Hi expert,
I got the following error at the first level of denoising when I got to 51 objects.
Error：
Step 5/6: preprocessing voxel-to-voxel covariance
ERROR DESCRIPTION:
Error using svd
SVD did not converge.
Error in conn_process (line 1917)
[Q1,D]=svd(Cy); % Q1*D*Q1 = Ctt (time-by-time covariance
matrix; note:unit variance timeseries)
Error in conn_process (line 69)
case {'preprocessing_gui','denoising_gui'}, conn_disp(['CONN:
RUNNING DENOISING STEP']);
conn_process([1.5,2,6:9],varargin{:});
Error in conn (line 7024)
else conn_process('denoising_gui'); ispending=false;
Error in conn_menumanager (line 124)
feval(CONN_MM.MENU{n0}.callback{n1}{1},CONN_MM.MENU{n0}.callback{n1}{2:end});
CONN22.a
SPM12 + DAiSS DEM FieldMap MEEGtools
Matlab v.2018a
project: CONN22.a
storage: 2148.7Gb available
spm @ /media/**/**/toolbox/spm12
conn @ /media/**/**/toolbox/conn22a/conn
Thanks,
Yuan
Hi Yuan
I am not sure about this one, could you check whether there is anything unusual about subject #51 data before denoising? (e.g. it may have zero or negative degrees of freedom, it may have no or very few voxels in gray matter, etc.)
Best
Alfonso
Originally posted by Yuan Cao:
Hi expert,
I got the following error at the first level of denoising when I got to 51 objects.
Error：
Step 5/6: preprocessing voxel-to-voxel covariance
ERROR DESCRIPTION:
Error using svd
SVD did not converge.
Error in conn_process (line 1917)
[Q1,D]=svd(Cy); % Q1*D*Q1 = Ctt (time-by-time covariance matrix; note:unit variance timeseries)
Error in conn_process (line 69)
case {'preprocessing_gui','denoising_gui'}, conn_disp(['CONN: RUNNING DENOISING STEP']); conn_process([1.5,2,6:9],varargin{:});
Error in conn (line 7024)
else conn_process('denoising_gui'); ispending=false;
Error in conn_menumanager (line 124)
feval(CONN_MM.MENU{n0}.callback{n1}{1},CONN_MM.MENU{n0}.callback{n1}{2:end});
CONN22.a
SPM12 + DAiSS DEM FieldMap MEEGtools
Matlab v.2018a
project: CONN22.a
storage: 2148.7Gb available
spm @ /media/**/**/toolbox/spm12
conn @ /media/**/**/toolbox/conn22a/conn
Thanks,
Yuan