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Annonce

6 mars 2020

5 job offers at « Institut de Neurosciences des Systèmes », Marseille, France


Catégorie : Proposition de poste


GALVANI ERC Synergy Project
5 positions (Research Engineer, PostDoc, PhD) are available within the GALVANI project

Context
The GALVANI project (https://www.galvani-lab.eu/) is a European research project (ERC SYNERGY 2020) aiming at developing non-invasive brain transcranial current stimulation (tCS) in epilepsy. Cumulated prevalence of epilepsy is 3% and about one-third of patients are drug resistant. This situation leads to major handicaps and comorbidities. In focal DRE, epilepsy surgery may be indicated if a focal resection is possible, a decision often taken after invasive EEG recordings (Stereo-EEG, SEEG). However, epilepsy surgery is possible in only 20% of DRE patients and is facing a certain number of failures. In this context, tCS is a promising tool in patients with drug resistant epilepsy (DRE). Still, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI project is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields.

Scientific Environment
GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHP (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience
Within the GALVANI project, the Marseille team is specialized in the management of epilepsy at Timone Hospital in the Epileptology and Cerebral Rhythmology department (Head Prof. F Bartolomei) with a strong expertise in SEEG explorations. The hospital department houses a research team from the Institut de Neurosciences des Systèmes (INS, INSERM AMU 1106, DYNAMAP team, dir C. Benar, https://ins-amu.fr/dynamap) specialized in the analysis of electrophysiological signals (SEEG, MEG, EEG).

We are looking for several candidates (PhD or Postdocs) that can complement and extend the DYNAMAP team’s expertise in the GALVANI Research project.

Contacts:
Christian Bénar (christian.benar@univ-amu.fr)
Fabrice Bartolomei (Fabrice.Bartolomei@ap-hm.fr)

GALVANI ERC Synergy Project
5 positions (Research Engineer, PostDoc, PhD) are available within the GALVANI project

Context
The GALVANI project (https://www.galvani-lab.eu/) is a European research project (ERC SYNERGY 2020) aiming at developing non-invasive brain transcranial current stimulation (tCS) in epilepsy. Cumulated prevalence of epilepsy is 3% and about one-third of patients are drug resistant. This situation leads to major handicaps and comorbidities. In focal DRE, epilepsy surgery may be indicated if a focal resection is possible, a decision often taken after invasive EEG recordings (Stereo-EEG, SEEG). However, epilepsy surgery is possible in only 20% of DRE patients and is facing a certain number of failures. In this context, tCS is a promising tool in patients with drug resistant epilepsy (DRE). Still, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI project is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields.

Scientific Environment
GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHP (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience
Within the GALVANI project, the Marseille team is specialized in the management of epilepsy at Timone Hospital in the Epileptology and Cerebral Rhythmology department (Head Prof. F Bartolomei) with a strong expertise in SEEG explorations. The hospital department houses a research team from the Institut de Neurosciences des Systèmes (INS, INSERM AMU 1106, DYNAMAP team, dir C. Benar, https://ins-amu.fr/dynamap) specialized in the analysis of electrophysiological signals (SEEG, MEG, EEG).

We are looking for several candidates (PhD or Postdocs) that can complement and extend the DYNAMAP team’s expertise in the GALVANI Research project.

Contacts:
Christian Bénar (christian.benar@univ-amu.fr)
Fabrice Bartolomei (Fabrice.Bartolomei@ap-hm.fr)

 

Position 1: Post-doc/PhD “Interictal and Ictal Markers of the epileptogenic zone” (3 years)

Planned recruitment: March 2020 (3y)
Rationale: Epilepsy is a disease of brain networks. It is increasingly recognized that investigation of pathological networks helps delineating the epileptogenic zone, i.e. the brain regions that need to be removed in order to abolish epileptic seizures. This is to be contrasted with the propagation zone, i.e regions involved secondarily within the ictal discharges. The best methods for defining the network, as well as the type of activity (background, epileptic spikes, oscillations) remain to be defined. Within the Galvani project, network characterization will permit defining which nodes of the models are epileptic, as well a quantifying the impact of stimulation on pathological activity.

