For citation:
Navrotskaya E. V., Karavaev A. S., Sinkin M. V., Borovkova E. I., Bezruchko B. P. Adaptation of the method of coupling analysis based on phase dynamics modeling to EEG signals during an epileptic seizure in comatose patients. Izvestiya of Saratov University. Physics , 2022, vol. 22, iss. 1, pp. 4-14. DOI: 10.18500/1817-3020-2022-22-1-4-14, EDN: FBZGDC
Adaptation of the method of coupling analysis based on phase dynamics modeling to EEG signals during an epileptic seizure in comatose patients
Background and Objectives: the coupling of EEG signals during an epileptic seizure in patients during coma is being studied. Materials and Methods: the analysis of the applicability of the method of detecting the interaction between oscillatory systems based on the phase dynamics modeling to EEG signals during an epilepsy seizure in comatose patients is carried out. Results: a method of preliminary filtering of EEG signals has been proposed and the values of the method parameters have been selected, which allow obtaining reliable estimates of directional coupling at a significance level of 0.05. As an example, the analysis of the couplings between EEG signals of two patients with the mentioned pathologies was carried out using the method of the coupling estimation developed in this work.
- Bezruchko B. P., Ponomarenko V. I., Prokhorov M. D., Smirnov D. A., Tass P. A. Modeling nonlinear oscillatory systems and diagnostics of coupling between them using chaotic time series analysis : Applications in neurophysiology. Phys. Usp., 2008, vol. 51, pp. 304–310. https://www.doi.org/10.1070/PU2008v051n03ABEH00649
- Lehnertz K., Bialonski S., Horstmann M., Krug D., Rothkegel A., Staniek M., Wagner T. Synchronization phenomena in human epileptic brain networks. Journal of Neuroscience Methods, 2009, vol. 183, pp. 42–48. https://www.doi.org/10.1016/j.jneumeth.2009.05.015
- Nini A., Feingold A., Slovin H., Bergman H. Neurons in the globus pallidus do not show correlated activity in the normal monkey, but phase-locked oscillations appear in the MPTP model of parkinsonism. J. Neurophysiol., 1995, vol. 74, pp. 1800–1805. https://www.doi.org/0.1152/jn.1995.74.4.1800
- Sysoeva M. V., Sysoev I. V. Mathematical modeling of encephalogram dynamics during epileptic seizure. Technical Physics Letters, 2012, vol. 38, no. 2, pp. 151–154. https://www.doi.org/10.1134/S1063785012020137
- Sysoeva M. V., Luttjohann A., Luijtelaar G. van, Sysoev I. V. Dynamics of directional coupling underlying spike-wave discharges. Neuroscience, 2016, vol. 314, pp. 75–89. https://www.doi.org/10.1016/j.neuroscience.2015.11.044
- Sysoeva M. V., Kuznetsova G. D., Sysoev I. V. The modeling of rat EEG signals in absence epilepsy in the analysis of brain connectivity. Biophysics, 2016, vol. 61, no. 4, pp. 661–669. https://www.doi.org/10.1134/S0006350916040230
- Grishchenko A. A., van Rijn C. M., Sysoev I. V. Comparative analysis of methods for estimation of undirected coupling from time series of intracranial EEGs of cortex of rats-genetic models of absence epilepsy. Matematicheskaya biologiya i bioinformatika [Mathematical Biology and Bioinformatics], 2017, vol. 12, no. 2, pp. 317–326. https://www.doi.org/10.17537/2017.12.317
- Basti A., Pizzella V., Chella F., Marzetti L. Disclosing brain functional connectivity from electrophysiological signals with phase slope based metrics. Journal of the Serbian Society for Computational Mechanics, 2017, vol. 11, pp. 50–62. https://www.doi.org/10.24874/jsscm. 2017.11.02.05
- Navrotskaya E. V., Alipov V. V., Ishbulatov Yu. M., Bezruchko B. P., Zeulina E. E., Kuligin A. V., Sadchikov D. V. Estimating the influence of spinal block and ataractanalgesia on the coupling between the rhythms of autonomic control of heart rate and vascular tone during gynecological operation. Russian Open Medical Journal, 2019, vol. 8, no. 3, article number e0305. https://www.doi.org/10.15275/rusomj.2019.0305
- Hinrichs H., Noesselt T., Heinze H.-J. Directed information flow – a model free measure to analyze causal interactions in event related EEG-MEG-experiments. Human Brain Mapping, 2008, vol. 29, pp. 193–206. https://www.doi.org/10.1002/hbm.20382
