PyHRF is a set of tools for within-subject fMRI data analysis, focused on the characterization of the hemodynamics.
Within the chain of fMRI data processing, these tools provide alternatives to the classical within-subject GLM fitting procedure. The inputs are preprocessed images (except spatial smoothing) and the outputs are the contrast maps and the HRF estimates.
The package is mainly written in Python and provides the implementation of the two following methods:
To cite PyHRF and get a comprehensive description, please refer to:
Vincent, T., Badillo, S., Risser, L., Chaari, L., Bakhous, C., Forbes, F., & Ciuciu, P. (2014). Flexible multivariate hemodynamics fMRI data analyses and simulations with PyHRF. Frontiers in Neuroscience, 8. https://doi.org/10.3389/fnins.2014.00067