Création d'un atlas cérébral incrémentable et multimodal : faisceaux de fibres blanches, sites fonctionnels, métabolome et histologie. // Creation of an incremental and multimodal brain atlas: white matter fiber tracts, functional sites, metabolome, and h

Notre groupe produit des données concernant le cerveau: métabolomiques, histologiques, anatomiques et fonctionnelles (stimulation électrique peropératoire) dont la fusion permettrait une meilleure cartographie multi-modale. La localisation spatiale de ces stimulations est établie visuellement sur la base de photographie de la cavité opératoire. Afin d'améliorer cette méthode subjective et peu reproductible, nous proposons d'adapter la méthode FIBRASCAN, qui permet une reconstruction anatomique de dissection spécimens (post-mortem) avec des acquisitions itératives de surface (scanner laser + photo). Plusieurs méthodes alternatives d'acquisition seront évaluées, puis la reconstruction surfacique sera réalisée lors de chirurgies éveillées par la ou les méthodes validée(s). Enfin, un atlas multi-sujets et multimodal sera développé, incluant l'ensemble de ces données: métabolomiques, histologiques, anatomiques et fonctionnelles et qui sera incrémentable et diffusé à la communauté.
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Our group generates multimodal datasets with complex interpretative challenges in the absence of a shared reference framework: regularly sampled post-mortem human brain metabolomic data, histological data, and functional data derived from intraoperative electrical stimulation during tumor resection performed under awake surgery. Currently, the spatial localization of stimulation sites is established by the surgeon, based on a photograph of the operative cavity taken at the end of resection, showing the stimulation points. This method, from which an extensive body of literature has emerged, is subjective, poorly reproducible, and highly dependent on anatomical expertise. We propose to improve this approach through surface acquisitions of the surgical field, derived from the FIBRASCAN method developed by our group. This method enables precise reconstruction of white matter fiber tracts from the dissection of post-mortem anatomical specimens within an MRI volume. Several alternative techniques adapted to the intraoperative setting will be evaluated (surface scanning technologies used in oral and dental surgery and photogrammetry). An individual atlas will then be constructed (one individual/one modality). For functional responses, stimulation sites will be mapped onto the preoperative MRI following realignment of pre- and postoperative data. For metabolomic and histological data, values will be registered to the MRI acquired prior to brain sectioning. In a second step, the individual atlases from these different modalities will be transformed into a common anatomical reference space (MNI template). Ultimately, this framework will be made available to the scientific community, enabling the integration of data from multiple teams using the same methodologies and the aggregation of anatomical data (MRI-based white matter tractography), functional data (stimulation sites and evoked responses), microscopic data (histology), and molecular data (metabolomics).
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Début de la thèse : 01/10/2026

Financement d'une collectivité locale ou territoriale

Université de Tours

549 Santé, Sciences Biologiques et Chimie du Vivant - SSBCV

Connaissances/compétences souhaitées: Anatomie cérébrale Programmation (python) Imagerie médicale Recalage images Neuroimagerie
Desired knowledge/skills: Brain anatomy Programming (Python) Medical imaging Image registration Neuroimaging