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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