MICA-MNI / micapipe

micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Read The Docs documentation below
http://micapipe.readthedocs.io
GNU General Public License v3.0
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Atlas-defined time series output #108

Closed benjaminsipes closed 5 months ago

benjaminsipes commented 6 months ago
rcruces commented 5 months ago

Hello,

First of all, our documentation is outdated for some modules and we are currently working on it. We changed txt to shape.gii because they are lighter and faster to load than txt files. About the time series of the parcellated data, we removed them because it was redundant, each parcellated time series can be obtained from fsLR-32k_desc-timeseries_clean.

I made a little notebook that explains how to do it on this repo preproc_reports

jupyter notebook: from-fsLR-32k_to-parcels.ipynb

best