Voir la notice de l'article provenant de la source Math-Net.Ru
@article{MBB_2013_8_2_a13, author = {M. N. Ustinin and V. V. Sychev and R. R. Llin\'as}, title = {Integrated {Software} {MEGMRIAn} for the {Analysis} and {Modeling} of the {Magnetic} {Encephalography} {Data}}, journal = {Matemati\v{c}eska\^a biologi\^a i bioinformatika}, pages = {691--707}, publisher = {mathdoc}, volume = {8}, number = {2}, year = {2013}, language = {ru}, url = {http://geodesic.mathdoc.fr/item/MBB_2013_8_2_a13/} }
TY - JOUR AU - M. N. Ustinin AU - V. V. Sychev AU - R. R. Llinás TI - Integrated Software MEGMRIAn for the Analysis and Modeling of the Magnetic Encephalography Data JO - Matematičeskaâ biologiâ i bioinformatika PY - 2013 SP - 691 EP - 707 VL - 8 IS - 2 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/MBB_2013_8_2_a13/ LA - ru ID - MBB_2013_8_2_a13 ER -
%0 Journal Article %A M. N. Ustinin %A V. V. Sychev %A R. R. Llinás %T Integrated Software MEGMRIAn for the Analysis and Modeling of the Magnetic Encephalography Data %J Matematičeskaâ biologiâ i bioinformatika %D 2013 %P 691-707 %V 8 %N 2 %I mathdoc %U http://geodesic.mathdoc.fr/item/MBB_2013_8_2_a13/ %G ru %F MBB_2013_8_2_a13
M. N. Ustinin; V. V. Sychev; R. R. Llinás. Integrated Software MEGMRIAn for the Analysis and Modeling of the Magnetic Encephalography Data. Matematičeskaâ biologiâ i bioinformatika, Tome 8 (2013) no. 2, pp. 691-707. http://geodesic.mathdoc.fr/item/MBB_2013_8_2_a13/
[1] Hämäläinen M., Hari R., Ilmoniemi R. J., Knuutila J., Lounasmaa O. V., “Magnetoencephalography — theory, instrumentation, and application to noninvasive studies of the working human brain”, Rev. Mod. Phys., 65 (1993), 413–497 | DOI
[2] Mosher J. C., Lewis P. S., Leahy R. M., “Multiple dipole modeling and localization from spatio-temporal MEG data”, IEEE Transactions on Biomedical Engineering, 39:5 (1992), 541–557 | DOI
[3] Baillet S., Friston K., Oostenveld R., “Academic software applications for electromagnetic brain mapping using MEG and EEG”, Computational intelligence and neuroscience, 2011 (2011), 972050, 4 pp. (data obrascheniya: 21.12.2013) | DOI
[4] Oostenveld R., Fries P., Maris E., Schoffelen J.-M., “FieldTrip: open source software for advanced analysis of MEG, EEG and invasive electrophysiological data”, Computational intelligence and neuroscience, 2011 (2011), 156869, 9 pages pp. (data obrascheniya: 21.12.2013) | DOI
[5] Tadel F., Baillet S., Mosher J. C., Pantazis D., Leahy R. M., “Brainstorm: a user-friendly application for MEG/EEG analysis”, Computational intelligence and neuroscience, 2011 (2011), 879716, 13 pp. (data obrascheniya: 21.12.2013) | DOI
[6] Aguera P.-E., Jerbi K., Caclin A., Bertrand O., “ELAN: A software package for analysis and visualization of MEG, EEG, and LFP signals”, Computational intelligence and neuroscience, 2011 (2011), 158970, 11 pp. (data obrascheniya: 21.12.2013) | DOI
[7] Campi C., Pascarella A., Sorrentino A., Piana M., “Highly automated dipole estimation (HADES)”, Computational intelligence and neuroscience, 2011 (2011), 982185, 11 pp. (data obrascheniya: 21.12.2013) | DOI
[8] Gramfort A., Papadopoulo T., Olivi E., Clerc M., “Forward field computation with open MEEG”, Computational intelligence and neuroscience, 2011 (2011), 923703, 13 pp. (data obrascheniya: 21.12.2013) | DOI
[9] Sudre G., Parkkonen L., Bock E., Baillet S., Wang W., Weber D. G., “rtMEG: a real-time software interface for magnetoencephalography”, Computational intelligence and neuroscience, 2011 (2011), 327953, 7 pp. (data obrascheniya: 21.12.2013) | DOI
[10] Peyk P., Cesarei A. D., Junghöfer M., “ElectroMagnetoEncephalography software: overview and integration with other EEG/MEG toolboxes”, Computational intelligence and neuroscience, 2011 (2011), 861705, 10 pp. (data obrascheniya: 21.12.2013) | DOI
[11] Dalal S. S., Zumer J. M., Guggisberg A. G., Trumpis M., Wong D. D. E., Sekihara K., Nagarajan S. S., “MEG/EEG source reconstruction, statistical evaluation, and visualization with NUTMEG”, Computational intelligence and neuroscience, 2011 (2011), 758973, 17 pp. (data obrascheniya: 21.12.2013) | DOI
