reduce resolution of the 32k_L_R surface mesh

[Steph]

Dear all,

I am using ciftify_anat and ciftify_fmri with the 32k_L_R mesh. I use then cifti_separate to separate the brain into left and right.
I load then into python with nib.load my functional file for the left and right hemisphere (...Atlas_s0.dtseries_CortexLeft.func.gii).

Would it be possible then to e.g. take the average of 16 surrounding voxels to reduce the resolution of 32k to 2k?

Best,

Stephan

[Glasser, Matt]

If you want to downsample data, you can use wb_command -surface-create-sphere (be sure to read the usage of this command carefully) and then wb_command -cifti-resample or -metric-resample.

 

Matt.

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[Coalson, Timothy Scott (S&T-Student)]

2k is rather low resolution for human cortex.  What are you planning to do with it, and have you considered parcellation?

Tim

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From: Steph <stephan.wu...@gmail.com>
Sent: Friday, October 1, 2021 3:41 AM

To: HCP-Users <hcp-...@humanconnectome.org>
Subject: [hcp-users] reduce resolution of the 32k_L_R surface mesh

 

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[Steph]

I will probably use something between 4k and 10k. I think voxel based analysis is better than parcellation analysis.

I am going to analyse dysconnective behaviour in various diseases.