Computational Imaging of the Central Nervous System
Computational Imaging of the Central Nervous System

Our objective is to explore the Central Nervous System (CNS) through computational imaging, by putting the emphasis on signal and image recording from Diffusion Magnetic Resonance Imaging (D-MRI), Magneto-Encephalography (MEG) and Electro-Encephalography (EEG). Our strategy for measuring and processing the CNS (brain and spinal cord) functional and anatomical connectivities is based on the following road map:

  • Develop rigorous mathematical and computational tools for the analysis and interpretation of Diffusion MRI and MEG and EEG data.
  • Improve acquisition and processing techniques and push forward the state-of-the-art in Computational CNS imaging.
  • Use our expertise to address with collaborators clinical and neuroscience questions.

In order to further increase the impact of our research, we also aim to push our contributions towards some selected applications related to some important CNS diseases, neuroscience questions and Brain Computer Interface applications.

Centre(s) inria


Team leader

Claire Senica

Team assistant