AFNI Idea - Resting State

Resting state group analysis:
1) Compute correlation maps of all GM voxels with all other GM voxels = 10-30K volumes per subject
2) Convert r to z and then do a group t-statistic set of maps
3) Threshold on t and then cluster each map
4) Compute p-value for each surviving cluster
5) Do FDR q computations on all these p-values

Sub-ideas and problems:
1a) 'Smooth' with projection onto local SVD space of dimension x (small x)
1b) Remove first SVD vector of all non-GM voxels in a sphere about each GM voxel
1c) Use a sparse BCC mesh of seed voxels to cut down the number of maps
3a) What t threshold to use?
4a) Lots of overlapping clusters -- how to deal with these?
5a) With overlapping clusters (e.g., from nearby seed voxels), will have many similar small p-values that are highly correlated in fact. What do do? (same as 4a)