title: LinkRbrain: multi-scale data integrator of the brain.
abstract: 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.
  
  
  METHODS
  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.
  
  
  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.
  
  
  CONCLUSIONS
  LinkRbrain is an efficient open-access tool that affords an integrative understanding of human brain function.
authors.affiliation: Sorbonnes University Paris 1, MATRICE Project, ISC-PIF, 113, rue Nationale, 75013 Paris, France. Electronic address: salma.mesmoudi@iscpif.fr.
authors.forename: Salma
authors.initials: S
authors.lastname: Mesmoudi
authors.affiliation: Sorbonnes University Paris 1, MATRICE Project, ISC-PIF, 113, rue Nationale, 75013 Paris, France.
authors.forename: Mathieu
authors.initials: M
authors.lastname: Rodic
authors.affiliation: Sorbonne University, UPMC Univ Paris 06, Laboratoire Imagerie Biomedicale, ISC-PIF, 75013 Paris, France.
authors.forename: Claudia
authors.initials: C
authors.lastname: Cioli
authors.affiliation: INRA-SenS, IFRIS/UPEM - Cité Descartes 5 boulevard Descartes Champs sur Marne, 77454 Marne-la-Vallée Cedex 2, France.
authors.forename: Jean-Philippe
authors.initials: JP
authors.lastname: Cointet
authors.affiliation: University of Texas at Austin, Department of Psychology, United States.
authors.forename: Tal
authors.initials: T
authors.lastname: Yarkoni
authors.affiliation: Sorbonne University, UPMC Univ Paris 06, Laboratoire Imagerie Biomedicale, ISC-PIF, 75013 Paris, France.
authors.forename: Yves
authors.initials: Y
authors.lastname: Burnod
mesh_terms: D001921:Brain / Q000033:anatomy & histology / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods / Q000639:trends*; D057225:Data Mining / Q000379:methods / Q000639:trends*; D016208:Databases, Factual / Q000639:trends*; D020869:Gene Expression Profiling / Q000379:methods / Q000639:trends*; D006801:Humans; D020407:Internet / Q000639:trends; D008279:Magnetic Resonance Imaging / Q000379:methods / Q000639:trends; D016571:Neural Networks, Computer; D012984:Software / Q000639:trends
keywords: Anatomo-functional; Complex systems; Genetics; Integrative; Multi-scale; Open databases; Platform