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Commentary: Emergence of a stable cortical map for neuroprosthetic control
Frontiers in Neuroscience. 2017. Vol. 11. No. 642. P. 1–4.
Lebedev M.
This highly cited paper by Ganguly and Carmena (2009) reported a case of neuroplasticity associated with the operation of a brain-machine interface (BMI). Neuroplasticity is of great interest to BMI developers because of its causal role in the embodiment of neural prostheses (Lebedev and Nicolelis, 2006; Dobkin, 2007; Koralek et al., 2012; Shenoy and Carmena, 2014; Kraus et al., 2016; Gulati et al., 2017). Ganguly and Carmena reported that small populations of neurons (from 10 to 15) recorded in monkey primary motor cortex (M1) adapted to operating a BMI based on a fixed linear decoder. The decoder was trained once and left unchanged for several weeks. The population activity patterns underwent plastic modifications and stabilized on an optimal “cortical map” that assured accurate performance of center-out movements with a screen cursor. Moreover, monkeys learned to operate shuffled decoders, where the original neuronal weights were randomly reassigned. Here I comment on three issues arising from this paper: (1) the proper way to assess neuronal tuning under BMI control; (2) the constraints imposed on neuronal tuning properties by a fixed decoder; and (3) the problem of measuring changes in tuning when both neuronal activity and cursor trajectories change.
Исаев М. Р., Bobrov P., Журнал высшей нервной деятельности им. И.П. Павлова 2022 Т. 72 № 5 С. 728–738
The paper proposes methods for brain–computer interface, based on the hemodynamic activity registration using near–infrared spectroscopy (NIRS) and adapted for using in the movement disorders rehabilitation. Methods include a filtration adapted to the instructions frequency, step by step classification of the rest state and active tasks, as well as training of the interface classifier on ...
Added: March 18, 2026
Люкманов Р. Х., Исаев М. Р., Mokienko O. et al., Анналы клинической и экспериментальной неврологии 2023 Т. 17 № 4 С. 82–88
Introduction. Non-invasive brain–computer interfaces (BCIs) enable feedback motor imagery [MI] training in neurological patients to support their motor rehabilitation. Nowadays, the use of BCIs based on functional near-infrared spectroscopy (fNIRS) for motor rehabilitation is yet to be investigated. Objective: To evaluate the potential fNIRS BCI use in hand MI training for comprehensive post-stroke rehabilitation. Materials ...
Added: March 18, 2026
Лабор В. В., Mokienko O., Черкасова А. Н. et al., Журнал неврологии и психиатрии им. С.С. Корсакова 2025 Т. 125 № 11 С. 27–35
В статье представлен обзор исследований, посвященных применению тренировок представления движения и интерфейсов мозг-компьютер (ИМК) для когнитивной реабилитации пациентов с неврологическими заболеваниями. На основе анализа исследований, опубликованных с 2004 по 2025 г., проведена оценка эффективности данных методов в восстановлении когнитивных функций у пациентов с инсультом (13 исследований), болезнью Паркинсона (4) и рассеянным склерозом (2). Большинство исследований демонстрирует положительное влияние тренировок представления движения на когнитивные функции пациентов с неврологическими заболеваниями и когнитивным дефицитом средней ...
Added: March 18, 2026
Mokienko O., Chervyakov A., Kulikova S. et al., Frontiers in Computational Neuroscience 2013 No. 7 Article 168
Background: Motor imagery (MI) is the mental performance of movement without muscle activity. It is generally accepted that MI and motor performance have similar physiological mechanisms.
Purpose: To investigate the activity and excitability of cortical motor areas during MI in subjects who were previously trained with an MI-based brain-computer interface (BCI).
Subjects and Methods: Eleven healthy volunteers ...
Added: March 9, 2026
Frolov A., Mokienko O., Lyukmanov R. et al., Frontiers in Neuroscience 2017 Vol. 11 Article 400
Repeated use of brain-computer interfaces (BCIs) providing contingent sensory feedback of brain activity was recently proposed as a rehabilitation approach to restore motor function after stroke or spinal cord lesions. However, there are only a few clinical studies that investigate feasibility and effectiveness of such an approach. Here we report on a placebo-controlled, multicenter clinical ...
Added: March 9, 2026
Isaev M., Pavel Bobrov, Olesya Mokienko et al., Sensors 2025 Vol. 25 No. 16 Article 5040
Understanding patterns of interhemispheric asymmetry is crucial for monitoring neuroplastic changes during post-stroke motor rehabilitation. However, conventional laterality indices often pose computational challenges when applied to functional near-infrared spectroscopy (fNIRS) data due to the bidirectional hemodynamic responses. In this study, we analyze fNIRS recordings from 15 post-stroke patients undergoing motor imagery brain-computer interface training across ...
Added: March 6, 2026
Gavrilenko Y., Saada D., Ilyushin E. et al., Advances in Intelligent Systems and Computing 2021 Vol. 1310 P. 97–105
The internal speech recognition is a promising technology, which could find its use in brain-computer interfaces development and greatly help those who suffer from neurodegenerative diseases. The research in this area is in its early stages and is associated with practical value, which makes it relevant. It is known that internal pronunciation can be restored ...
