Article (Scientific journals)
ANIMA: A data-sharing initiative for neuroimaging meta-analyses
Reid, Andrew T.; Bzdok, Danilo; Genon, Sarah et al.
2016In NeuroImage, 124 (B), p. 1245-1253
Peer Reviewed verified by ORBi
 

Files


Full Text
ANIMA.pdf
Author preprint (2.6 MB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Abstract :
[en] Meta-analytic techniques allow cognitive neuroscientists to pool large amounts of data across many individual task-based functional neuroimaging experiments. These methods have been aided by the introduction of online databases such as Brainmap.org or Neurosynth.org, which collate peak activation coordinates obtained from thousands of published studies. Findings from meta-analytic studies typically include brain regions which are consistently activated across studies for specific contrasts, investigating cognitive or clinical hypotheses. These regions can be subsequently used as the basis for seed-based connectivity analysis, or formally compared to neuroimaging data in order to help interpret new findings. To facilitate such approaches, we have developed a new online repository of meta-analytic neuroimaging results, named the Archive of Neuroimaging Meta-analyses (ANIMA). The ANIMA platform consists of an intuitive online interface for querying, downloading, and contributing data from published meta-analytic studies. Additionally, to aid the process of organizing, visualizing, and working with these data, we present an open-source desktop application called Volume Viewer. Volume Viewer allows users to easily arrange imaging data into composite stacks, and save these sessions as individual files, which can also be uploaded to the ANIMA database. The application also allows users to perform basic functions, such as computing conjunctions between images, or extracting regions-of-interest or peak coordinates for further analysis. The introduction of this new resource will enhance the ability of researchers to both share their findings and incorporate existing meta-analytic results into their own research.
Disciplines :
Neurosciences & behavior
Author, co-author :
Reid, Andrew T.;  Research Centre Jülich
Bzdok, Danilo;  Neurospin > INRIA
Genon, Sarah ;  Université de Liège > Département des sciences cliniques > Neuroimagerie des troubles de la mémoire et révalid. cogn.
Langner, Robert;  Heinrich Heine University Düsseldorf
Müller, Veronika I.;  Heinrich Heine University Düsseldorf
Eickhoff, Claudia R.;  Research Centre Jülich
Hoffstaedter, Felix;  Research Centre Jülich
Cieslik, Edna-Clarisse;  Heinrich Heine University Düsseldorf
Fox, Peter T.;  University of Texas Health Sciences Center at San Antonio
Laird, Angela R.;  Florida International University
Amunts, Katrin;  Heinrich Heine University Düsseldorf
Eickhoff, Simon B.;  Heinrich Heine University Düsseldorf
Language :
English
Title :
ANIMA: A data-sharing initiative for neuroimaging meta-analyses
Publication date :
01 January 2016
Journal title :
NeuroImage
ISSN :
1053-8119
eISSN :
1095-9572
Publisher :
Elsevier Science, Orlando, United States - Florida
Volume :
124
Issue :
B
Pages :
1245-1253
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 10 January 2016

Statistics


Number of views
110 (4 by ULiège)
Number of downloads
569 (1 by ULiège)

Scopus citations®
 
30
Scopus citations®
without self-citations
15
OpenCitations
 
28

Bibliography


Similar publications



Contact ORBi