Dear HCP experts,
Could I find the shell or MATLAB script used for generating group-averaged
dense connectome
("HCP_S900_820_rfMRI_MSMAll_groupPCA_d4500ROW_zcorr.dconn.nii") somewhere
online? Thank you.
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HCP-Users mailing list
Hi again,
another question. I am trying to compute pairwise correlation with
-cifti-pairwise-correlate between two pconn files.
One has been derived by parcellating (-cifti-parcellate) with a given
parcellation , i.e. Yeo11, the dconn file in 32K space , i.e.
Thanks
On 7/16/2016 5:03 PM, Glasser, Matthew wrote:
> Hi Georgios,
>
> Looks like you asked for adaptive barycentric resampling without providing
> areas to use (the algorithm does not accept spherical surfaces to be the
> source of anatomical vertex areas). Resampling a dense connectome would
Hi Georgios,
Looks like you asked for adaptive barycentric resampling without providing
areas to use (the algorithm does not accept spherical surfaces to be the
source of anatomical vertex areas). Resampling a dense connectome would
only be appropriate for tractography data. For fMRI data, you
Thanks for the tip Matt.
I ll stick to parcellations for comparing fMRI and MEG connectivity in
the practicals.
But in any case , if one would want to do such a deconn resampling , do
you know what is the mistake(s) I am doing in the command below?
Thanks again
Giorgos
On 7/16/2016 4:49
Hi Georgios,
I would not recommend downsampling a dense connectome. Instead it would
be better to downsample the dense timeseries and then recompute the dense
connectome.
Peace,
Matt.
On 7/16/16, 9:47 AM, "hcp-users-boun...@humanconnectome.org on behalf of
Georgios Michalareas"
Hi everyone,
i am trying for the MEG practicals to downsample a 32K dconn fMRI group
functional connectivity cifti:
HCP_S900_820_rfMRI_MSMAll_groupPCA_d4500ROW_zcorr.dconn.nii
into a dconn cifti in the 4K space that we use in the MEG analysis in OT4.
I am trying to use cifti-resample to do
