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Annonce

6 mars 2020

Post-doc/PhD “Characterize epileptic oscillations at several scales” (3 years)


Catégorie : Proposition de poste


Planned recruitment: March 2020

Rationale: The methods for detecting high frequency oscillations have been developed for intracerebral stereotaxic EEG (SEEG) at a spatial scale which is intermediate between micro contacts and surface EEG. The detection of micro scales HFOs as planned in the NEURO-SENSE project requires an adaptation of the existing for these new conditions of noise and artefacts. Moreover, the characterization of the link between the scales (micro and classical SEEG) requires developing network methods that measure the connectivity between the spatial scales (potentially at different frequencies).

Objectives: Adapt the existing time-frequency methods (Roehri et al IEEE TBME 2016) to the micro recordings. Characterize the oscillations on the data to be acquired in NEURO-SENSE (micro recordings with new electrodes in animal models)

Methods: We will use existing micro recordings data and simulations (Roehri et al Plos one 2017) to develop the new time-frequency algorithms. New connectivity measures will be developed, potentially including co-occurrence of detections (Bourien et al 2005, Malinowska et al 2014).

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

Contact: Christian Benar (christian.benar@univ-amu.fr)

Post-doc/PhD “Characterize epileptic oscillations at several scales” (3 years)

NEURO-SENSE ANR Technology for Health

Context
NEURO-SENSE is an ANR “Technology for health” project (https://anr.fr/Project-ANR-18-CE19-0013).
The objective of the NEURO-SENSE project is to increase the diagnostic value and routine use of high frequency oscillations on intracerebral EEG as a reliable marker of the epileptogenic zones (EZ). Pathological high-frequency oscillations (HFOs) are short-duration (a few tens of ms), low-amplitude signals occurring in intracerebral electroencephalographic recordings (stereoelectroencephalography, SEEG) in a specific frequency band (250-600 Hz). They can be characterized using signal processing techniques based on time-frequency analysis (Roehri et al 2016, 2017, 2018).

In the NEURO-SENSE project, we will develop novel extracellular electrodes can be designed in order to optimize the recording and the detection of pathological HFOs in brain signals. The first specific aim is to develop new “hybrid” computational models integrating biophysical information regarding the electrode form factor and electrode-tissue interface. The second specific aim is to build and test novel small-scale (10-100 µm) field electrodes optimized for HFO recording in vivo. The third specific aim is to propose high-performance detection algorithms to specifically extract pathological HFOs from local field potentials. This job offer concerns the third aim.


Scientific Environment
NEURO-SENSE involves three partners: LTSI-Inserm (Rennes), BEL (Gardannes) and Aix-Marseille University (Marseille). This consortium combines unique expertise in signal processing and modelling in epilepsy, and drafting electrodes of a new generation.
The position will be located within the DYNAMAP research team (dir Ch Bénar, https://ins-amu.fr/dynamap) of the Institut de Neurosciences des Systèmes (INS, INSERM AMU 1106, dir V Jirsa). DYNAMAP is a multidisciplinary team grouping engineers and clinicians, and is specialized in the analysis of electrophysiological signals (SEEG, MEG, EEG) and characterization of epileptic networks. The team is strongly linked to the Epileptology and Cerebral Rhythmology department (Head Pr F Bartolomei) of the Timone hospital in Marseille with a strong expertise in SEEG explorations.


We are looking for a candidate (PhD or Postdoc) that can complement and extend the DYNAMAP team’s expertise in the NEURO-SENSE project.

Planned recruitment: March 2020

Rationale: The methods for detecting high frequency oscillations have been developed for intracerebral stereotaxic EEG (SEEG) at a spatial scale which is intermediate between micro contacts and surface EEG. The detection of micro scales HFOs as planned in the NEURO-SENSE project requires an adaptation of the existing for these new conditions of noise and artefacts. Moreover, the characterization of the link between the scales (micro and classical SEEG) requires developing network methods that measure the connectivity between the spatial scales (potentially at different frequencies).

Objectives: Adapt the existing time-frequency methods (Roehri et al IEEE TBME 2016) to the micro recordings. Characterize the oscillations on the data to be acquired in NEURO-SENSE (micro recordings with new electrodes in animal models)

Methods: We will use existing micro recordings data and simulations (Roehri et al Plos one 2017) to develop the new time-frequency algorithms. New connectivity measures will be developed, potentially including co-occurrence of detections (Bourien et al 2005, Malinowska et al 2014).

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

Contact: Christian Benar (christian.benar@univ-amu.fr)

 

Contact: Christian Benar (christian.benar@univ-amu.fr)

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