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Matematicheskaya Biologiya i Bioinformatika, 2013, Volume 8, Issue 2, Pages 679–690 (Mi mbb164)  
This article is cited in 5 scientific papers (total in 5 papers)

Intellectual Analisys of Data

The Method to Reveal Pathologic Activity of Human Brain in the Magnetic Encephalography Data

N. M. Pankratovaa, M. N. Ustininabc, R. R. Llinásb

a Institute of Mathematical Problems of Biology RAS, Pushchino, 142290, Russian Federation
b New York University, New York, NY, 10016, USA
c Pushchino State Institute of Natural Sciences, Pushchino, 142290, Russian Federation
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Abstract: The method is proposed to find moments of time for averaging without external triggers. The Karhunen–Loeve eigenfunctions are used as a features for signal recognition. The method makes it possible to extract the signal from the experimental data for evoked and spontaneous activity. Application of the method to tinnitus studies revealed gamma-band bursts of activity in several experiments.
Key words: magnetic encephalography, Karhunen-Loeve expansion, spectral analysis, evoked activity, tinnitus pathology.
Received 06.12.2013, Published 18.12.2013
Document Type: Article
UDC: 612.825.5+004.925
Language: Russian
Citation: N. M. Pankratova, M. N. Ustinin, R. R. Llinás, “The Method to Reveal Pathologic Activity of Human Brain in the Magnetic Encephalography Data”, Mat. Biolog. Bioinform., 8:2 (2013), 679–690
Citation in format AMSBIB
\Bibitem{PanUstLli13}
\by N.~M.~Pankratova, M.~N.~Ustinin, R.~R.~Llin\'as
\paper The Method to Reveal Pathologic Activity of Human Brain in the Magnetic Encephalography Data
\jour Mat. Biolog. Bioinform.
\yr 2013
\vol 8
\issue 2
\pages 679--690
\mathnet{http://mi.mathnet.ru/mbb164}
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  • https://www.mathnet.ru/eng/mbb/v8/i2/p679
    • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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    References:47
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