Advertisement

Brain Topography

, Volume 17, Issue 2, pp 117–123 | Cite as

Non Linear Analysis of Magnetoencephalographic Signals as a Tool for Assessing Malignant Lesions of the Brain: First Results

  • Panagiotis E. Antoniou
  • Photios A. Anninos
  • Haritomeni Piperidou
  • Adam Adamopoulos
  • Athanasia Kotini
  • Michael I. Koukourakis
  • Efthimios Sivridis
Article

Summary

Background and purpose: Non linear signal analysis is a powerful technique that reveals qualitative and quantitative differentiations between different dynamical systems (biological or otherwise). Presented here are the first results of a work in progress to investigate the Magnetoencephalograms (MEG) from patients with malignant CNS lesions and from healthy volunteers. Methods: We present MEG recordings of 10 patients diagnosed with malignant CNS lesions and the corresponding ones from 10 healthy volunteers. A 122-channel SQUID biomagnetometer in an electromagnetically shielded room was used to record the MEG signals and the Grassberger-Procaccia method for the estimation of the correlation dimension was applied on the phase space reconstruction of the recorded signal from each patient. Results: Evidence linking MEG signal characteristics (existence of low dimensionality chaotic dynamics) with the existence of the tumour was found from this analysis. Conclusion: The obtained results substantiate our hypothesis of a relation between tumours of the brain and the mathematically chaotic nature of the neural dynamics derived from their MEG recordings.

Keywords

Biomagnetic activity Non‐linear analysis MEG Magnetoencephalogram Magnetoencephalography 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media, Inc. 2004

Authors and Affiliations

  • Panagiotis E. Antoniou
    • 1
  • Photios A. Anninos
    • 2
  • Haritomeni Piperidou
    • 3
  • Adam Adamopoulos
    • 1
  • Athanasia Kotini
    • 1
  • Michael I. Koukourakis
    • 4
  • Efthimios Sivridis
    • 5
  1. 1.Lab of Medical Physics, Medical School, Democritus University of Thrace, Alexandroupolis, GreeceAlexandroupolisGreece
  2. 2.Lab of Medical Physics,Medical School, Democritus University of Thrace, Alexandroupolis, GreeceAlexandroupolisGreece
  3. 3.Department. of Neurology, Medical School, Democritus University of Thrace, Alexandroupolis, GreeceAlexandroupolisGreece
  4. 4.Department of Radiotherapy, Medical School, Democritus University of Thrace, Alexandroupolis, GreeceAlexandroupolisGreece
  5. 5.Department of Pathological Anatomy, Medical School, Democritus University of Thrace, Alexandroupolis, GreeceAlexandroupolisGreece

Personalised recommendations