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The pyNIBS documentation.
=========================
**pyNIBS** is a Pyhon package to work with non-invasive brain stimulation (NIBS) data, foremost from transcranial magnetic stimulation (TMS) experiments.
We created this package to allow the mapping of causal structure-function relationships with TMS. A lot of analyses is based on calculations of the induced electric fields (e-fields) -- for this we rely on `SimNIBS `_.
Install **pyNIBS** via `pip `_:
.. code-block:: bash
pip install pynibs
or directly grab from our repository at `gitlab.gwdg.de/tms-localization/pynibs `_
Contents.
=========
.. toctree::
:maxdepth: 1
pynibs
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
References.
===========
- Weise, K., Numssen, O., Thielscher, A., Hartwigsen, G., & Knösche, T. R. (2020). A novel approach to localize cortical TMS effects. Neuroimage, 209, 116486. doi: `10.1016/j.neuroimage.2019.116486 `_)
- Numssen, O., Zier, A. L., Thielscher, A., Hartwigsen, G., Knösche, T. R., & Weise, K. (2021). Efficient high-resolution TMS mapping of the human motor cortex by nonlinear regression. NeuroImage, 245, 118654. doi:`10.1016/j.neuroimage.2021.118654 `_)
- Weise, K., Numssen, O., Kalloch, B., Zier, A. L., Thielscher, A., Hartwigsen, G., Knösche, T. R. (2022). Precise transcranial magnetic stimulation motor-mapping. Nature Protocols (in press). doi: `10.1038/s41596-022-00776-6 `_