Electroencephalography & physiological signals
Researchers involved:
- PIs: Christophe Phillips, Mohamed Bahri
- Postdocs: Nikita Beliy, Gregory Hammad
Electroencepahalography (EEG) & brain stimulation
The lab has a long standing experience with polysomnographic EEG data processing, from multichannel data visualization to manual scoring and feature extraction. We also contributed to EEG source reconstruction.
We have experience with EEG-TMS recording and modelling. Evoker-response EEG (ERP-EEG) signal recorded during “transcranial magnetic stimulation” (TMS) combined “dynamic causal modelling” (DCM) with cortical column “neural mass model” (NMM-DCM) provides a computational way to look at neuronal excitability and its modulation.
Recently we worked on accurate electro-magnetic head modelling for application such as EEG forward problem solution and “trans-cranial direct current stimulation” (tDCS). The aims of the project for tDCS are to 1/ better understand how tDCS can affect cognitive performances and 2/ optimize the experimental setup to maximize the cognitive effect.
Physiological signal analysis
We have developed a software toolbox for actigraphic data. This tool allows the systematic analysis and modelling of large scale, i.e. month long and 100+ subjects, actigraphy data.
Similarly we have used aye-tracking systems, typically during functional MRI acquisition, to record pupil movements and dilation over time. These occulometric data can provide insight about one’s level of wakefulness and emotional reactiveness.
