A common use case for displaying vertex t-statistic data is to look at both the positive and negative effects, and exclude the middle around -FDR5% -> 0 -> +FDR5%
There are two ways to achieve this that I've seen
Load the same vertex data twice, use a "hot" colourbar and set the threshold from +FDR5% to MAX, and a separate "cold" colour bar from -FDR5% to MIN. (display both sets of data on the object at the same time)
Use a hot-cold diverging colourmap, and have a double colourbar range, setting one to +FDR5% to max, and another -FDR5% to min
From my perspective, either implementation would solve my common use case of wanting to visualize both positive and negative statistics at the same time.
I see one place where option 1 would be slightly more flexible. If I wanted to look for coincident regions with two different kinds of statistics (two different predictors for example) loading more than one set of data per object would be helpful there.
Either way, just throwing out this as a feature idea.
A common use case for displaying vertex t-statistic data is to look at both the positive and negative effects, and exclude the middle around -FDR5% -> 0 -> +FDR5%
There are two ways to achieve this that I've seen
From my perspective, either implementation would solve my common use case of wanting to visualize both positive and negative statistics at the same time.
I see one place where option 1 would be slightly more flexible. If I wanted to look for coincident regions with two different kinds of statistics (two different predictors for example) loading more than one set of data per object would be helpful there.
Either way, just throwing out this as a feature idea.