Re: [HCP-Users] mapping HCP data into 7 functional networks (using Thomas Yeo parcellation)

There are folks working on this. The Yeo parcellation was made using differing surface registration, and also it is a “winner take all” clustering parcellation, rather than a gradient-based parcellation. This means that relatively subtle differences in fc could occur on either side of some

Re: [HCP-Users] mapping HCP data into 7 functional networks (using Thomas Yeo parcellation)

I noticed that the parcellation of the nodes into 360 ROIs (Glasser 2016) does not "fit" well into networks (ie, Yeo parcellation). There are nodes in a given ROI that belong to multiple networks. Are you aware of any work that has tried to bridge your ROI parcellation with some of the network

Re: [HCP-Users] diffusion data merge pipeline

We really don’t recommend you do that. I would ask about the eddy_cuda on the FSL or neurodebian lists. Peace, Matt. From: Yeun Kim > Date: Tuesday, July 18, 2017 at 4:11 PM To: "Harms, Michael" > Cc: Matt

Re: [HCP-Users] diffusion data merge pipeline

Thanks for the reply. I would like to reduce the computing time for DiffusionPreprocessing; feeding in both sets of dMRIs takes about 24.16 hours to run, while parallel processing takes 10.72 hours. I've been trying to retrieve the eddy_cuda version, but I can't find it in the neurodebian

Re: [HCP-Users] mapping HCP data into 7 functional networks (using Thomas Yeo parcellation)

Please use our CIFTI tool for now (option 2B): https://wiki.humanconnectome.org/display/PublicData/HCP+Users+FAQ We are planning to modify the CIFTI tools that were originally written for field trip to work better with brain imaging data in the future. Peace, Matt. From: David Hartman

Re: [HCP-Users] mapping HCP data into 7 functional networks (using Thomas Yeo parcellation)

Thank you for your responses. My data is indeed in a 32k (per hemisphere) mesh. My question pertains to what counts as a medial wall? My impression (but please correct me if I am wrong) is that when using the MATLAB command ciftiopen, there are 64.9k vertices (32k per hemisphere). and when using

Re: [HCP-Users] CMRR vs MGH multiband/SMS sequences

What version of the software is this and what scanner? Also, what are the sequence parameters? Peace, Matt. From: > on behalf of A R > Date: Tuesday, July 18,

Re: [HCP-Users] CMRR vs MGH multiband/SMS sequences

Hi, It's best seen on tStd and tSnr images. Depending on sequence parameters it can very subtle. I've tried different coils and sites. These are with CMRR. Just a few (20 I think) volumes demonstrating the artifact. https://ibb.co/cPAwEa https://ibb.co/cmu6Ea > On Jul 14, 2017, at 6:08 PM,

Re: [HCP-Users] Statistical comparison of whole brain (surface "voxels" + subcortical / cerebellar voxels) connectivity between two explicitly defined voxels

Hi, A couple extensions to Tim’s recipe. PALM has a “transposedata” option, so you can always transpose at the PALM stage if you prefer to not explicitly create a transposed CIFTI file. PALM can indeed accept CIFTI files “as is”, *if* you want to do permutation on the max statistic across