Goal of research
The goal of our research is to investigate mechanisms of the decision making and cognitive control, perception and generation of speech, perception of the multimodal information by active and passive brain decoding using technologies of dynamical neurovizualization, connectivity assessment, computational modeling and neurointerfaces.
Our methods include navigated Transcranial Magnetic Stimulation (nTMS), Transcranial Direct Current Stimulation (tDCS), Transcranial Alternating Current Stimulation (tACS), Magnetoencephalography (MEG), Electroencephalography (EEG), Eyetracking, functional and structural magnetic resonance imaging (fMRI, MRI).
Empirical base of research
National Research University Higher School of Economics unique equipment “Automated system for non-invasive brain stimulation allows synchronous registration of neural oscillations and tracking of eye-movements fixation”. It includes 2 TMS stimulators: MagPro X100 (MagVenture) with Localite navigation system which uses structural MRI scans for precise localization of the stimulation points, 2 Eye-trackers: SMI REDm and Eyelink 1000 plus, virtual reality eye tracking setup HTC Vive +Pupil labs, 128-channel BRAINAMP DC amplifier for EEG (Brain Products), TES System. Following equipment was also used: Vectorview MEG-system from Elekta Neuromag (MGPPU), 3-T MRI scanner Siemens (FSBNU NTSN).
Results of research
In 2019 we have conducted a wide range of the interdisciplinary research studies, aimed at deepening our knowledge about fundamental mechanisms of the brain functioning, namely, the interaction between different neurocognitive systems, as well as between different levels of the information processing of speech perception, decision making, performing movements and other activities, including resting state. Specific emphasis in our work was on decoding neuronal activity during neurocognitive and neuroeconomy tasks. We have focused on the development of neurocognitive technologies. We have significantly widened approaches to the analysis of multidimensional data of brain activity. Together with temporal brain state correlations, and MEG and EEG cross-frequencies detection method we implemented intracortical high frequency analysis, representational similarity analysis, running wave method, spike sorting Spyking Circus technique, deep learning and other classification methods, MEG frequency marking changes and many more.
Level of implementation, recommendations on implementation or outcomes of the implementation of the results
We have achieved significant results in the field of the applied research, which led to the development of new biomarker and neurocorrelates of pathological states and neurodegenerative disorders detection: epilepsy, stroke, aphasia etc. Significant results were obtained in the development of the neurocognitive technologies, for example, we created an algorithm for the automatic detection of interconnected spikes and new mathematical methods of measuring cortical representation maps, neuromarketing measures of optimal price and many more.