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To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

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You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

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These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

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Imagerie IRM

Image IRM de tenseur de diffusion
© Ella

Nous développons des approches d'imagerie cérébrale, principalement sur le modèle ovin sur la plateforme CIRE du laboratoire (IRM clinique 3T Siemens Verio). Après avoir mis au point les outils nécessaires à nos études (template, cartes de probabilités, atlas, routines informatiques...) nous sommes maintenant capables d'effectuer l'ensemble des modalités d'acquisition d'image, à savoir imagerie anatomique (T1, T2...) et approches associées (voxel-based morphometry...), imagerie fonctionnelle, imagerie de tenseur de diffusion et spectrométrie RMN. Par ailleurs, nous utilisons également différents agents de contraste (fluorinert©, imagerie du manganèse...). Ces approches présentent le grand avantage de pouvoir être effectué in vivo, permettant un suivi longitudinal des animaux. Par ailleurs des analyses ex-vivo sont également possibles. Une fois les données acquises, nous avons mis au point les approches d'analyse d'image et du signal nécessaires à la quantification des paramètres recherchés.

Il nous arrive par ailleurs d'utiliser ces approches sur des modèles rongeurs qui nécessitent l'utilisation de machines expérimentales et non cliniques présentes au sein d'autres plateformes. Dans ce cadre, nous collaborons avec la plateforme IRM du Centre de Biophysique d'Orléans.