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.
We have made four poster presentations at OHBM-2019, a major neuroscience conference held in Rome and sponsored by the Organization for Human Brain Mapping.
CBI Director Prof. Alex Ossadtchi has made a presentation at MEG Nord 2019 to have taken place May 8-10, in Jyväskylä, Finland.
Директор Центра биоэлектрических интерфейсов Алексей Осадчий рассказывает о том, что мы уже знаем о мозге, и о том, что нам ещё предстоит узнать, в интервью на канале НТВ.
On April 16, 2019, Alex Ossadtchi and Mikhail Lebedev have made a keynote speech at the Skolkovo Robotics 2019 event. Nickolay Smetanin has also demoed a neurointerface designed at the CBI to control an exoskeleton (made by the Russian company ExoAtlet).
Russia-24 aired a story in which Alex Ossadtchi, Ksenia Volkova, Nickolay Smetanin, Alexander Belyayev and Alexandra Kuznetsova talk about the CBI and its research: an exoskeleton-controlling neurointerface, myographic interface to control a hand avatar and the main project to develop an invasive neurointerface to be used in clinical settings.
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.
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.
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/.