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LinkRbrain: Multi-scale data integrator of the brain

Authors :
Yves Burnod
Mathieu Rodic
Salma Mesmoudi
Jean-Philippe Cointet
Tal Yarkoni
Claudia Cioli
MATRICE Project (ISC-PIF)
Sorbonnes university Paris 1
Laboratoire d'Imagerie Biomédicale (LIB)
Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)
Sciences en Société (SenS)
Institut National de la Recherche Agronomique (INRA)
Department of Psychology
University of Texas at Austin [Austin]
Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
National Agency for research (ANR 'Investissement Avenir')
MATRICE project
Administateur, HAL Sorbonne Université
Université Paris 1 Panthéon-Sorbonne (UP1)
Laboratoire d'Imagerie Biomédicale [Paris] (LIB)
Outils de recherche pour l'analyse de la mémoire par la coopération internationale et les expérimentations. Entre mémoire individuelle et mémoire sociale: les outils et nécessités de l'innovation [En savoir plus]MATRICE - ANR-10-EQPX-0021EQPX - 2010
ANR-10-EQPX-0021,MATRICE,Outils de recherche pour l'analyse de la mémoire par la coopération internationale et les expérimentations. Entre mémoire individuelle et mémoire sociale: les outils et nécessités de l'innovation(2010)
Source :
Journal of Neuroscience Methods, Journal of Neuroscience Methods, Elsevier, 2015, 241, pp.44-52. ⟨10.1016/j.jneumeth.2014.12.008⟩, Journal of Neuroscience Methods, 2015, 241, pp.44-52. ⟨10.1016/j.jneumeth.2014.12.008⟩
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

International audience; BackgroundLinkRbrain 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 methodThe 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.ResultsLinkRbrain 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 methodsPrevious 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.ConclusionsLinkRbrain is an efficient open-access tool that affords an integrative understanding of human brain function.

Details

Language :
English
ISSN :
01650270
Database :
OpenAIRE
Journal :
Journal of Neuroscience Methods, Journal of Neuroscience Methods, Elsevier, 2015, 241, pp.44-52. ⟨10.1016/j.jneumeth.2014.12.008⟩, Journal of Neuroscience Methods, 2015, 241, pp.44-52. ⟨10.1016/j.jneumeth.2014.12.008⟩
Accession number :
edsair.doi.dedup.....b87eb52facb016bc6608b2b5ddb35590
Full Text :
https://doi.org/10.1016/j.jneumeth.2014.12.008⟩