A collaborative platform for multi-scale integration of knowledge on the brain.

Background. LinkRbrain is an open-access web platform for multi-scale data integration and visualization of human brain data. This platform integrates anatomical, functional, and genetic knowledge produced by the scientific community.

New method. The linkRbrain platform has two major components: (1) a data aggregation component that integrates multiple open databases into a single platform with a unified representation; and (2) a website that provides fast multi-scale integration and visualization of these data and makes the results immediately available.

Results. LinkRbrain allows users to visualize functional networks or/and genetic expression over a standard brain template (MNI152). Interrelationships between these components based on topographical overlap are displayed using relational graphs. Moreover, linkRbrain enables comparison of new experimental results with previous published works.

Comparison with existing methods. Previous tools and studies illustrate the opportunities of data mining across multiple tiers of neuroscience and genetic information. However, a global systematic approach is still missing to gather cognitive, topographical, and genetic knowledge in a common framework in order to facilitate their visualization, comparison, and integration.

Copyright © 2015 Elsevier B.V. All rights reserved.

Team

Current members

  • Salma Mesmoudi (Univ. Paris 1), Responsable Scientifique
  • Mathieu Rodic, Web design.

Former members

  • Claudia Cioli
  • Yves Bruno
Context

Equipex Matrice

Étudier les rapports entre mémoire individuelle et mémoire collective, entre le psychique et le social

Les historiens ou les sociologues s’attachent à comprendre comment fonctionne la mémoire d’une société, mais sans jamais s’intéresser sauf exception à ce qui se passe dans le cerveau. A l’inverse les neuroscientifiques s’intéressent aux dynamiques cérébrales de la mémoire mais, pour la plupart, ne s’interrogent pas sur la construction sociale d’une mémoire collective. Nous faisons l’hypothèse qu’il n’est pas possible de comprendre comment fonctionne la mémoire sans prendre en compte tous les aspects dans une approche transdisciplinaire : en un mot faire travailler ensemble les sciences humaines et sociales, les sciences du vivant et de l’ingénierie.

Porteur : HESAM Universités
Coordinateur scientifique : Denis Peschanski – Directeur de recherche au CNRS
Site web : www.matricememory.fr

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