RUS  ENG
Full version
JOURNALS // Matematicheskaya Biologiya i Bioinformatika // Archive

Mat. Biolog. Bioinform., 2019 Volume 14, Issue 1, Pages 340–354 (Mi mbb388)

This article is cited in 3 papers

Intellectual Analisys of Data

VirtEl – software for magnetic encephalography data analysis by the method of virtual electrodes

S. D. Rykunova, E. D. Rykunovaab, A. I. Boykoa, M. N. Ustinina

a Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Moscow, Russian Federation
b Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Dolgoprudny, Russian Federation

Abstract: A new method of analyzing magnetic encephalography data, the virtual electrode method, was developed. According to magnetic encephalography data, a functional tomogram is constructed – the spatial distribution of field sources on a discrete grid. A functional tomogram displays on the head space the information contained in the multichannel time series of an encephalogram. This is achieved by solving the inverse problem for all elementary oscillations extracted using the Fourier transform. Each oscillation frequency corresponds to a three-dimensional grid node in which the source is located. The user sets the location, size and shape of the brain area for a detailed study of the frequency structure of a functional tomogram – a virtual electrode. The set of oscillations that fall into a given region represents the partial spectrum of this region. The time series of the encephalogram measured by the virtual electrode is restored using this spectrum. The method was applied to the analysis of magnetic encephalography data in two variations – a virtual electrode of a large radius and a point virtual electrode.

Key words: magnetic encephalography, Fourier transform, functional tomogram, magnetic-resonance image, virtual electrode.

UDC: 612.825.5+004.925

Received 22.05.2019, Published 25.06.2019

DOI: 10.17537/2019.14.340



© Steklov Math. Inst. of RAS, 2024