Objectives: Perform local and network measures based either on raw interictal signals or on event detections, and define which combination of measures best predict the epileptogenic zone.

Methods: Constitute an SEEG database with interictal measures, ictal activity, visual onset zone; surgery results. Define and compute epileptogenicity biomarkers: connectivity patterns, co-occurrence of detected events, time-frequency analysis of ictal signals. Evaluate markers by testing them versus the EZ defined visually or automatically.

Required skills: Electrophysiology, epilepsy, signal processing, programming in Matlab or Python. Good capacities to work in a team.


Position 2: Post-doc/PhD “Quantification of immediate impact of tDCS on brain activity” (3 years)

Planned recruitment:
Sept 2020
Rationale: The actual impact of brain stimulation on brain activity is poorly known. Intracerebral EEG performed in patients during presurgical evaluation of epilepsy give a formidable opportunity for measuring this impact directly within brain tissues.

Objectives: Perform tCS in patients with simultaneous recording of intracerebral stereotaxic EEG (SEEG) within a research protocol to be submitted to ethical committee. Measure the impact of stimulation on brain signals thanks to signal processing metrics.

Methods: SEEG signals will be acquired continuously during stimulation, with periods of rest. The signals during and directly after stimulation will be compared to signals before stimulation (baseline) thanks to the methods developed within Project 1 (local and network measures). Artefact subtraction methods will be applied to the SEEG signals in order to remove the influence of stimulation.

Required skills: Electrophysiology recording and analysis, epilepsy, signal processing, programming in Matlab or Python. Good capacities to work in a team.


Position 3: Post-doc/PhD “Non-invasive measures of brain excitability” (3y)

Planned recruitment: Jan 2021

Rationale:
Magnetoencephalography (MEG) and electroencephalography (EEG) are complementary non-invasive measures for characterizing epileptic networks. MEG has high spatial specificity, being little influenced by skull conductivity (contrary to EEG), but is much less sensitive than EEG to radial sources than EEG. Within the GALVANI, MEG and EEG will provide a global view of brain activity. Moreover, improving the fusion of EEG and MEG with validation by SEEG will improve clinical practice in a general way.

Objectives:
Perform EEG/MEG data fusion for localizing activity and charactering epileptic networks. Thanks to this fusion, the methods developed in projects 1 will be performed on simultaneous EEG/MEG for testing the impact of tCS on brain activity in a global way.
Methods: We will try several methods for localizing the nodes of epileptic activity with both EEG and MEG: Minimum norm, MUSIC, ICA and Maximum entropy on the mean (MEM). Then network measures will be performed on the estimated time course at each node. The results will be validated with SEEG and compared. The best method will be used to test the impact of tCS in the multicentric clinical trial launched in Galvani.

Required skills:
Electrophysiology, magnetoencephalography or electroencephalography, epilepsy, signal processing, programming in Matlab or Python. Good capacity to work in a team.


Position 4: Software engineer “Software development for network measures” (5 years)


Planned recruitment: March 2020

Objectives: Provide to projects 1, 2 and 3 the software tools and pipelines. Re-use existing software when possible, or program new building blocks within the pipelines. Implement localization and network measures pipelines, on both SEEG and MEG/EEG. Test the robustness of non-invasive chain with respect to source leakage. Construct simulations for testing and benchmarking methods. Ensure that data can be stored in a common framework (BIDS) and implement pipelines so as to be run in an automated way.

Required skills: Signal processing (source localization, time frequency analysis, connectivity measures). Programming in Matlab or Python. Good capacity to work in a team.

Position 5: Study engineer “Stimulation recording and analysis” (5 years)

Planned recruitment: March 2020

Objectives:
Development of specific analysis tools for per/post stimulation. Record data in patients, store the data in the BIDS format thanks to already existing pipelines. Analyse the data and compute statistics for charactering the epileptic nodes in given patients and the impact of stimulation.

Required skills:
Acquisition of electrophysiology. Working with patients. Signal processing. Programming in Matlab or Python would be a plus. Good capacity to work in a team.

Contacts: Christian Bénar (christian.benar@univ-amu.fr) and Fabrice Bartolomei (Fabrice.Bartolomei@ap-hm.fr)

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