[12] Llinas R., Ribary U., Jeanmonod D., Kronberg E., Mitra P., “Thalamocortical dysrhythmia: A neurological and neuropsychiatric syndrome characterized by magnetoencephalography”, PNAS, 96:26 (1999), 15222–15227 | DOI
[13] Ustinin M. N., Kronberg E., Filippov S. V., Sychev V. V., Sobolev E. V., Llinás R., “Kinematic visualization of human magnetic encephalography”, Mathematical Biology and Bioinformatics, 5:2 (2010), 176–187 (data obrascheniya: 21.12.2013) http://www.matbio.org/downloads_en/Ustinin2010(5_176).pdf
[14] Schulman J. J., Cancro R., Lowe S., Lu F., Walton K. D., Llinas R. R., “Imaging of thalamocortical dysrhythmia in neuropsychiatry”, Front. Hum. Neurosci., 5 (2011), 69 | DOI
[15] Dedus A. F., Dedus F. F., Makhortykh S. A., Ustinin M. N., “Analytical description of multidimensional signals for solving problems of pattern recognition and image analysis”, Pattern Recognition and Image Analysis, 3:4 (1993), 459–469
[16] Dedus F. F., Makhortykh S. A., Ustinin M. N., “A generalized spectral analytical method of data processing for signal processing and image analysis problems”, Pattern Recognition and Image Analysis, 6:1 (1996), 84–85
[17] Dedus F. F., Dedus A. F., Makhortykh S. A., Ustinin M. N., “Application of the generalized spectral-analytic method in information problems”, Pattern Recognition and Image Analysis, 12:4 (2002), 429–437
[18] Llinás R. R., Ustinin M. N., Precise frequency-pattern analysis to decompose complex systems into functionally invariant entities, U.S. Patent pending, 2012
[19] Ustinin M. N., Makhortykh S. A., Molchanov A. M., Olshevets M. M., Pankratov A. N., Pankratova N. M., Sukharev V. I., Sychev V. V., “Zadachi analiza dannykh magnitnoi entsefalografii”, Kompyutery i superkompyutery v biologii, eds. Lakhno V. D., Ustinin M. N., Institut kompyuternykh issledovanii, M.–Izhevsk, 2002, 327–348
[20] Sarvas J., “Basic mathematic and electromagnetic concepts of the biomagnetic inverse problem”, Phys. Med. Biol., 32 (1987), 11–22 | DOI
[21] Lagarias J. C., Reeds J. A., Wright M. H., Wright P. E., “Convergence properties of the Nelder-Mead simplex method in low dimensions”, SIAM Journal of Optimization, 9 (1998), 112–147 | DOI | MR | Zbl
[22] Ustinin M. N., Polikarpov M. A., Pankratov A. N., Rykunov S. D., Naurzakov S. P., Grebenkin A. P., Panchenko V. Ya., “Sravnitelnyi analiz eksperimentalnykh dannykh magnitnoi entsefalografii”, Matematicheskaya biologiya i bioinformatika, 6:1 (2011), 63–70 (data obrascheniya: 21.12.2013) http://www.matbio.org/2011/Ustinin2011(6_63).pdf | MR
[23] Pankratova N. M., Ustinin M. N., Molchanov A. M., Linas R., “Matematicheskaya interpretatsiya pereklyuchenii mezhdu rezhimami v signalakh elektricheskoi aktivnosti golovnogo mozga”, Biofizika, 54:5 (2009), 916–920 | MR
[24] Pankratova N. M., Ustinin M. N., Linas R. R., “Obnaruzhenie patologicheskoi aktivnosti golovnogo mozga po dannym magnitnoi entsefalografii”, Matematicheskaya biologiya i bioinformatika, 8:2 (2013), 679–690 (data obrascheniya: 21.12.2013) http://www.matbio.org/2013/Pankratova_8_679.pdf
[25] Lakhno V. D., Isaev E. A., Pugachev V. D., Zaitsev A. Yu., Fialko N. S., Rykunov S. D., Ustinin M. N., “Razvitie informatsionno-kommunikatsionnykh tekhnologii v Puschinskom nauchnom tsentre RAN”, Matematicheskaya biologiya i bioinformatika, 7:2 (2012), 529–544 (data obrascheniya: 21.12.2013) http://www.matbio.org/2012/Lakhno_7_529.pdf | MR
[26] Lakhno V., Nazipova N., Kim V., Filippov S., Fialko N., Ustinin D., Teplukhin A., Tyulbasheva G., Zaitsev A., Ustinin M., “Informatsionno-vychislitelnaya sreda Mathcell dlya modelirovaniya zhivoi kletki”, Matematicheskaya biologiya i bioinformatika, 2 (2007), 361–376 (data obrascheniya: 21.12.2013) http://www.matbio.org/downloads/Lakhno2007(2_361).pdf
[27] Oplachko E. S., Ustinin D. M., Ustinin M. N., “Oblachnye tekhnologii i ikh primenenie v zadachakh vychislitelnoi biologii”, Matematicheskaya biologiya i bioinformatika, 8:2 (2013), 449–466 (data obrascheniya: 21.12.2013) http://www.matbio.org/2013/Oplachko_8_449.pdf