AFNI Message Board

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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paul.hamilton
September 24, 2020 07:04AM
Comrades--

We'd like to do some multi-voxel pattern analysis using data from a simple block-design study with baseline epochs long enough for the HRF to settle. One fork in the decision tree for implementing this approach is whether to use for training and testing a series of betas from individual blocks of each condition (using, e.g., 3dLSS) or to use the preprocessed BOLD time-series. We're opting for the latter since we have lots of TRs and not-so-many blocks per condition. With that decided, we need for training and testing to wed the actual task timing to the BOLD data which means deconvolving the HRF out of neural activity. To do this, would you recommend using 3dTfitter?

All best,

Paul
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3dsvm with block-design data: use 3dTfitter? smoking smiley

paul.hamilton September 24, 2020 07:04AM

Re: 3dsvm with block-design data: use 3dTfitter? smoking smiley

jlisinski September 24, 2020 05:56PM

Re: 3dsvm with block-design data: use 3dTfitter? smoking smiley

paul.hamilton September 25, 2020 07:07AM