neuromaps

.. image:: neuromaps_logo.png

The neuromaps toolbox is designed to help researchers make easy, statistically-rigorous comparisons between brain maps (or brain annotations).

The accompanying paper is published in Nature Methods <https://www.nature.com/articles/s41592-022-01625-w>_.

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5842499.svg :target: https://doi.org/10.5281/zenodo.5842499

Installation requirements

Currently, neuromaps works with Python 3.7+ and requires a few dependencies:

• matplotlib
• nibabel (>=3.0)
• nilearn (>=0.7)
• numpy (>=1.14)
• scikit-learn (>=0.17)
• scipy

You can get started by installing neuromaps from the source repository with:

.. code-block:: bash

git clone https://github.com/netneurolab/neuromaps
cd neuromaps
pip install .

You will also need to have Connectome Workbench <https://www.humanconnectome. org/software/connectome-workbench>_ installed and available on your path in order to use most of the transformation / resampling functionality of neuromaps.

.. _installation:

Citation

If you use the neuromaps toolbox, please cite our paper <https://www.nature.com/articles/s41592-022-01625-w>_. If you use data included in the neuromaps repository, be sure to cite the original paper that published this data. A table with references for each brain map can be found in the Wiki.

License information

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License cc-by-nc-sa. The full license can be found in the LICENSE <https://github.com/netneurolab/neuromaps/blob/main/neuromaps /LICENSE>_ file in the neuromaps distribution.