- Quian Quiroga R., Kraskov A., Kreuz T., Grassberger P. On the performance of different synchronization measures in real data : A case study on electroencephalographic signals. Physical Review E, 2000, vol. 65, article number 041903. https://www.doi.org/10.1103/PhysRevE.65.041903
- Kreuz T., Andrzejak R., Mormann F., Kraskov A., Stögbauer Harald, Elger C., Lehnertz K., Grassberger P. Measure profile surrogates : A method to validate the performance of epileptic seizure prediction algorithms. Physical Review E, 2004, vol. 69, article number 061915. https://www.doi.org/10.1103/PHYSREV~E.69.061915
- Mormann F., Kreuz T., Rieke C., Andrzejak R., Kraskov A., David P., Elger C., Lehnertz K. On the predictability of epileptic seizures. Clinical Neurophysiology, 2005, vol. 116, pp. 569–587. https://www.doi.org/10.1016/j.clinph.2004.08.025
- Brea J., Russell D. F., Neiman A. B. Measuring direction in the coupling of biological oscillators : A case study for electroreceptors of paddlefish. Chaos, 2006, vol. 16, article number 026111. https://www.doi.org/10.1063/1.2201466
- Baccala L., Sameshima K., Ballester G., Valle A., TimoIaria C. Studying the Interaction Between Brain Structures via Directed Coherence and Granger Causality. Applied Signal Processing, 1998, vol. 5, pp. 40–48. https://www.doi.org/10.1007/s005290050005
- Rosenblum M. G., Pikovsky A. S. Detecting direction of coupling in interacting oscillators. Phys. Rev. E, 2001, vol. 64, pp. 045202. https://www.doi.org/10.1103/PhysRevE.64.045202
- Smirnov D., Bezruchko B. Estimation of interaction strength and direction from short and noisy time series. Phys. Rev. E, 2003, vol. 68, article number 046209. https://www.doi.org/10.1103/PhysRevE.68.046209
- Smirnov D. A., Bodrov M. B., Bezruchko B. P. Estimation of Coupling Between Oscillators From Time Series Via Phase Dynamics Modeling : Limits Of Method’s Applicability. Izvestiya VUZ. Applied Nonlinear Dynamics, 2004, vol. 12, no. 6, pp. 79–92 (in Russian).
- Sidak E. V., Smirnov D. A., Bezruchko B. P. Estimation Of Characteristics Of Delayed Coupling Between Stochastic Oscillators From The Observed Phase Dynamics. Radiophysics and Quantum Electronics, 2015, vol. 58, no. 7, pp. 529–540. https://www.doi.org/10.1007/s11141-015-9626-x
- Sidak E. V., Smirnov D. A., Osipov G. V., Bezruchko B. P. Influence of nonlinear amplitude dynamics on estimated delay time of coupling between self-oscillatory systems. Technical Physics Letters, 2016, vol. 42, pp. 287–290. https://www.doi.org/10.1134/S1063785016030317
- Khorev V. S., Kiselev A. R., Shvartz V. A., Lapsheva E. E., Ponomarenko V. I., Prokhorov M. D., Gridnev V. I., Karavaev A. S. Investigation of Delay Time in Interaction between the Regulatory Circuits in the Cardiovascular System of Healthy Humans Using Modeling of Phase Dynamics. Izvestiya of Saratov University. Physics, 2016, vol. 16, iss. 4, pp. 227–237. (in Russian). https://www.doi.org/10.18500/1817-3020-2016-16-4-227-237
- Baboukani S., Azemi G., Boashash B., Colditz P., Omidvarnia A. A novel multivariate phase synchrony measure : Application to multichannel newborn EEG analysis. Digital Signal Processing, 2018, vol. 84, article number 57380071. https://www.doi.org/10.1016/j.dsp.2018.08.019
- Stankovski T., Pereira T., McClintock P., Stefanovska A. Coupling functions : Dynamical interaction mechanisms in the physical, biological and social sciences. Philosophical Transactions of the Royal Society A : Mathematical, Physical and Engineering Sciences, 2019, vol. 377, article number 20190039. https://www.doi.org/10.1098/rsta.2019.0039
- Musizza B., Stefanovska A., McClintock P., Palus M., Petrovcic J., Ribaric S., Bajrovic F. Interactions between cardiac, respiratory and EEG-δ oscillations in rats during anaesthesia. J. Physiol., 2007, vol. 580, pp. 315–326. https://www.doi.org/10.1113/jphysiol.2006.126748
- Gruszecka A., Nuckowska M., Waskow M., Kot J., Winklewski P., Guminski W., Frydrychowski A., Wtorek J., Bujnowski A., Lass P., Stankovski T., Gruszecki M. Coupling between Blood Pressure and Subarachnoid Space Width Oscillations during Slow Breathing. Entropy, 2021, vol. 23, article number 113. https://www.doi.org/10.3390/e23010113
- Kamali S., Gharibzadeh S., Jafari S. A new look to coma from the viewpoint of nonlinear dynamics. Nonlinear Dyn., 2018, vol. 92, pp. 2119–2131. https://www.doi.org/10.1007/s11071-018-4184-3
- 1144 reads