Society of Anaesthesiologists and 27th Annual Meeting of the European Academy of Anaesthesiology, 28–31 May 2005, Vienne.

    Google Scholar 

  13. Klonowski W, Olejarczyk E, Stepien R, Jalowiecki P, Rudner R (2006) Monitoring the Depth of Anaesthesia Using Fractal Complexity Method, in: Complexus Mundi. Emergent Patterns in Nature, M.N. Novak, Ed. World Scientific, 2006, pp. 333–342.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elżbieta Olejarczyk .

Editor information

R. Magjarevic J. H. Nagel

Rights and permissions

Reprints and permissions

Copyright information

© 2007 International Federation for Medical and Biological Engineering

About this paper

Cite this paper

Olejarczyk, E. (2007). Modeling the effects of extracortical sources on the EEG-signal. In: Magjarevic, R., Nagel, J.H. (eds) World Congress on Medical Physics and Biomedical Engineering 2006. IFMBE Proceedings, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36841-0_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-36841-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36839-7

  • Online ISBN: 978-3-540-36841-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics