A Python library for coordinate- and image-based meta-analysis.
Currently, NiMARE implements a range of image- and coordinate-based meta-analytic algorithms, as well as several methods for advanced meta-analytic methods, like automated annotation and functional decoding.
Please see our installation instructions for information on how to install NiMARE.
pip install nimare
pip install git+https://github.com/neurostuff/NiMARE.git
If you use NiMARE in your research, we recommend citing the Zenodo DOI associated with the NiMARE version you used, as well as the Aperture Neuro journal article for the NiMARE Jupyter book. You can find the Zenodo DOI associated with each NiMARE release at https://zenodo.org/record/6642243#.YqiXNy-B1KM.
# This is the Aperture Neuro paper.
@article{Salo2023,
doi = {10.52294/001c.87681},
url = {https://doi.org/10.52294/001c.87681},
year = {2023},
volume = {3},
pages = {1 - 32},
author = {Taylor Salo and Tal Yarkoni and Thomas E. Nichols and Jean-Baptiste Poline and Murat Bilgel and Katherine L. Bottenhorn and Dorota Jarecka and James D. Kent and Adam Kimbler and Dylan M. Nielson and Kendra M. Oudyk and Julio A. Peraza and Alexandre Pérez and Puck C. Reeders and Julio A. Yanes and Angela R. Laird},
title = {NiMARE: Neuroimaging Meta-Analysis Research Environment},
journal = {Aperture Neuro}
}
# This is the Zenodo citation for version 0.0.11.
@software{salo_taylor_2022_5826281,
author = {Salo, Taylor and
Yarkoni, Tal and
Nichols, Thomas E. and
Poline, Jean-Baptiste and
Kent, James D. and
Gorgolewski, Krzysztof J. and
Glerean, Enrico and
Bottenhorn, Katherine L. and
Bilgel, Murat and
Wright, Jessey and
Reeders, Puck and
Kimbler, Adam and
Nielson, Dylan N. and
Yanes, Julio A. and
Pérez, Alexandre and
Oudyk, Kendra M. and
Jarecka, Dorota and
Enge, Alexander and
Peraza, Julio A. and
Laird, Angela R.},
title = {neurostuff/NiMARE: 0.0.11},
month = jan,
year = 2022,
publisher = {Zenodo},
version = {0.0.11},
doi = {10.5281/zenodo.5826281},
url = {https://doi.org/10.5281/zenodo.5826281}
}
To cite NiMARE in your manuscript, we recommend something like the following:
We used NiMARE v0.0.11 (RRID:SCR_017398; Salo et al., 2022a; Salo et al., 2022b).
Please see our contributing guidelines for more information on contributing to NiMARE.
We ask that all contributions to NiMARE
respect our code of conduct.