To Steve's point and the issue of memory: A critical distinction is whether you are intending to work with dense connectomes or parcellated connectomes. In the context of parcellated connectomes, both Steve and myself have found a small advantage in
reproducibility if you compute a
I don't know if this is it, but off the top of my head, how exactly did you set up your SUBJECTS_DIR? I assume that you are trying to aggregate stats into a table across a number of subjects after having downloaded the "Structural Extended" packages?
The location of the FS data in the HCP
As a brief follow-up to this: As you see from Steve's pasted code, the order of the time series in the PTN is based solely on the file name in ConnectomeDB. Importantly, nothing in the REST{1,2}_{LR,RL} naming tells you whether the LR run came first,
or vice-versa. All you know for sure
Ok, but I thought we were talking about correlations here? Another reason for Joelle to be explicit about what she is wanting to do.
--
Michael Harms, Ph.D.
---
Conte Center for the Neuroscience of Mental Disorders
Washington
Because the surface data in our Cifti files is mapped from the volume using
subject-specific surfaces, it avoids mixing csf and white matter data into
the cortical signal. With a volume parcellation, in order to do something
similar, you would need to parcellate each individual somehow, or have
Hi Tim,
Thanks for your response. Within the Resting State fMRI 1 preprocessed in
the 500 Subjects + MEG2, I see the rfMRI_REST1_LR.nii.gz, which I presume
is the Nifti-1 data. And then I see an rfMRI_REST1_LR_Atlas.dtseries.nii -
Is that the dtseries.nii Cifti you refer to? Could you explain a
You might want to cross-post this to the FreeSurfer list unless there is
someone on the HCP list familiar with qdec, assuming that you've downloaded the
structural extended packages.
Peace,
Matt.
From:
>
on
Hi Michael - for raw covariances - summing covariances is equivalent to temp
concat first.
Cheers
> On 25 Nov 2015, at 17:29, Harms, Michael wrote:
>
>
> To Steve's point and the issue of memory: A critical distinction is whether
> you are intending to work with dense