NiMARE: Neuroimaging Meta-Analysis Research Environment

Published in NeuroLibre Reproducible Preprint Server, 2022

Taylor Salo, Tal Yarkoni, Thomas Nichols, Jean-Baptiste Poline, Murat Bilgel, Katherine Bottenhorn, Dorota Jarecka, James Kent, Adam Kimbler, Dylan Nielson, Kendra Oudyk, Julio Peraza, Alexandre Pérez, Puck Reeders, Julio Yanes, Angela Laird, "NiMARE: Neuroimaging Meta-Analysis Research Environment." NeuroLibre Reproducible Preprint Server, 2022.


Abstract

We present NiMARE (Neuroimaging Meta-Analysis Research Environment; RRID:SCR_017398), a Python library for neuroimaging meta-analyses and meta-analysis-related analyses (Salo et al., 2022). 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.

Access paper here