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Regular version of the site

Centre for Bioelectric Interfaces

Publications
Article
Latent variable method for automatic adaptation to background states in motor imagery BCI

Dagaev N., Volkova K., Ossadtchi A.

Journal of Neural Engineering. 2018. Vol. 15. No. 1. P. 1-14.

Article
Commentary: Injecting Instructions into Premotor Cortex

Ossadtchi A., Lebedev M.

Frontiers in Cellular Neuroscience. 2018. Vol. 12. No. 65. P. 1-3.

Article
Commentary: Spatial Olfactory Learning Contributes to Place Field Formation in the Hippocampus

Ossadtchi A., Lebedev M.

Frontiers in Systems Neuroscience. 2018. Vol. 12. No. 8. P. 1-5.

Article
Navigation Patterns and Scent Marking: Underappreciated Contributors to Hippocampal and Entorhinal Spatial Representations?

Lebedev M., Пимашкин А. С., Ossadtchi A.

Frontiers in Behavioral Neuroscience. 2018. Vol. 12. No. 98. P. 1-8.

The last decade is marked by an increased interest in studying the possibility of direct communication between the brain and external devices, including the brain of another person. The most accessible type of brain-computer interfaces uses multi-channel electroencephalographic signals that non-invasively record brain activity. Despite active research in this direction, it has not been possible to achieve natural control of external devices solely on the basis of non-invasively recorded brain signals.

At the same time, animal experiments have shown that using deep electrodes that record the activity of a large number of individual neurons, it is possible to create brain-controlled devices that reproduce natural motor actions, such as capturing and moving objects and walking on two legs. Invasive IMC can decode and schedule movements over time.

Application of such technology to the creation of interfaces on people is limited by high risks of using needle electrodes, arising complications, as well as fouling of needle electrodes with a connective tissue and loss of electrical contact. A reasonable compromise is the use of subdural or epidural nets of electrodes, allowing with a low risk to the health of the user to significantly increase the capacity of the direct communication channel with the brain, and also through electrostimulation to realize somatosensory feedback.

The main goal of the Laboratory is the development of the information technology of bidirectional communications using the corticographic interface in combination with modern methods for processing multidimensional data and somatosensory feedback through electrostimulation or sensory replacement.

The project is carried out jointly with the clinical medical centre of the Clinical Medical Centre of MGMSU and the Polenov Russian Research Institute of Neurosurgery, who are the clinical bases of this interdisciplinary project.

The development of the interface is based on knowledge of the functional significance of areas of the cerebral cortex. Such information can be obtained using the methods of neurocardication which is another field of research of our laboratory.

 


How does the brain behave during simultaneous interpreting?

A recent edition of Popular Mechanics has featured an article about the study "Testing the efforts model of simultaneous interpreting: An ERP study" by Roman Koshkin, Yury Shtyrov, Andriy Myachykov and Alex Ossadtchi originally published in PLoS ONE in 2008.

Illustration for news: ExoRehab Spotlights 2018 Symposium

ExoRehab Spotlights 2018 Symposium

Photo report from the international symposium ExoRehab Spotlights 2018 that took place on December 5 in Moscow.
Researchers of the Center for Bioelectric Interfaces Nikolai Smetanin, Aleksandra Kuznetsova and Alexei Ossadtchi presented Russia's first EEG-based neural interface that uses lower limb motor imagery for exoskeleton control. Alexei Ossadtchi also made a presentation "BCI for walk decoding".
This work has been done in collaboration with the Russian company ExoAtlet and Denis Lyovin who had volunteered to pilot the exoskeleton.
Megagrant #14.641.31.0003 "Bi-directional ECoG BCIs for contol, stimulation and communication". Lead scientist: Mikhail Lebedev.

The paper "NFBLab — A Versatile Software for Neurofeedback and Brain-Computer Interface Research" is now published.