Added: October 2, 2025
Asker A. Nagoev, Rusak A., Truskova A., , in: Big Data and Artificial Intelligence for Decision-Making in the Smart EconomyVol. 168.: Switzerland: Springer, 2025. Ch. 41 P. 389–396.
Added: August 27, 2025
Makarova A., Volkova K., Lebedev M. et al., , in: 2021 Third International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2021. P. 64–66.
This study aims to identify correlations between the directions of the hand movements and the brain signals recorded from the brain surface using electrocorticography (ECoG). We suppose that the coding of the hand movement direction occurs in the motor cortex and could be detected with ECoG. Using representational similarity analysis (RSA) and the cosine tuning ...
Added: December 9, 2022
Grigoreva A., Gorin A., Valeriy K. et al., , in: 2022 Fourth International Conference Neurotechnologies and Neurointerfaces (CNN) Kaliningrad, 14-16 Sept. 2022.: IEEE, 2022. P. 41–45.
Transcranial electrical stimulation (TES) is a popular approach for studying and modulating cortical function. Currently, numerous studies use TES in behavioral experiments with no physiological control. The authors of such studies rely on the assumption of fairness and complete predictability of their stimulation models. However, control reveals the actual effect induced by the stimulation rarely ...
Added: November 30, 2022
Vukovic N., Hansen B., Lund T. E. et al., PLoS Biology 2021 Vol. 19 No. 6 Article e3001290
Despite the clear importance of language in our life, our vital ability to quickly and effectively learn new words and meanings is neurobiologically poorly understood. Conventional knowledge maintains that language learning—especially in adulthood—is slow and laborious. Furthermore, its structural basis remains unclear. Even though behavioural manifestations of learning are evident near instantly, previous neuroimaging work ...
Added: January 21, 2022
Fedosov N., Levadniy I., Dmitriev A. et al., , in: Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020.: IEEE, 2020. P. 69–72.
Added: December 8, 2021
Falikman M., В кн.: Наука без границ: синергия теорий, методов и практик : материалы Международной научной конференции.: М.: ФГБОУ ВПО МГЛУ, 2020. С. 8–9.
Человеческая эволюция на протяжении сотен тысяч лет – это не толь- ко эволюция человека как биологического вида, но и культурная эволю- ция, связанная с появлением, сохранением и исчезновением определенных культурных орудий и практик.
В развитии человека разделить биологическую и культурную эволюцию практически невозможно. Мозг современного человека сформирован культурными практиками человечества и теми орудиями, в том числе ...
Added: February 3, 2021
Gorin A., Krugliakova E., Nikulin V. et al., Scientific Reports 2020 Vol. 10 No. 21161 P. 1–14
Both human and animal studies have demonstrated remarkable findings of experience-induced plasticity in the cortex. Here, we investigated whether the widely used monetary incentive delay (MID) task changes the neural processing of incentive cues that code expected monetary outcomes. We used a novel auditory version of the MID task, where participants responded to acoustic cues ...
Added: October 30, 2020
Varnavsky A.N., Romanova I.I., , in: 2020 IEEE 40th International Conference on Electronics and Nanotechnology (ELNANO).: IEEE, 2020. Ch. 9088759 P. 484–487.
Students’ cognitive processes while their learning activities strongly influence the effectiveness of education. The indicators of such processes can be determined using an electroencephalogram analysis and, as a consequence, the success of educational process as a whole can be predicted. For this analysis, alpha and beta rhythms are traditionally used. It may be of interest ...
Added: September 19, 2020
Lebedev M., Proceedings of the National Academy of Sciences of the United States of America 2019 Vol. 116 No. 43 P. 21821–21827
Intracortical microstimulation (ICMS) of the primary somatosensory cortex (S1) can produce percepts that mimic somatic sensation and, thus, has potential as an approach to sensorize prosthetic limbs. However, it is not known whether ICMS could recreate active texture exploration-the ability to infer information about object texture by using one's fingertips to scan a surface. Here, we show that ...
Added: November 1, 2019
Lebedev M., Frontiers in Neuroscience 2019 Vol. 13 P. 1–24
The Internet comprises a decentralized global system that serves humanity's collective effort to generate, process, and store data, most of which is handled by the rapidly expanding cloud. A stable, secure, real-time system may allow for interfacing the cloud with the human brain. One promising strategy for enabling such a system, denoted here as a "human brain/cloud interface" ("B/CI"), ...
Added: November 1, 2019
Lebedev M., Neural Computation 2019 Vol. 31 No. 6 P. 1085–1113
Although many real-time neural decoding algorithms have been proposed for brain-machine interface (BMI) applications over the years, an optimal, consensual approach remains elusive. Recent advances in deep learning algorithms provide new opportunities for improving the design of BMI decoders, including the use of recurrent artificial neural networks to decode neuronal ensemble activity in real time. Here, we developed a long-short term memory (LSTM) decoder ...
Added: November 1, 2019
Pechenkova E., Nosikova I., Rumshiskaya A. et al., Frontiers in Physiology 2019 Vol. 10 P. 761:1–761:23
The present study reports alterations of task-based functional brain connectivity in a group of 11 cosmonauts after a long-duration spaceflight, compared to a healthy control group not involved in the space program. To elicit the postural and locomotor sensorimotor mechanisms that are usually most significantly impaired when space travelers return to Earth, a plantar stimulation ...
Added: July 10, 2019