Literature DB >> 26455807

The Brainomics/Localizer database.

Dimitri Papadopoulos Orfanos1, Vincent Michel2, Yannick Schwartz3, Philippe Pinel4, Antonio Moreno4, Denis Le Bihan5, Vincent Frouin5.   

Abstract

The Brainomics/Localizer database exposes part of the data collected by the in-house Localizer project, which planned to acquire four types of data from volunteer research subjects: anatomical MRI scans, functional MRI data, behavioral and demographic data, and DNA sampling. Over the years, this local project has been collecting such data from hundreds of subjects. We had selected 94 of these subjects for their complete datasets, including all four types of data, as the basis for a prior publication; the Brainomics/Localizer database publishes the data associated with these 94 subjects. Since regulatory rules prevent us from making genetic data available for download, the database serves only anatomical MRI scans, functional MRI data, behavioral and demographic data. To publish this set of heterogeneous data, we use dedicated software based on the open-source CubicWeb semantic web framework. Through genericity in the data model and flexibility in the display of data (web pages, CSV, JSON, XML), CubicWeb helps us expose these complex datasets in original and efficient ways.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Database; Imaging genetics; Semantic web

Mesh:

Year:  2015        PMID: 26455807     DOI: 10.1016/j.neuroimage.2015.09.052

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  3 in total

1.  Neuroimaging, Genetics, and Clinical Data Sharing in Python Using the CubicWeb Framework.

Authors:  Antoine Grigis; David Goyard; Robin Cherbonnier; Thomas Gareau; Dimitri Papadopoulos Orfanos; Nicolas Chauvat; Adrien Di Mascio; Gunter Schumann; Will Spooren; Declan Murphy; Vincent Frouin
Journal:  Front Neuroinform       Date:  2017-03-16       Impact factor: 4.081

2.  Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping.

Authors:  Ana Luísa Pinho; Alexis Amadon; Torsten Ruest; Murielle Fabre; Elvis Dohmatob; Isabelle Denghien; Chantal Ginisty; Séverine Becuwe-Desmidt; Séverine Roger; Laurence Laurier; Véronique Joly-Testault; Gaëlle Médiouni-Cloarec; Christine Doublé; Bernadette Martins; Philippe Pinel; Evelyn Eger; Gaël Varoquaux; Christophe Pallier; Stanislas Dehaene; Lucie Hertz-Pannier; Bertrand Thirion
Journal:  Sci Data       Date:  2018-06-12       Impact factor: 6.444

3.  Subject-specific segregation of functional territories based on deep phenotyping.

Authors:  Ana Luísa Pinho; Alexis Amadon; Murielle Fabre; Elvis Dohmatob; Isabelle Denghien; Juan Jesús Torre; Chantal Ginisty; Séverine Becuwe-Desmidt; Séverine Roger; Laurence Laurier; Véronique Joly-Testault; Gaëlle Médiouni-Cloarec; Christine Doublé; Bernadette Martins; Philippe Pinel; Evelyn Eger; Gaël Varoquaux; Christophe Pallier; Stanislas Dehaene; Lucie Hertz-Pannier; Bertrand Thirion
Journal:  Hum Brain Mapp       Date:  2020-12-24       Impact factor: 5.399

  3 in total

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