Large Small Brain Nets

Team Presentation

Large Brain Nets is a bi-lateral project focused on "Characterizing Large-scale Brain Networks in Typical and Atypical Populations Using Novel Computational Methods for dMRI and fMRI-based Connectivity". The team is funded by the Inria Associate Teams programme within the Inria@SiliconValley project.

Research Goals

The major goal of this project is to develop and validate sophisticated computational tools for identifying functional nodes at the whole-brain level and measuring structural and functional connectivity between them, using state-of-the-art human brain MR imaging techniques and open-source datasets such as Human Connectome Project data. Our proposed methods will reveal in unprecedented detail the structural and functional connectivity of the human brain. Furthermore, our innovative computational approach to brain connectomics will help create the building blocks for shaping the next generation of research on brain function and psychopathology.

Partners

Parietal, Inria, France

Stanford Cognitive & Systems Neuroscience Lab, Stanford Medical School, USA

External Collaborators

Publications