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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Peter Molfese
May 07, 2018 11:13AM
Hi Paul-

My inclination is to recommend Option 1, compute a summary statistic and then use that for your prediction. I think the variability of using all of the data points is going to make classification difficult. I can't promise that RSFC measures will be the answer, but that seems like a better option than all of the issues you may have using "raw" time series.

Happy to discuss more though!

-Peter
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Subject Author Posted

support vector machine in resting state data

charujing123 March 08, 2018 08:46PM

Re: support vector machine in resting state data

Peter Molfese March 09, 2018 09:43AM

Re: support vector machine in resting state data

paul.hamilton May 04, 2018 10:07AM

Re: support vector machine in resting state data

Peter Molfese May 07, 2018 11:13AM

Re: support vector machine in resting state data

paul.hamilton May 08, 2018 02:50AM