MODEling and STeering BRain Oscillations based on in vivo Optogenetics Data
Axe : Axe SciLex: Continuous and discrete systems: models and verification
Sujet : MODEling and STeering BRain Oscillations based on in vivo Optogenetics Data
Directeurs : Antoine Chaillet, L2S, Mario Sigalotti, INRIA et Alain Destexhe, UNIC
Institutions : CentraleSupélec
Doctorant : Jakub Orlowski
Début : 01/11/16
Productions scientifique :
- Orlowski, J., Sigalotti, M., Destexhe, A., Chaillet, A. (2017, June) Adaptive stimulation in a delayed Wilson-Cowan model for disruption of pathological oscillations. Poster session presented at Neuroscience Workshop Saclay 2017, Gif-sur-Yvette, France.
- Orlowski, J., Chaillet, A., Sigalotti, M. and Destexhe, A. (2018, December). Adaptive scheme for pathological oscillations disruption in a delayed neuronal population model. Paper accepted to 57th IEEE Conference on Decision and Control, Miami Beach, FL, USA.
Neuronal oscillations are ubiquitous in the brain, both in health and disease. Nonetheless, the precise role of these oscillations is still a matter of debate, and the mechanisms by which they are generated are still poorly understood. Technological advances offer unprecedented ways to acquire and influence these oscillations. Electrode arrays and electrodes with dense recording plots now provide excellent spatiotemporal resolution of local brain activity. Moreover, the recent advent of optogenetics is revolutionizing the way of stimulating brain structures. The combination of electrophysiological recordings and optogenetics is thus particularly appealing to decipher the mechanisms of oscillations generation and their role in brain functioning, and to develop closed-loop strategies to steer brain oscillations (especially pathological ones).
Objectif scientifique :
This project aims at developing and validating ad hoc methodologies to model, identify, analyze and control brain oscillations with these experimental tools. The challenges in that direction are numerous due to the nonlinear and spatiotemporal nature of the processes involved. To address these challenges, this project proposes to adapt or develop methodologies from control theory to the brain dynamics specificities.
The performance of the developed methodologies will be confronted to experimental data of pathological oscillations linked to parkinsonian symptoms, that were collected on healthy and parkinsonian rodents under optogenetics in the ANR project SynchNeuro, in partnership with Stéphane Palfi and Suhan Senova (H. Mondor hospital, INSERM), Frédéric Pain (Univ. Paris Sud, IMNC), Christophe Pouzat (MAP5 - CNRS), and Philippe Hantraye and Romina Aron-Badin (CEA MIRCen). Prior to the experimets, the efficacy of the proposed methods will be assessed on a detailed model of the relevant brain structures in collaboration with John Fleming and Madeleine Lowery (University College Dublin).