Dynamic effects and information quantifiers of statistical memory of MEG's signals at photosensitive epilepsy

  • R. M. Yulmetyev*
  • , E. V. Khusaenova
  • , D. G. Yulmetyeva
  • , P. Hänggi
  • , S. Shimojo
  • , K. Watanabe
  • , J. Bhattacharya
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

3 Citations (Scopus)

Abstract

The time series analysis of magnetoencephalographic (MEG) signalsis very important both for basic brain research and for medicaldiagnosis and treatment. Here we discuss the crucial role ofstatistical memory effects (ME) in human brain functioning withphotosensitive epilepsy (PSE). We study two independentstatistical memory quantifiers that reflect the dynamicalcharacteristics of neuromagnetic brain responses on a flickeringstimulus of different colored combinations from a group of controlsubjects, which are contrasted with those from a patient with PSE.We analyze the frequency dependence of two memory measures forthe neuromagnetic signals. The strong memory and the accompanyingtransition to a regular and robust regime of the signals' chaoticbehavior in the separate areas are characteristic for a patientwith PSE. This particularly interesting observation most likelyidentifies the regions of the protective mechanism in a humanorganism against occurrence of PSE.

Original languageEnglish
Pages (from-to)189-206
Number of pages18
JournalMathematical Biosciences and Engineering
Volume6
Issue number1
DOIs
Publication statusPublished - Jan 2009

User-Defined Keywords

  • Human brain
  • Information quantifiers
  • Statistical memory
  • Photosensitive epilepsy
  • Stochastic processes

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