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Volume 11   Issue 1   Year 2016
Software for the Partial Spectroscopy of Human Brain

Rykunov S.D., Ustinin M.N., Polyanin A.G., Sychev V.V., Llinás R.R.

Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics RAS, Moscow Region, Russia
New York University, New York, NY, USA
Pushchino State Natural Sciences Institute, Pushchino, Moscow Region, Russia

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.
Table of Contents Original Article
Math. Biol. Bioinf.
doi: 10.17537/2016.11.127
published in Russian

Abstract (rus.)
Abstract (eng.)
Full text (rus., pdf)


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