EEGLab 2022 Lublin
Mini-courses

Mini-courses

Tuesday, September 13th, 13:30 – 14:30: Multimodal neuroimaging application: simultaneous recording of EEG and fNIRS (Laura Leuchs, BrainProducts & Elena Manferlotti, NIRx)

EEG and fNIRS reveal complementary aspects of neural activity, allowing a more comprehensive description of brain electric and hemodynamic functions. EEG detects fast cortical responses to a given stimulus with a high temporal resolution. fNIRS localizes changes in oxygen metabolism that follow neural activation. To provide a streamlined solution for simultaneous EEG and fNIRS measurements, the companies Brain Products and NIRx have teamed up in strong cooperation. This presentation will highlight both measures’ benefits and demonstrate how EEG and fNIRS measurements can be combined.

Wednesday, September 14th, 13:30 – 14:30: New standard in EEG: latest product updates and hands-on session (Jelena Jovanovic, mBT)

With strong commitment to building the products which implement the latest technologies, mbt keeps on widening the product portfolio with EEG systems that offer always greater versatility and convenience for brain researchers. In this workshop, Jelena will present the latest product updates – why they believe SMARTING PRO sets the new standard in EEG and what the new technologies offer in practice. Do not miss the talk and the following hands-on session.

Thursday, September 15th, 18:00 – 19:00: Measuring hemodynamic and electrophysiological activity using portable fNIRS and EEG systems (Paweł Augustynowicz, Cortivision; Laura Pampliega & Jorge López, BitBrain)

Our short presentation will show how to quickly and easily measure the cerebral cortex’s hemodynamic and electrophysiological response using the integrated fNIRS and EEG
systems from Cortivision and BitBrain. We will demonstrate how to create an experimental procedure, set up the devices, prepare sensors, and export signals for analysis.
We will primarily focus on measuring brain activity in movement conditions and integrating various biological signals via LSL protocol, e.g., for cognitive experiments in a VR environment. We believe that our solution will be interesting for researchers in cognitive neuroscience, movement sciences, neurorehabilitation, ergonomics, and brain-computer interfaces.