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Hemodynamic Response Function (HRF) estimation from functional MRI data

Update March 2018: This package is provided with the hope that it is useful for reproducing the experiments in the papers mentioned below. It is however not actively maintained

This is a Python package that implements several methods for the joint estimation of HRF and activation patterns (aka beta-map) from fMRI (BOLD) signal.

If you use this software, please cite (at least) one of the following papers

"Data-driven HRF estimation for encoding and decoding models", Fabian Pedregosa, Michael Eickenberg, Philippe Ciuciu, Bertrand Thirion and Alexandre Gramfort. URL: http://hal.inria.fr/hal-00952554/en

"HRF estimation improves sensitivity of fMRI encoding and decoding models", Fabian Pedregosa, Michael Eickenberg, Bertrand Thirion and Alexandre Gramfort. URL: http://hal.inria.fr/hal-00821946/en

https://raw.github.com/fabianp/hrf_estimation/master/doc/estimation_natural_images.png

Installation

hrf_estimation is a pure Python package and can be installed through the Python Package Index (PYPI):

pip install -U hrf_estimation

You can also download the source code from the PYPI website or get the latest sources from github

Documentation

Documentation and function reference is available at https://pythonhosted.org/hrf_estimation/

Development

The newest version can alway be grabbed from the git repository. Feel free to submit issues or patches.

Authors

Fabian Pedregosa <f@bianp.net>

Michael Eickenberg <michael.eickenberg@nsup.org>

Thanks to

Yaroslav Halchenko, Bug reports

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