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Published March 19, 2025 | Version 0.0.1
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Coord2Region: A Python Package for Mapping 3D Brain Coordinates to Anatomy and Function

Authors/Creators

  • 1. Cognitive and Computational Neuroscience Laboratory (CoCo Lab), Psychology Department, University of Montreal, Montreal, QC, Canada
  • 2. ROR icon Mila - Quebec Artificial Intelligence Institute
  • 3. Institute for Applied Mathematics Mauro Picone, National Research Council, 00185 Rome, Italy
  • 4. Psychology Department, University of Montreal, Montreal, QC, Canada
  • 5. UNIQUE Center (Quebec Neuro-AI Research Center), Montreal, QC, Canada

Description

Coord2Region is an open-source Python package designed to simplify neuroimage workflows by automatically mapping 3D coordinates in brain space (e.g. MNI or Talairach) to anatomical brain regions across multiple widely used atlases. This package supports both single-coordinate and high-throughput batch queries. Furthermore, it integrates smoothly with external meta-analytic resources through the Neuroimaging Meta-Analysis Research Environment (NiMARE), which includes Neurosynth and NeuroQuery databases. By streamlining methods to associate 3D brain coordinates with a range of anatomical and functional labels, Coord2Region promotes robust and reproducible research practices in neuroimaging.

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Additional details

Dates

Submitted
2025-03-19

Software

Repository URL
https://github.com/BabaSanfour/Coord2Region.git
Programming language
Python
Development Status
Active

References

  • [1] Desikan, R. S., et al. (2006). A new MRI-based parcellation of the human cerebral cortex.
  • [2] Talairach, J., & Tournoux, P. (1988). Co-Planar Stereotaxic Atlas of the Human Brain.
  • [3] Yeo, B. T. T., et al. (2011). The organization of the human cerebral cortex estimated by intrinsic functional connectivity.
  • [4] Gramfort, A., et al. (2013). MEG and EEG data analysis with MNE-Python. Frontiers in Neuroscience.
  • [5] Yarkoni, T., Poldrack, R., Nichols, T. et al. Large-scale automated synthesis of human functional neuroimaging data. Nat Methods 8, 665–670 (2011)
  • [6] Dockès, J., Poldrack, R. A., Primet, R., Gözükan, H., Yarkoni, T., Suchanek, F., Thirion, B., & Varoquaux, G. (2020). NeuroQuery, comprehensive meta-analysis of human brain mapping. eLife, 9, e53385.
  • [7] Salo, T., Yarkoni, T., Nichols, T. E., Poline, J. B., Bilgel, M., Bottenhorn, K. L., ... & Laird, A. R. (2022). NiMARE: neuroimaging meta-analysis research environment. NeuroLibre, 1(1), 7.