Offre proposée par
Master 2 intern in clinical neuroscience H/F
OrganisationThe French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.
Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.
The CEA is established in ten centers spread throughout France
Description de l'unité
The inDEV team focuses on the characterization of the anatomical and functional variability of brain development, in close relationship to neurological and cognitive functions, from birth to adolescence, longitudinally whenever possible, in selected pathological conditions and in close link with the typical development dynamics. We use a multimodal approach combining various biomarkers, both behavioral and imaging (advanced MRI, PET-MRI, High density EEG, functional Ultrasound). The pathological models studied do share an early determinism, either pre- or perinatal : embryo-fœtopathy caused by prenatal alcohol exposure, early malformations of cortical development, various conditions of the 3rd trimester of pregnancy (premature birth, intra-uterine growth restriction…), perinatal brain injuries (with/without cerebral palsy), and early language disorders (oral and written language) with their family predisposition.
The team is localized on 2 sites, Robert Debré University Hospital (APHP, Paris) and NeuroSpin (Neuroimaging research center, CEA-Saclay), to optimize interactions between clinical and basic research, for the sake of studying pediatric cohorts of fragile patients at Robert Debré Hospital. Interactions are facilitated by the use of similar imaging equipment on both sites (3T MRI and EEG), while benefitting from advanced data acquisition/analysis methodologies at NeuroSpin (7T MRI, MEG, neurocomputational approaches, biomathematics, in silico models…).
Biomedical research, clinical and pre-clinical
Master 2 intern in clinical neuroscience H/F
Towards new callosal markers in fetal alcohol spectrum disorders: a multimodal MRI approach
Contract duration (months)
Alcohol-related neurodevelopmental disorders are a leading cause of cognitive and behavioral disability, still under recognized in our country, partly due to the difficulty and lack of specificity of the fetal alcohol spectrum disorder (FASD) clinical diagnosis in the absence of the whole malformative features of fetal alcohol syndrome (FAS). Besides, their prognosis remains largely unpredictable from clinical and exposure features. Brain size is steadily affected in FASD, with occasional macroscopic damage of anatomical structures such as corpus callosum hypogenesis, prompting the search for neuroanatomical markers of the disease.
On the basis of a large clinical series of FASD patients and controls with high resolution T1- and diffusion-weighted MRI (T1w MRI, DWI), introducing scale-sensitive modeling, we recently showed that the typical relation between brain size and anatomical proportions were disturbed in FASD. Meanwhile, we also proposed a new segmentation process for the medial sagittal section of the corpus callosum (ssCC), combining T1w anatomy and tractography to project a sulcal-based radial segmentation of the cortex on the ssCC and defining 7 anterior-posterior callosal regions.
Within an increased dataset, already acquired, from the same pediatric series (80 FASD, 40 controls), the proposed M2 research project is to apply the new callosal segmentation developed on controls to the patients. The variations in callosal morphology will first be analyzed with scale-sensitive models taking into account the inhomogeneous hemispheric size reduction in patients, and secondly correlated to the diffusion parameters (mean, longitudinal and transverse diffusivity, anisotropy) computed in the callosal parcels.
Image processing will involve a combination of cutting edge tools form different open and home- developed toolboxes (FSL, MRtrix3, BrainVISA), modeling and statistical analysis will be performed with R and/or Python language and libraries.
The results will be confronted to the clinical characteristics of the patients with the prospect of unveiling new callosal markers of the diagnostic form or the functional prognosis of FASD.
Methods / Means
Structural MRI, Diffusion MRI / FSL, MRtrix3, BrainVISA, Python, R
France, Ile-de-France, Essonne (91)
- English (Intermediate)
- French (Beginner)
Bac+5 - Master 2
Master 2 neurosciences ou école d'ingénieurs
Position start date