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
> only be appropriate for tractography data.  For fMRI data, you want to
> average the timeseries prior to running functional connectivity at the
> lower resolution.
>
> Peace,
>
> Matt.
>
> On 7/16/16, 9:59 AM, "Georgios Michalareas"
> <giorgos.michalar...@esi-frankfurt.de> wrote:
>
>> 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 PM, Glasser, Matthew wrote:
>>> 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" <hcp-users-boun...@humanconnectome.org on behalf
>>> of
>>> giorgos.michalar...@esi-frankfurt.de> wrote:
>>>
>>>> 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 so. I know i have to use it
>>>> twice, once along COLUMN and then along ROW directions.
>>>>
>>>> However I am not sure how to set the cifti-resample input arguments
>>>> correctly.
>>>>
>>>>
>>>> I have the following files :
>>>>
>>>> Input functional connectivity file from fMRI in 32K space:
>>>> HCP_S900_820_rfMRI_MSMAll_groupPCA_d4500ROW_zcorr.dconn.nii
>>>>
>>>> Input Sphere Left (32K space): S900.L.sphere.32k_fs_LR.surf.gii
>>>>
>>>> Input Sphere Right (32K space): S900.R.sphere.32k_fs_LR.surf.gii
>>>>
>>>> Output Sphere Left (4K space): Sphere.4k.L.surf.gii
>>>>
>>>> Output Sphere Right (4K space): Sphere.4k.R.surf.gii
>>>>
>>>> I have a "template" (not sure if it is actually suitable for a
>>>> template)
>>>> dconn file in the 4K space, called testtemplate4K.dconn.nii. This is a
>>>> just a dconn file of functional connectivity computed directly from MEG
>>>> data in the 4K space.
>>>>
>>>> The issue is that the 32K functional connectivity matrix contains
>>>> connectivity between all vertices , in both left and right hemispheres
>>>> and i am not sure if such a connectivity file can be divided into left
>>>> and right. So this file is defined over both hemispheres.
>>>>
>>>> Then I have the input and output spaces defined with sphere files,
>>>> different for left and right hemispheres.
>>>>
>>>> After reading the description of cifti-resample I tried running the
>>>> following (with wb_command 1.2):
>>>>
>>>> wb_command -cifti-resample
>>>> HCP_S900_820_rfMRI_MSMAll_groupPCA_d4500ROW_zcorr.dconn.nii COLUMN
>>>> testtemplate4K.dconn.nii COLUMN ADAP_BARY_AREA CUBIC
>>>> testdconnresamp1.dconn.gii -left-spheres
>>>> S900.L.sphere.32k_fs_LR.surf.gii Sphere.4k.L.surf.gii -right-spheres
>>>> S900.R.sphere.32k_fs_LR.surf.gii Sphere.4k.R.surf.gii
>>>>
>>>> and i got the error:
>>>>
>>>> ERROR: left area data is missing
>>>>
>>>> I thought that the left area data is in the input dconn 32K dconn
>>>> cifti.
>>>>
>>>> Could you please have a look in the above command and advice on what i
>>>> am doing wrong?
>>>>
>>>> Thank you very much
>>>>
>>>> Best
>>>>
>>>> Giorgos
>>>>
>>>>
>>>>
>>>>
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