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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gang
May 30, 2020 02:32PM
> 3dREMLfit is the ideal option because fMRI time series are temporally autocorrelated

The reason is not that FMRI time series are temporally autocorrelated. Rather, we currently cannot explain everything embedded in the FMRI data, thus the resulting residuals still contain some extent of temporal structure.

> I use the -iresp command in 3dDeconvolve to model my HDR

No, the option -iresp has nothing to do the model. Instead, the model is specified through options such as stim_times, stim_files, etc. In addition, the option -iresp simply collects the results (e.g. those betas associated with each condition/task) and saves them into a separate files. Indeed, 3dREMLfit does not inherit the option -iresp from 3dDeconvolve. However, it does not matter: those betas (and their t-statistics) are directly available in the 3dREMLfit ouput and they are just buried together with other information in the overall output. So, you can still access to them.

Gang
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Modeling the HDR with 3dREMLfit

emarler May 29, 2020 01:22PM

Re: Modeling the HDR with 3dREMLfit

gang May 30, 2020 02:32PM