This is a very naive question, I’m using afni for fMRI anlaysis and planning to use support vector machine for mvpa.
I downloaded LIBSVM in matlab.
How can I do mvpa with afni and matlab version of LIBSVM?
Also, if I download matlab library for afni, can I write a script for fMRI analysis as like shell script?
The answer depends on the type of data/variable you want to input to MVPA and LibSVM. If you want to input the effect size (i.e. the betas) for each stimuli, you can compute them with 3dDeconvolve using --stim_times_IM. It might be a good idea to run 3dREMLfit to account for serial correlations. However, if the trials were highly correlated (e.g. in a fast event-related design), the program 3dLSS might be a better option as shown in the paper that described this approach.
This is a very naive question, I’m using afni for
fMRI anlaysis and planning to use support vector
machine for mvpa.
I downloaded LIBSVM in matlab.
How can I do mvpa with afni and matlab version of
LIBSVM?
If you are familiar with Matlab, you can also consider using CoSMoMVPA (disclaimer: I’m the main contributor to the project).
It provides input/output support for AFNI through the AFNI Matlab library, so you can easily get AFNI datasets into a CoSMoMVPA struct, do analyses and CoSMoMVPA, and then map results back to an AFNI dataset.
The
National Institute of Mental Health (NIMH) is part of the National Institutes of
Health (NIH), a component of the U.S. Department of Health and Human
Services.