Andrea Brovelli

Thanks Julia, great work

You are right, np.clip(mi, 0, mi) cannot work for biased corrected GCMI values. BUT, you can make the np.clip(mi, 0, mi) before computing the bias corrected values

Thanks Eric for your input. 1) Running MarsAtlas ([link](https://meca-brain.org/software/marsatlas/)) is not straight forward, unfortunately. Basically, we import Freesurfer results into BrainVisa to create the MrsAtals parcellation. Then we wrote a...

Ok I get it. At the moment, it's a bit difficult for me (or someone in my group) to re-run the analyses with another parcellation. That would be really helpfull,...

Good point. Yeah, I can do that (relatively) rapidly. I will keep you posted.

Hi all, Thanks to @adam2392 I got to know the mne-connectivity module you are working on. Great initiative! Concerning FC measures, you may be interested in the implementation of Frites,...

You may also be interested in the gcmi- and covariance-based implementations of Granger causality: https://github.com/brainets/frites/blob/master/frites/conn/conn_covgc.py Here is the full set of measures currently available https://github.com/brainets/frites/tree/master/frites/conn

Hi @adam2392, I think @EtienneCmb can answer you more precisely concerning the future of the API of Frites and data structures. I don't think they will evolve much. For what...

Ok, thanks Alex. I can try to coordinate this. Indeed a Zoom meeting would help. So far: 1) @brovelli 2) @adam2392 3) @EtienneCmb 4) @ViniciusLima94 Who else woudl like to...