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Matematicheskaya Biologiya i Bioinformatika, 2016, Volume 11, Issue 1, Pages 127–140
DOI: https://doi.org/10.17537/2016.11.127 (Mi mbb255) 		 
This article is cited in 14 scientific papers (total in 14 papers)

Intellectual Analisys of Data

Software for the partial spectroscopy of human brain

S. D. Rykunova, M. N. Ustininabc, A. G. Polyaninc, V. V. Sytcheva, R. R. Llinásb

a Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics RAS, Moscow Region, Russia
b New York University, New York, NY, USA
c Pushchino State Natural Sciences Institute, Pushchino, Moscow Region, Russia
Full-text PDF (1393 kB) Citations (14)
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DOI: https://doi.org/10.17537/2016.11.127
Abstract: The new methodology was developed to calculate spectral characteristics of various compartments of the human brain. This technology combines two types of the spatial data: 1) functional tomogram presenting spatial distribution of the electric sources and 2) anatomical structure of the brain as determined by the magnetic resonance imaging. Presently the functional tomogram is calculated from the multichannel magnetoencephalograms. In the functional tomogram, unique spatial location corresponds to each elementary oscillation. Spatial structure of the brain compartment is generated by the segmentation of magnetic resonance image. The partial spectrum is composed by the selection of frequencies, belonging to this compartment. The software implementing this methodology was developed and applied to partial spectral analysis of the alpha rhythm.
Key words: magnetic encephalography, Fourier transform, frequency-pattern data analysis, functional tomogram, magnetic resonance imaging, partial spectrum.
Funding agency Grant number
Russian Foundation for Basic Research 16-07-00937_а
16-07-01000_а
14-07-00636_а
Russian Academy of Sciences - Federal Agency for Scientific Organizations I.33П
U.S. Civilian Research and Development Foundation RB1-2027
RUB-7095-MO-13
Received 03.05.2016, Published 10.06.2016
Document Type: Article
UDC: 612.825.5+004.925
Language: Russian
Citation: S. D. Rykunov, M. N. Ustinin, A. G. Polyanin, V. V. Sytchev, R. R. Llinás, “Software for the partial spectroscopy of human brain”, Mat. Biolog. Bioinform., 11:1 (2016), 127–140
Citation in format AMSBIB
\Bibitem{RykUstPol16}
\by S.~D.~Rykunov, M.~N.~Ustinin, A.~G.~Polyanin, V.~V.~Sytchev, R.~R.~Llin\'as
\paper Software for the partial spectroscopy of human brain
\jour Mat. Biolog. Bioinform.
\yr 2016
\vol 11
\issue 1
\pages 127--140
\mathnet{http://mi.mathnet.ru/mbb255}
\crossref{https://doi.org/10.17537/2016.11.127}
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    • This publication is cited in the following 14 articles:
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