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Yes, thank you.
Yes in fact it's not the same file.
I deleted the complete path to make my message more readable but it's really 2 different files.
by
carolege
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AFNI Message Board
Dear AFNI experts,
I try to run 3dICC on 'very preliminary data' (so very small sample size).
I would like to quantify networks similarity across 3 subjects.
3dICC -prefix myICC -jobs 4 \
-mask mask.nii.gz \
-model '1+Network+(1|Subj)' \
-dataTable \
Subj Network In
by
carolege
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AFNI Message Board
Dear AFNI users,
I get a 3dDeconvolve WARNING message when I used the '-ortvec bandpass_rall.1D bandpass' option:
*+ WARNING: !! in Signal+Baseline matrix:
* Largest singular value=2.66744
* 3 singular values are less than cutoff=2.66744e-07
* Implies strong collinearity in the matrix columns!
*+ WARNING: !! in Baseline-only matrix:
* Largest singular value=2.66744
*
by
carolege
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AFNI Message Board
Thank you Peter for your reply.
Yes it gives me the number of voxels overlapping for each input mask, but actually I would that it automatically select the one with the maximum overlap to then run it into a 3dcalc command.
I don't know if it is feasible?
Thanks again,
Carole
by
carolege
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AFNI Message Board
Dear AFNI users,
I would like to compare severals binary maps to a reference map.
My aim is to find the maps that best overlap with this reference map (for example by counting the number of overlapping voxels with 3dOverlap and then selected the maps with the maximum value), to further process this 'selected' map with 3dcalc.
But I'm a bit lost with the loop and shell langua
by
carolege
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AFNI Message Board
Actually, my dataset comes from HCP resting-state database.
Yes I tried pairwise comparisons with 3dtest++. And yes, It was the best solution that I found from now, but I was looking for a more elegant way.
by
carolege
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AFNI Message Board
Thank you for your answer. This approach seems interesting but I could not base the analysis on a previous study or atlas...
by
carolege
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AFNI Message Board
By 3 ROIs I mean 3 separate seeds. To be more precise these ROIs are 3 different parts of a subcortical nucleus. As this nucleus is massively connected with the rest of the brain, I have some difficulties to compare the 3 connectivity maps.
by
carolege
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AFNI Message Board
Hello AFNI users,
I would like to compare/characterize connectivity maps (computed with simple seed-based correlation analyses) from 3 different ROIs. These connectivity maps have the particularity of being very extensive (almost all of the GM), which makes the comparison difficult.
I am a bit lost on how analyze these data?
In my mind, I would like to remove the 'noise' in these
by
carolege
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AFNI Message Board
Thanks to you two for your answers!
Yes it is exactly what I mean a 503x100000 voxels (for example). Thanks, I'm going to try these options.
But indeed, as you point out it would give a very large matrix ...
Actually, I was wondering if it is possible to use a different grid for both inputs? : for example a 2x2x2 grid for the region of interest of 503 voxels, and a resample grid to 4x4
by
carolege
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AFNI Message Board
Dear AFNI users,
I'm looking for a way to compute an NxM (rectangular) correlation matrix - meaning that I would like to compute a correlation score (based on timeseries) for each voxel of a given brain area (containing 503 voxels) with the rest of the brain (whole brain mask).
I tried to use 3dNetCorr or @ROI_Corr_Mat but it seems that these programs only deal with NxN matrices. Am I
by
carolege
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AFNI Message Board