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title tags authors affiliations date bibliography
NiMARE: Neuroimaging Meta-Analysis Research Environment
meta-analysis
fMRI
name affiliation orcid
Taylor Salo
1
0000-0001-9813-3167
name affiliation orcid
Tal Yarkoni
2
0000-0002-6558-5113
name affiliation orcid
Thomas E. Nichols
3
0000-0002-4516-5103
name affiliation orcid
Jean-Baptiste Poline
4
0000-0002-9794-749X
name affiliation orcid
Murat Bilgel
5
0000-0001-5042-7422
name affiliation orcid
Katherine L. Bottenhorn
6
0000-0002-7796-8795
name affiliation orcid
Simon B. Eickhoff
7
0000-0001-6363-2759
name affiliation orcid
Dorota Jarecka
8
0000-0001-8282-2988
name affiliation orcid
James D. Kent
9
0000-0002-4892-2659
name affiliation orcid
Adam Kimbler
1
0000-0001-5885-9596
name affiliation orcid
Dylan M. Nielson
10
0000-0003-4613-6643
name affiliation orcid
Kendra M. Oudyk
11
0000-0003-4087-5402
name affiliation orcid
Julio A. Peraza
12
0000-0003-3816-5903
name affiliation orcid
Alexandre Pérez
11
0000-0003-0556-0763
name affiliation orcid
Puck C. Reeders
1
0000-0002-6401-3017
name affiliation orcid
Julio A. Yanes
13
0000-0002-6620-4351
name affiliation orcid
Angela R. Laird
12
0000-0003-3379-8744
name index
Department of Psychology, Florida International University
1
name index
Twitter
2
name index
Big Data Institute, University of Oxford
3
name index
Neurology and Neurosurgery, McGill University
4
name index
National Institute on Aging
5
name index
University of Southern California
6
name index
Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich
7
name index
Massachusetts Institute of Technology
8
name index
University of Texas, Austin
9
name index
National Institute of Mental Health
10
name index
Montreal Neurological Institute, McGill University
11
name index
Department of Physics, Florida International University
12
name index
National Center for Complementary and Integrative Health, National Institutes of Health
13
05 October 2021
paper.bib

Summary

We present NiMARE (Neuroimaging Meta-Analysis Research Environment; RRID:SCR_017398), a Python library for neuroimaging meta-analyses and meta-analysis-related analyses [@salo_taylor_2022_6091632]. NiMARE is an open source, collaboratively-developed package that implements a range of meta-analytic algorithms, including coordinate- and image-based meta-analyses, automated annotation, functional decoding, and meta-analytic coactivation modeling. By consolidating meta-analytic methods under a common library and syntax, NiMARE makes it straightforward for users to employ the appropriate approach for a given analysis. In this paper, we describe NiMARE's architecture and the methods implemented in the library. Additionally, we provide example code and results for each of the available tools in the library.

A graphical representation of tools and methods implemented in NiMARE.\label{top_level_fig}

Acknowledgements

We would like to thank Yifan Yu and Jérôme Dockès, who provided feedback on the manuscript.

We would also like to thank the NeuroLibre team, including Loic Tetrel, Agah Karakuzu, Elizabeth DuPre, Samir Das, Nikola Stikov, and Pierre Bellec, for their help and support in reviewing and publishing the preprint form of this manuscript.

We would also like to thank Fa Meilong for peer reviewing this manuscript for Aperture.

Funding

This work was partially funded by the National Institutes of Health (NIH) NIH-NIBIB P41 EB019936 (ReproNim), NIH-NIMH R01 MH083320 (CANDIShare), and NIH RF1 MH120021 (NIDM), the National Institute Of Mental Health under Award Number R01MH096906 (Neurosynth), as well as the Canada First Research Excellence Fund, awarded to McGill University for the Healthy Brains for Healthy Lives initiative and the Brain Canada Foundation with support from Health Canada.

Code and Data Availability

All code used for this manuscript is available at https://github.com/NBCLab/nimare-paper.

All data used for this manuscript is available at https://drive.google.com/uc?id=1e5KqMjYbQZYBxc6z760VhdruOoywqkbw.

References