NiMARE: Neuroimaging Meta-Analysis Research Environment
Taylor Salo, Tal Yarkoni, Thomas E. Nichols, Jean‐Baptiste Poline, Murat Bilgel, Katherine L. Bottenhorn, Simon B. Eickhoff, Dorota Jarecka, James D. Kent, Adam Kimbler, Dylan M. Nielson, Kendra Oudyk, Julio A. Peraza, Alexandre Perez-Lebel, Puck C. Reeders, Julio A. Yanes, Angela R. Laird
Abstract
We present NiMARE (Neuroimaging Meta‑Analysis Research Environment; RRID:SCR_0173981), a Python library for neuroimaging meta‑analyses and metaanalysis‑related analyses. 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.