A whole new bunch of publications !

Several papers have been published in 2020 without being announced here. See the list on publication sections !

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New publication

Some members of MeCA are part of the PRIMatE Data Exchange (PRIME-DE) Global Collaboration Workshop and Consortium, and are coauthor of the recent paper published in Neuron and presenting the future of the PRIME-DE initiative. See the Publications section.

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New Doctors !

Two new doctors in the team ! Congratulations to Clémentine Bodin and Alexandre Pron who successfully defended their PhD recently. Alexandre defended on November 15, 2019. His thesis is entitled: « Étude de la connectivité structurelle des faisceaux d’association courts de la substance blanche du cerveau humain en IRM de diffusion » Clémentine defended on December 6, …

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New paper

Another paper from Julien and his collaborators (F. De Guio, D. Germanaud), to appear in Frontiers in Neurology. See Publication section.

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New Frontiers paper: diffusion imaging

 We have a new paper in « Frontiers in Neuroscience: Brain Imaging Methods« . Great work from Lucile Brun, Alexandre Pron and Julien Sein, looking at the imact of acquisition and pre-processing methods in diffusion MRI. See the publication section.

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Three new publications

Congratulations to Julien and Amine who scored three new papers at once in the context of their FRM project in collaboration with F. Rousseau on the topic of cortical development and neonatal stroke. One of the papers appears in Developmental Biology. The two other ones will be presented at the EMBC conference in Berlin (July …

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A whole new bunch of publications !New publicationNew Doctors !New paperNew Frontiers paper: diffusion imagingThree new publications

MeCA

The Methods and Computational Anatomy group is an interdisciplinary research team at the ‘Institut de Neurosciences de la Timone‘ (INT), in Marseille, France. It was originally setup in May 2014 as the result of a collaboration between INT and the ‘Laboratoire des Sciences de l’Information et des Systèmes‘ (LSIS), and is now a full INT team.

The scientific goal of MeCA is the quantification and modelling of cortical variability and development, and their link with white matter connectivity, using mostly magnetic resonance imaging on human and non-human primates.

Specifically we aim at:

  • quantifying and modelling cortical variability and organization.
  • quantifying and modelling cortical development.
  • Studying the link between anatomy, function, and connectivity.
  • Developping cortical and white matter morphometry tools and applying them on large databases.