You might also consider a parcellated analysis if you are interested in affects
at the areal level.
Peace,
Matt.
From:
>
on behalf of "Harms, Michael" >
Date: Monday,
Yes, we recommend using PALM for statistical inference.
--
Michael Harms, Ph.D.
---
Conte Center for the Neuroscience of Mental Disorders
Washington University School of Medicine
Department of Psychiatry, Box 8134
Hi,
What is the most up-to-date method for thresholding clusters of adjacent
grayordinates using workbench, or which fsl tools are best to use with cifti
data. I saw that PALM by FSL was recommended in a previous thread. Is that
still recommended? Is that to be used in place of film or FEAT or
You can make T1w/164K_fs_LR versions of the surfaces by resampling the native
mesh surfaces in T1w space to the 164k mesh:
wb_command -surface-resample
${StudyFolder}/${Subject}/T1w/Native/${Subject}.${Hemisphere}.${Surface}.native.surf.gii
Dear Matt,
Thank you for your answer. I read the paper, and things are much clearer now. I
have another question though.
In addition to the parametric maps derived from DWI, we also have quantitative
parametric maps (T1, T2*, PD and susceptibility) computed from a
multi-parametric mapping
You need to correct such maps for the increased number of degrees of freedom in
HCP data if you want to get a sense of sensitivity. For grayordiante-wise
correlation analysis, you can increase SNR using a Wishart Rolloff as described
in the supplementary methods of our recent publication:
Hi Janine,
As you point out this info is available in ConnectomeDB and there are csv's
generated in our unprocessed packages that give this scan information per
subject. We are working on the issue of making this info more conveniently
available as a single zip of all these csv's for the S900.
As has been discussed on the list before, group average surfaces do not
have the geometric definition that volume spaces expect:
https://www.mail-archive.com/hcp-users%40humanconnectome.org/msg02669.html
The AAL atlas appears to have been defined from a single individual - if
this is correct,
Dear group,
I analysed the SNR of a HCP subject (100206, rfMRI_REST2_LR) and was wondering
that the SNR is quite low. Attached you can find the results for the threshold
of 30. Using a threshold of 50 all signal disappeared!
I am aware that the use of higher spatial resolution results in a