Frontiers in Neuroinformatics (impact-factor 3.87) has published the paper "NFBLab — A Versatile Software for Neurofeedback and Brain-Computer Interface Research" by Nikolai Smetanin, Ksenia Volkova, Stanislav Zabodayev, Mikhail Lebedev and Alexei Ossadtchi. This research was funded by Megagrant #14.0641.31.0003. Lead scientist: Mikhail Lebedev.

Illustration for news: Congrats to Anastasiya Belinskaya on winning a studentship from the Oxford Russia Fund!

Congrats to Anastasiya Belinskaya on winning a studentship from the Oxford Russia Fund!

We congratulate our colleague Anastasiya Belinskaya on winning a studentship from the Oxford Russia Fund! The studentship is awarded to graduate students for 2018 and 2019 based on academic merit and research performance. Anastasiya's master thesis project is titled "The effect of feedback signal presentation latency on the effectiveness of training in neurofeedback paradigm" and is supervised by Prof. Alex Ossadtchi.

To learn more about the studentship, please visit http://oxfordrussia.ru/news/324/.

Illustration for news: Videos from the CCCP conference are now available!

Videos from the CCCP conference are now available!

We have uploaded video recordings from the October 2018 conference titled "CCCP: Cortical Codes: Control and Perception" co-organized by the Center for Bioelectric Interfaces and the Institute of Cognitive Neurosciences. 

Illustration for news: BCI-controlled exoskeleton: neurorehabilitation for patients with impaired lower limb function

BCI-controlled exoskeleton: neurorehabilitation for patients with impaired lower limb function

At the international symposium ExoRehab Spotlights 2018 held on December 5 in Moscow, researchers of the Center for Bioelectric Interfaces Nikolai Smetanin, Aleksandra Kuznetsova and Alexei Ossadtchi presented Russia's first EEG-based neural interface that uses lower limb motor imagery for exoskeleton control. Alexei Ossadtchi also made a presentation "BCI for walk decoding". This work has been a collaboration with the Russian company ExoAtlet.

Megagrant #14.641.31.0003 "Bi-directional ECoG BCIs for contol, stimulation and communication". Lead scentist: Mikhail Lebedev.

Successful ECoG decoding in real time!

Today marks the successful completion of the first year of our research project funded by Megagrant #14.641.31.0003 "Bi-directional ECoG BCIs for control, stimulation and communication" (lead scientist: Mikhail Lebedev).

Conference "Rehabilitation based on Neurotechnologies"

Pirogov Russian National Research Medical University is hosting a conference "Rehabilitation based on Neurotechnologies" in Moscow on November 29. Alexei Ossadtchi will give a talk on the topic "Electrocorticographic neurointerface for restoring lost functions and passive mapping of irreplaceable cortex", and Mikhail Lebedev will give a talk on the topic "Intracranial brain-computer interfaces: from monkey to human."

Megagrant № 14.0641.31.0003, leading researcher Mikhail Lebedev

Our clinical studies

Megagrant #14.641.31.0000. Lead scientist: Mikhail Lebedev. Invasive neural interfaces involve the analysis of electrocortigocraphical (ECoG) data recorded from subdurally implanted electrode arrays. This can be done in patients who require implanting an electrode array for medical reasons, therefore ECoG recording sessions are conducted exclusively in clinical settings. Our Center collaborates with two clinics: Clinical Medical Center of the Yevdokimov Moscow State Medico-Dental University and the Polenov Russian Research Institute of Neurosurgery.

Illustration for news: International Conference on Neuroscience, Neuroinformatics, Neurotechnology and Neuro-Psycho-Pharmacology in Bucharest

International Conference on Neuroscience, Neuroinformatics, Neurotechnology and Neuro-Psycho-Pharmacology in Bucharest

Russian ministry of Education and Science Government grant ag. No 14.641.31.0003, Megagrant to Mikhail Lebedev.

Mikhail Lebedev participated with the invited talk "Repairing the brain with brain-machine interfaces" in the International conference in Bucharest, Romania, 15-17th of November.