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Mikhail R. Isaev
Junior scientist
Laboratory of Mathematical Neurobiology of LearningE-mail: shycmympuk@yandex.ru
- Scopus ID
- 57190072330
- ORCID ID
- 0000-0002-3907-5056
- Web of Science ResearcherID
- AAC-3620-2022
Publication list
Papers
- Reshetnikova V.V., Bobrova E.V., Grishin A.A., Vershinina E.A., Bogacheva I.N., Shsherbakova N.A., Isaev M.R., Bobrov P.D., Gerasimenko Y.P. Lower limb muscle activity during neurointerface control: neurointerface based on motor imagery of feet dorsiflexion. Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova. 2025. V. 75. N. 3. 313–326. DOI: 10.31857/S0044467725030041
- Bobrova E.V., Reshetnikova V.V., Grishin A.A., Vershinina E.A., Bogacheva I.N., Scherbakova N.A., Isaev M.R., Bobrov P.D., Gerasimenko Yu.P. Lower limb muscle activity during neurointerface control: neurointerface based on motor imagery of walking. Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova.. 2024. V. 74. N. 5. P. 591-605. DOI: 10.31857/s0044467724050042
- Kurganskaya M.E., Bobrov P.D., Isaev M.R. Spontaneous fluctuations of brain electrical activity and movement initiation. Integrative physiology. 2024. V. 5. N. 2. P. 144-155. DOI: 10.33910/2687-1270-2024-5-2-144-155
- Kurganskaya M.E., Isaev M.R., Bobrov P.D. Dynamics of EEG synchronization and desynchronization when performing real and imagined hand reaching. Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova. 2024. V. 74. N. 2. P. 210-222. DOI: 10.31857/S0044467724020069
- Mokienko O.A., Lyukmanov R.Kh., Bobrov P.D., Isaev M.R., Ikonnikova E.S., Cherkasova A.N., Suponeva N.A., Piradov M.A. Brain-computer interfaces based on near-infrared spectroscopy and electroencephalography registration in post-stroke rehabilitation: a comparative study. Nevrologiya, neiropsikhiatriya, psikhosomatika. 2024. V. 16. N. 5. P. 17-23. DOI: 10.14412/2074-2711-2024-5-17-23
- Isaev M.R., Mokienko O.A., Lyukmanov R.K., Ikonnikova E.S., Cherkasova A.N., Suponeva N.A., Piradov M.A., Bobrov P.D. A multiple session dataset of NIRS recordings from stroke patients controlling brain-computer interface. Scientific Data. 2024. V. 11. N. 1. P. 1168. DOI: 10.1038/s41597-024-04012-6
- Lyukmanov R.Kh., Isaev M.R., Mokienko O.A., Bobrov P.D., Ikonnikova E.S., Cherkasova A.N., Suponeva N.A. Brain–Computer Interface Using Functional Near-Infrared Spectroscopy for Post-Stroke Motor Rehabilitation: Case Series. Annals of Clinical and Experimental Neurology. 2023. V. 17. N. 4. 82–88. DOI: 10.54101/ACEN.2023.4.10
- Frolov A., Bobrov P.D., Biryukova E.V., Isaev M.R., Kerechanin Y.V., Bobrov D., Lekin A. Using multiple decomposition methods and cluster analysis to find and categorize typical patterns of EEG activity in motor imagery brain–computer interface experiments. Frontiers in Robotics and AI. 2020. V. 7. Article 88. DOI: 10.3389/frobt.2020.00088
- Bobrov P.D., Isaev M.R., Korshakov A.V., Oganesyan V.V., Kerechanin Y.V., Popodko A.I., Frolov A.A. Sources of electrophysiological and foci of hemodynamic brain activity most relevant for controlling a hybrid brain-Computer interface based on classification of EEG patterns and near-infrared spectrography signals during motor imagery. Human Physiology. 2016. V. 42. N. 3. P. 12-24. DOI: 10.7868/S0131164616030048