Brain fiber visualization (PARITAL Team)
© Inria / Photo Kaksonen
A workshop organized as part of the BrainPedia ANR project, the HBP flagship project and the MetaMRI associate team.
Neuroimaging produces huge amounts of complex data that are used to better understand the relations between brain structure and various cognitive functions. In the long term, the results of this field will be used to better understand, characterize, predict and diagnose brain diseases.
Although some aspects of the acquisition and analysis of these data are gradually being standardized, the neuroimaging community is still largely missing appropriate tools to store and organize the knowledge related to the data. As a consequence, there is little data reuse, which implies that the neuroimaging community wastes important resources, and only the corpus of publications gives an account of the accumulated results. Finding a mechanism to gather and update the information on brain structure and function carried by these data is an important challenge, as the images carry much more information than the synthetic account given in the neuroimaging literature.
This workshop will be an opportunity to review current developments on data sharing in functional neuroimaging, the joint analysis of multiple neuroimaging datasets and machine learning tools dedicated to this aim.
To know more about the workshop, visit the Web page at http://nimeta.sciencesconf.org/
