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help > RE: first-level covariate QC_timeseries mismatched dimensions (0 rows) CONN version 19.b
Apr 16, 2020 05:04 PM | doora - ELTE
RE: first-level covariate QC_timeseries mismatched dimensions (0 rows) CONN version 19.b
Thanks for catching this. I am attempting to use a batch, and I
import the functionals based on
the conn_batch_workshop_nyudataset.m file:
batch.Setup.functionals=repmat({{}},[NSUBJECTS,1]); % Point to functional volumes for each subject/session
for nsub=1:NSUBJECTS,
for nses=1:nsessions,
batch.Setup.functionals{nsub}{nses}=FUNCTIONAL_FILE{nsub,nses};
end
end %note: each subject's data is defined by three sessions and one single (4d) file per session
Is this correct or did I mix up something?
Thanks again
Dora
batch.Setup.functionals=repmat({{}},[NSUBJECTS,1]); % Point to functional volumes for each subject/session
for nsub=1:NSUBJECTS,
for nses=1:nsessions,
batch.Setup.functionals{nsub}{nses}=FUNCTIONAL_FILE{nsub,nses};
end
end %note: each subject's data is defined by three sessions and one single (4d) file per session
Is this correct or did I mix up something?
Thanks again
Dora
Threaded View
Title | Author | Date |
---|---|---|
doora | Apr 12, 2020 | |
doora | Apr 15, 2020 | |
Alfonso Nieto-Castanon | Apr 16, 2020 | |
doora | Apr 16, 2020 | |