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R&D position for neurofeedback and brain rehabilitation based on EEG and FMRI

Lieu: 
Contexte: 

The Hybrid and Empenn teams at Inria Rennes are seeking a highly qualified young researcher with engineering experience and motivation in Brain Computer Interface and real-time medical image processing for set-up and operation of a computational platform design in a high technological environment.
This position is open by Inria, Rennes, France, within the frame of the HEMISFER collaborative project. The HEMISFER project aims at coupling functional Magnetic Resonance Imaging (fMRI) and Electro-encephalography (EEG) in order to improve the state-of-the-art in brain rehabilitation for brain disorders, in particular for this position for psychiatric disorders (i.e. depression). The used methodological paradigm is neurofeedback will have close connections to Brain-Computer Interfaces (BCI), visualization and medical image and signal processing. In the scope of the project, novel computational/statistical models, signal processing, empirical protocols and visualizations will be proposed and studied, partly via their computational implementations and finally tested on ambitious clinical protocols.
The proposed position arises in the context of the HEMISFER project of the Labex “CominLabs” (https://team.inria.fr/empenn/research/scientific-activities/hemisfer-pro...) which aims at making full use of the neurofeedback (NF) paradigm in the context of novel neuro-rehabilitation procedures. The major expected breakthrough of HEMISFER will come from the design and use of a computational platform associating brain imaging sensors of functional and metabolic especially real-time Magnetic Resonance Imaging (rtfMRI) and Electro-encephalography (EEG).
This work will be conducted in collaboration between the ERL Empenn U1228 (INSERM / INRIA / CNRS / University of Rennes I) whose research activities are directed towards neuroimaging and medical image processing, and the HYBRID research team (Inria / CNRS) whose research activities focus on Virtual Reality and Computer Human Interactions.
This work will benefit from research-dedicated 3T MRI and EEG/MRI compatible system provided by the NeurInfo platform on which these new research protocols will be set up (http://www.neurinfo.org). The experimental part will be conducted in close collaboration with the Engineering staff of Hemisfer and Neurinfo, and the Psychiatry Hospital of Rennes (Dr. JM Batail and D. Drapier).

Figure: (Left) installation design of the EEG-fMRI environment and (righ) a view through the magnet of a fMRI-EEG Neurofeedback experiment

References:
1. S. Butet, G. Lioi, M. Fleury, A. Lécuyer, C. Barillot, and I. Bonan, "A multi-target motor imagery training using EEG-fMRI Neurofeedback: an exploratory study on stroke," presented at the OHBM 2019 - Annual Meeting Organization for Human Brain Mapping, Rome, Italy, 2019.
2. J. Coloigner, J. M. Batail, D. Drapier, and C. Barillot, "Structural connectivity analysis in treatment-resistant depression," presented at the OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Rome, Italy, 2019.
3. L. Perronnet, A. Lecuyer, M. Mano, M. Clerc, F. Lotte, and C. Barillot. (2018, 2018-01-01 00:00:00). Learning 2-in-1: towards integrated EEG-fMRI-neurofeedback. bioRxiv. Available: https://www.biorxiv.org/content/early/2018/08/22/397729
4. L. Perronnet, A. Lecuyer, M. Mano, E. Bannier, F. Lotte, M. Clerc, and C. Barillot, "Unimodal Versus Bimodal EEG-fMRI Neurofeedback of a Motor Imagery Task," Front Hum Neurosci, vol. 11, p. 193, 2017.
5. M. Mano, A. Lecuyer, E. Bannier, L. Perronnet, S. Noorzadeh, and C. Barillot, "How to Build a Hybrid Neurofeedback Platform Combining EEG and fMRI," Front Neurosci, vol. 11, p. 140, 2017.

Mission: 

The selected post-doc will collaborate with the other members of the project in an integrative software architecture that allows the real-time processing of fMRI and EEG data jointly for the purpose of generation of neurofeedback. The effectiveness of the computational platform will be applied through a large set of home-made in-vivo experiments such as on normal controls, stroke patients but more specifically on psychiatric disorders. Further, the selected post-doc may be requested to implement additional data processing algorithms, software components and computational improvements as needs arise from the research progress.

 

Profil / compétences: 

The ideal applicant should have a strong background in computer sciences, numerical analysis, and statistics. A very good practice in programming, especially in Matlab and in object-oriented programming (C++) and/or Python is required. The applicant should have obtained the PhD degree prior to take the position. The position is opened for an initial period of 12 months with a range of gross salary starting from 2600€ per month, according to experience.

Diplôme requis: 
PhD degree
Lieu de travail: 
RENNES
Type de contrat: 
CDD
Durée du contrat (en mois): 
12
Quotité: 
100%
Salaire Brut / Mens €: 
a range of gross salary starting from 2600€ per month, according to experience.
Date prévisionnelle d'embauche: 
Le plus tôt possible
Candidater: 

Applicants should send their complete application package by email to <pierre.maurel@irisa.fr ; Christian.Barillot@irisa.fr; Anatole.Lecuyer@inria.fr; Giulia.Lioi@inria.fr> This includes:

  • Motivation letter
  • Complete CV with publication list
  • PDF of one representative paper (or slideshow) of the candidate in connection with this project.
  • Recommendation letters (preferably directly sent by the mentor)
  • Incomplete applications will not be processed.