Dear experts,
I'm encountering the following issue with congrads:
Computing voxel-wise connectivity fingerprints...
Computing similarity matrix...
Computing the graph Laplacian...
Computing the dominant 1 connectopic maps...
Traceback (most recent call last):
File "conmap.py", line 298, in
main(args.infiles,args.roifile,args.maskfile,args.outdir,args.nmaps,args.save_eta2,args.norm_flag,args.proj_flag)
File "conmap.py", line 242, in main
y[:,evec] = np.multiply(y[:,evec],np.sign(np.corrcoef(y[:,evec],ref)[0,1]))
File "/opt/.local/lib/python3.6/site-packages/numpy/lib/function_base.py", line 2522, in corrcoef
c = cov(x, y, rowvar)
File "/opt/.local/lib/python3.6/site-packages/numpy/lib/function_base.py", line 2386, in cov
X = np.concatenate((X, y), axis=0)
ValueError: all the input array dimensions except for the concatenation axis must match exactly
I'm using mask, ROI and rsfMRI_input with same dimensions (91 109 91 - 2mm).
Any suggestions?