A Python package for doing point process analyses on fMRI data.
Built at Neurohackweek 2017 by:
(Project directory structure organization via Shablona.)
As a first pass, we have implemented the threshold-based point process and avalanche detection methods described in the following paper:
Tagliazucchi, E., Balenzuela, P., Fraiman, D., & Chialvo, D. R. (2012). Criticality in large-scale brain FMRI dynamics unveiled by a novel point process analysis. Frontiers in Physiology, 3, 15. http://doi.org/10.3389/fphys.2012.00015
Asier created an early version of this package in 2015 as a participant in the Google Summer of Code program. He documented his work in a few blog posts:
His original code can be found here.
To test our code during Neurohackweek, in addition to simulated data with known avalanches, we also used openly shared preprocessed fMRI data from OpenNeuro:
- Dataset (associated with this paper, but the acquisition is described here)
- Analysis