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

Also you shouldn’t be using the HCP 7T fMRI data at this time. See the message about this on the list. Peace, Matt. From: > on behalf of Timothy Coalson > Date: Friday,

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

Most of the released HCP data are on a 32k mesh. You can find the Yeo parcellation on the 32k mesh here: https://balsa.wustl.edu/study/show/WG33 Peace, Matt. From: > on behalf of David Hartman

Re: [HCP-Users] HCP-style infant protocol: acquisition & parcellation questions

I would recommend that both images are 0.8mm isotropic, though there is no matrix size requirement (they just both need to cover the whole brain). Why do you want to use differing resolutions? You can download my percolation here: https://balsa.wustl.edu/file/show/3VLx Peace, Matt. From:

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

As for the 59k vertices you mentioned, I'm guessing you were looking at a cifti file that contains both hemispheres, and excludes the medial wall - if so, this actually uses surfaces with 32k vertices. Unfortunately, our 1.6mm 7T data was processed with a mesh that happens to use 59k-vertex

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

Hi David, With 59k vertices, it sounds like you are using the versions of the HCP individual data that was preprocessed at 1.6mm resolution for use with the 7T data contained in the "Structural Preprocessed for 7T (1.6mm/59k mesh)" package in ConnectomeDB. The 3T "Structural Preprocessed"

[HCP-Users] Meaning of the MMP 180 parcellation names

Dear HCP users, I'm trying to use the multi-model parcellation (MMP) data. I have the label names for the 180 parcellations, and also their location map available at https://balsa.wustl.edu/78X3. But cannot find out the full name or meaning of each name (e.g., what does p32pr mean). Can someone

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

Hi, *Background:* Regarding the parcellation of the cortex into functional networks (“The organization of the human cerebral cortex estimated by intrinsic functional connectivity,” Yeo et al.) Yeo breaks up the cortex into 7 networks. However, his cortical data has 163842 vertices, while the

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

What banding artifact are you referring to? Could you post a picture to a sharing site? thx -- Michael Harms, Ph.D. --- Conte Center for the Neuroscience of Mental Disorders Washington University School of Medicine Department of

Re: [HCP-Users] Flat Maps

Dear David, Thank you very much for your response. A colleague has forwarded the mail to me. I have no idea why I am not receiving your mails, I seem to be receiving all the other [HCP-Users] mail. I will check my settings. Thanks once again and regards, Claude > > > Forwarded

Re: [HCP-Users] Calculation of myelin maps

It is better for finding brain areas, but that bias correction will also remove low spatial frequency differences across subjects that you might be interested in (see Glasser et al 2013 Neuroimage for how it works). The protocol looks fine, though TI=1000 would be better from the perspective of

Re: [HCP-Users] Calculation of myelin maps

I'm using Myelin_BC as I thought it would be more accurate due to bias correction. I will recalculate with the normal myelin maps. Can you please tell me why MyelinMaps are better for the stats than MyelinMaps_BC? And do I understand correctly that our acquisition protocol is okay? Thanks a lot!