Hello AFNI expert,
I would like to compare the ability of different atlases to extract a homogeneous BOLD signal in each ROI.
I created different atlases based on ICA. I built one atlas per component number (for ex: from 5 to 30 components so I have 25 atlases).
I was thinking of using 3dReHo with -in_rois one each atlas and calculating the curve of an increase of ReHo per atlas.
Since I increase the number of regions and so the number of subdivisions in each atlas I may expect a relatively linear increase of the mean ReHo for each atlas?
The idea is to identify one or two atlases that display a significantly high ReHo for their component number.
Does this make sense? Does this will really identify an atlas that could be "ideal" for a correlation matrix analysis?
If not, is their another way to do that?
I hope that I am not saying non-sense.
thank you for help!
Clément
