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MICA-MNI / BrainStat

A statistics and context decoding toolbox for neuroimaging.
https://brainstat.readthedocs.io
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mapping voxels/vertices/parcels to brain anatomy #350

Closed lukasvo76 closed 3 days ago

lukasvo76 commented 4 months ago

Hi BrainStat team,

Just discovered your toolbox, looks awesome, and nicely documented, thanks!

What is not clear to me from the docs/tutorials is how to input my own data correctly as a subject-by-region/voxel/parcel-by-variate matrix. In other words, how will BrainSpace know which region/parcel/voxel in the brain column x corresponds to?

I typically have volumetric data, so should I use the read_volume function? Could you maybe provide an example on how to load voxel-based first-level beta/con maps from multiple subjects?

Thanks a lot for your help!

Best wishes,

Lukas

zihuaihuai commented 3 days ago

In BrainStat, the analysis typically focuses on a single target variable, such as cortical thickness. The data is organized in a matrix where subjects are rows and regions are columns. As for plotting, this is handled within BrainSpace. I recommend referring to Tutorial 0 in the BrainSpace documentation for more details. You can find the tutorial at the following link: BrainSpace Tutorial 0.

lukasvo76 commented 3 days ago

Thank you Enning!

Is there a Matlab version of tutorial 0 by any chance, as I am not a Python user?

Best wishes,

Lukas

zihuaihuai commented 2 days ago

Hi Luckas,

Here is the doc page of the brainSpace. There is a section of matlab tutorials. https://brainspace.readthedocs.io/en/latest/index.html

Best, Enning

lukasvo76 commented 2 days ago

Hi Enning,

Yes, I have seen those, but tutorial 0 "preparing your data...", which is the one I need to answer my question, is not available in the Matlab package, only in the Python package.

Also, does BrainStat work with volumetric data, or only surface?

Thanks,

Lukas