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MICA-MNI / BrainStat

A statistics and context decoding toolbox for neuroimaging.
https://brainstat.readthedocs.io
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[ENH] Implement bigbrain context decoding #151

Closed ReinderVosDeWael closed 3 years ago

ReinderVosDeWael commented 3 years ago

Implement decoding of Casey's MPC maps. This would be very helpful to have done before OHBM.

sheyma commented 3 years ago

Could you please give some more details about Casey's MPC maps? What is it?

ReinderVosDeWael commented 3 years ago

c.f. https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000284

sheyma commented 3 years ago

Hi, thanks for the link! Nice paper reporting gradients of different modalities (histology, microstructural covariance and functional connectivity) + the meta-analytic decoding of their differences.

However, what I don't understand, why do we want to have this all in brainstat?

Is it just to replicate Paquola et al. 2019, ie with histological gradients with plot_tutorial_02_context.py:

tutorial2figure

Apparently, the whole effort requires:

brainstat/context/histology.py test_histology.py get_home_dir.m brainstat_matlab/context/histology/* and so on.

Or, is the rationale actually to illustrate an example for the whole context decoding, and this module needs a set of reasonable data set, and you choose Paquola et al. 2019 for this reason?

Thanks for the reply in advance.

ReinderVosDeWael commented 3 years ago

Same reason as we use nimare and allen human brain atlas; contextual decoding of other data.

ReinderVosDeWael commented 3 years ago

Will close this issue as the PR is already implemented; can continue this on slack if you want.