- To specify the pathophysiological features of this deleterious brain activity (epileptic seizures, interictal spikes or high frequency oscillations) opening avenues for a better understanding and control of this disease.
- To understand the basic neural dynamics underlying various sensory, motor, or cognitive functions (pain integration; auditory, visual and olfactory cognition; attention; sleep; emotions; through a real-time monitoring of interactions between brain and environment).
- High-performance EEG signal amplifiers and recording system (Micromed, frequency acquisition up to 2048 Hz; high throughput: 256 channels (2 rooms) or 128 channels (2 rooms).
- Ambulatory recordings.
- Multimodal sensory and cognitive stimulation, eye-tracking.
- 4 rooms are equipped with video-EEG patient monitoring as part of the Epilepsy Dept clinical activity. An additional room, electrically shielded and equipped with a specific recording system (Micromed and Blackrock, frequency acquisition up to 30 kHz), is devoted to advanced behavioural testing and iEEG recordings, including multi-unit activity with dedicated implanted microelectrodes.
- For signal analysis, the platform benefits from specific tools already developed by CRNL teams (e.g. ELAN software for time-frequency analysis, Brain TV for real-time monitoring and HiBOP for the dynamic visualization of task-induced iEEG responses onto 3D anatomy rendering at the individual and group-level, all developed by DYCOG team). These tools are made available to all platform users.
Created several years ago for clinical purposes, this iEEG platform permitted to record and analyze intracortical EEG in patients with drug-resistant epilepsy candidates to epilepsy surgery.
Beside the precise localization of cortical epileptic foci, this technique allows to specify the pathophysiological features of this deleterious brain activity opening avenues for a better understanding and control of this disease.
More recently this unique opportunity to record neural activity throughout the human brain with optimal time and anatomical resolution has been extended to approaches aiming at understanding the basic neural dynamics underlying pain integration, auditory, visual and olfactory cognition, attention, sleep and emotions through a real-time monitoring of interactions between brain and environment.
The iEEG platform was one of the 5 platforms part of the IHU-B CESAME program (2013-2017). The research opportunities offered by this clinical facility has been highly boosted and structured thanks to CESAME funding. Specifically, high-performance set-up has recently been completed by the possibility to simultaneously record iEEG and multi-unit activity with dedicated implanted microelectrodes allowing a truly multiscale investigation of brain network dynamics