Hi Alex, Congratulations on the release and thank you for sharing! Make sure that you tell [email protected] too.
Best, Elef On Tue, Jan 28, 2025 at 9:41 AM Alex Crimi via DIPY <[email protected]> wrote: > > Dear all, > > I did a thing last week. It is not so much for dipy, but I guess some > people here are working also on functional data. > I made a general Python package for brain effective connectivity: > https://pypi.org/project/effconnpy/ > > you can install it with "pip install effconnpy", or via git: > https://github.com/alecrimi/effconnpy > > It assumes you have preprocessed the fMRI data with fMRIprep or > somethingelse, and you have extracted the time series according to an atlas. > The result is a brain effective connectivity matrix. The idea is to build > something consistent more people as possible can agree. I tested it > on fMRI series, I didn't have time to check fro EEG or something else. > > The implemented methods includes: > > Bivariate Granger Causality, Transfer Entropy, and Convergent Cross Mapping > > Dynamic Bayesian Network, Structural Equation Modeling, DoWhy Causal > Discovery, and Dynamic Causal Modeling (SPM free :-) ) > > Multivariate Granger Causality as in Barnett & Seth 2014, Multivariate > Convergent Cross-Mapping (CCM) as in Nithya & Tangirala 2019, multivariate > transfer entropy as in Duan et al. 2022 > > Please send feedback, bugs, error and suggestions for improvements. > > Best, > Alex > _______________________________________________ > DIPY mailing list -- [email protected] > To unsubscribe send an email to [email protected] > https://mail.python.org/mailman3/lists/dipy.python.org/ > Member address: [email protected] >
_______________________________________________ DIPY mailing list -- [email protected] To unsubscribe send an email to [email protected] https://mail.python.org/mailman3/lists/dipy.python.org/ Member address: [email protected]
