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makism / dyconnmap

A dynamic connectome mapping module in python.
BSD 3-Clause "New" or "Revised" License
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Estimate dFC for fMRI? #42

Closed JoffJones closed 4 years ago

JoffJones commented 4 years ago

Hi there,

Thanks for developing this package! I have already found some useful tools for static FC here, but I have been struggling to work out if it is possible to do any dynamic FC analyses for fMRI data? Following up on previous threads https://github.com/makism/dyconnmap/issues/11

If so, I'd be really grateful for some tips to get started. I'd like to start with generating some FC networks from sliding windows.

Many thanks, Joff

makism commented 4 years ago

Hey @JoffJones

Sorry for the tardy reply. Unfortunately, for now, there's not a direct way to do that. You can use the helper method sliding_window_indx to generate the indices for a sliding window. It constructs a 3d matrix of size: [window_idx, roi_x, roi_y]; you can use it to iterate over it and employ an Estimator object (i.e. Corr) to estimate the connectivity within each sliding window.

Hopefully, this helps you out.

Regards, Makis

JoffJones commented 4 years ago

Hi @makism

Thanks for the help! It was quite straightforward to construct my own sliding window correlation matrices in the end. It's a shame that I can't analyse these with your package, I haven't managed to find any other Python packages for this and those in Matlab seem somewhat limited. Regardless, it is still a very useful reference point for me to consider in my own analyses.

Thanks again, Joff