ANIMA: A data-sharing initiative for neuroimaging meta-analyses

Andrew T. Reid, Danilo Bzdok, Sarah Genon, Robert Langner, Veronika I. Müller, Claudia R. Eickhoff, Felix Hoffstaedter, Edna Clarisse Cieslik, Peter T Fox, Angela R. Laird, Katrin Amunts, Svenja Caspers, Simon B. Eickhoff

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1245-1253
Number of pages9
JournalNeuroImage
Volume124
DOIs
StatePublished - Jan 1 2016

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Information Dissemination
Neuroimaging
Meta-Analysis
Databases
Functional Neuroimaging
Seeds
Research Personnel
Brain
Research

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

Cite this

Reid, A. T., Bzdok, D., Genon, S., Langner, R., Müller, V. I., Eickhoff, C. R., ... Eickhoff, S. B. (2016). ANIMA: A data-sharing initiative for neuroimaging meta-analyses. NeuroImage, 124, 1245-1253. https://doi.org/10.1016/j.neuroimage.2015.07.060

ANIMA : A data-sharing initiative for neuroimaging meta-analyses. / Reid, Andrew T.; Bzdok, Danilo; Genon, Sarah; Langner, Robert; Müller, Veronika I.; Eickhoff, Claudia R.; Hoffstaedter, Felix; Cieslik, Edna Clarisse; Fox, Peter T; Laird, Angela R.; Amunts, Katrin; Caspers, Svenja; Eickhoff, Simon B.

In: NeuroImage, Vol. 124, 01.01.2016, p. 1245-1253.

Research output: Contribution to journalArticle

Reid, AT, Bzdok, D, Genon, S, Langner, R, Müller, VI, Eickhoff, CR, Hoffstaedter, F, Cieslik, EC, Fox, PT, Laird, AR, Amunts, K, Caspers, S & Eickhoff, SB 2016, 'ANIMA: A data-sharing initiative for neuroimaging meta-analyses', NeuroImage, vol. 124, pp. 1245-1253. https://doi.org/10.1016/j.neuroimage.2015.07.060
Reid AT, Bzdok D, Genon S, Langner R, Müller VI, Eickhoff CR et al. ANIMA: A data-sharing initiative for neuroimaging meta-analyses. NeuroImage. 2016 Jan 1;124:1245-1253. https://doi.org/10.1016/j.neuroimage.2015.07.060
Reid, Andrew T. ; Bzdok, Danilo ; Genon, Sarah ; Langner, Robert ; Müller, Veronika I. ; Eickhoff, Claudia R. ; Hoffstaedter, Felix ; Cieslik, Edna Clarisse ; Fox, Peter T ; Laird, Angela R. ; Amunts, Katrin ; Caspers, Svenja ; Eickhoff, Simon B. / ANIMA : A data-sharing initiative for neuroimaging meta-analyses. In: NeuroImage. 2016 ; Vol. 124. pp. 1245-1253.
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