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.
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
\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}
Linking options:
https://www.mathnet.ru/eng/mbb255
https://www.mathnet.ru/eng/mbb/v11/i1/p127
This publication is cited in the following 14 articles:
S. D. Rykunov, A. I. Boyko, M. N. Ustinin, “Reconstruction of the Electrical Structure of the Human Body Using Spectral Functional Tomography”, Pattern Recognit. Image Anal., 33:4 (2023), 1315
M. N. Ustinin, A. I. Boyko, S. D. Rykunov, “Functional Tomography of Complex Systems Using Spectral Analysis of Multichannel Measurement Data”, Pattern Recognit. Image Anal., 33:4 (2023), 1344
Rodolfo R. Llinás, Stanislav Rykunov, Kerry D. Walton, Anna Boyko, Mikhail Ustinin, “Splitting of the magnetic encephalogram into «brain» and «non-brain» physiological signals based on the joint analysis of frequency-pattern functional tomograms and magnetic resonance images”, Front. Neural Circuits, 16 (2022)
M. N. Ustinin, S. D. Rykunov, A. I. Boiko, O. A. Maslova, N. M. Pankratova, “Izuchenie sindroma defitsita vnimaniya i giperaktivnosti metodom funktsionalnoi tomografii po dannym magnitnoi entsefalografii”, Preprinty IPM im. M. V. Keldysha, 2019, 116, 24 pp.
S. D. Rykunov, E. D. Rykunova, A. I. Boiko, M. N. Ustinin, “Programmnyi kompleks “VirtEl” dlya analiza dannykh magnitnoi entsefalografii metodom virtualnykh elektrodov”, Matem. biologiya i bioinform., 14:1 (2019), 340–354
M. N. Ustinin, S. D. Rykunov, A. I. Boiko, O. A. Maslova, N. M. Pankratova, “Izuchenie sindroma defitsita vnimaniya i giperaktivnosti metodom funktsionalnoi tomografii po dannym magnitnoi entsefalografii”, Matem. biologiya i bioinform., 14:2 (2019), 517–532
N. M. Pankratova, S. D. Rykunov, M. N. Ustinin, “Lokalizatsiya spektralnykh osobennostei entsefalogramm pri psikhicheskikh rasstroistvakh”, Preprinty IPM im. M. V. Keldysha, 2018, 138, 20 pp.
A. V. Korshakov, “Sistemy interfeisov mozg–kompyuter na osnove spektroskopii blizhnego infrakrasnogo diapazona”, Matem. biologiya i bioinform., 13:1 (2018), 84–129
N. M. Pankratova, S. D. Rykunov, A. I. Boiko, D. A. Molchanova, M. N. Ustinin, “Lokalizatsiya spektralnykh osobennostei entsefalogramm pri psikhicheskikh rasstroistvakh”, Matem. biologiya i bioinform., 13:2 (2018), 322–336
M. N. Ustinin, S. D. Rykunov, A. I. Boiko, O. A. Maslova, K. D. Volton, R. R. Linas, “Otsenka napravlenii elementarnykh istochnikov alfa-ritma metodom funktsionalnoi tomografii mozga cheloveka po dannym magnitnoi entsefalografii”, Matem. biologiya i bioinform., 13:2 (2018), 426–436
N.M. Pankratova, S.D. Rykunov, M.N. Ustinin, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 7, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 2018
M.N. Ustinin, S.D. Rykunov, N.M. Pankratova, A.I. Boyko, D.A. Molchanova, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 7, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 2018
E.D. Rykunova, S.D. Rykunov, A.I. Boyko, M.N. Ustinin, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 7, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 2018
S. D. Rykunov, E. S. Oplachko, M. N. Ustinin, R. R. Llinás, “Metody analiza dannykh magnitnoi entsefalografii v oblachnom servise MathBrain”, Matem. biologiya i bioinform., 12:1 (2017), 176–185
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