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Dear AFNI users-
We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:
https://discuss.afni.nimh.nih.gov
Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.
The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.
Sincerely,
AFNI HQ
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Thank you, Gang.
But we didn't present V* yes-noisy trials, so there are no sub-briks for that.
However, I didn't set up V*yes-noisy contrasts in the glt, why would the 3dMVM won't let it through?
If so, do I have to delete all the V trials since there are only V*no-noisy, but no V*yes-noisy trials?
thanks,
Yue
by
yue1988
-
AFNI Message Board
Thank you for the fast reply, Gang.
I was able to start this script:
3dMVM -prefix SentenceWordVol -jobs 4 \
-bsVars 'group' \
-wsVars 'condition*noisy' \
-num_glt 9 \
-SC \
-gltLabel 1 A_btngrp -gltCode 1 'group : 1*sentence -1*word condition : 1*A' \
-gltLabel 2
by
yue1988
-
AFNI Message Board
Thank you, Gang.
Here is the script I tried:
3dMVM -prefix SentenceWordVol -jobs 4 \
-bsVars 'group' \
-wsVars 'condition*noisy' \
-num_glt 9 \
-gltLabel 1 A_btngrp -gltCode 1 'group : 1*sentence -1*word condition : 1*A' \
-gltLabel 2 AV_btngrp -gltCode 2 'group : 1*sentence -1*word conditio
by
yue1988
-
AFNI Message Board
Hi,
I have data from two studies that used different types of stimuli (sentence vs. word movies), but both types of stimuli have five different modalities (e.g., noisy vs. clear movie, etc.). The participants are different and with uneven numbers (20 vs. 15) in the two studies.
I would like to compare these two groups, so basically I have 3 factors:
Factor A: stimuli type has 2 levels:
by
yue1988
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AFNI Message Board
Hi,
I have been using -recon all for brain parcellation, it works well until some wrong parcellation in one of the healthy subject.
We made ROI maps by extracting the following anatomical areas based on the parcellation:
STS - ctx_lh_S_temporal_su
STG - ctx_lh_G_temp_sup-Lat
MTG - ctx_lh_G_temporal_mid
In this subject, the red and orange parts highlighted below a
by
yue1988
-
AFNI Message Board