[HCP-Users] Group ICA with Melodic on 20 or more subjects

2015-01-29 Thread Micah Chambers
Has anyone on the run group-wise analysis on the HCP resting state data, and if so what tools did you use? I am having memory issues when running more than 10 subjects and I was wondering if anyone has a way of getting around the large memory requirements when concatenating in time. Thanks!

Re: [HCP-Users] Group ICA with Melodic on 20 or more subjects

2015-01-29 Thread Micah Chambers
Thanks Matthew, I'll check out the latest version of FSL. Is there a paper the discusses the MIGP method? On Thu, Jan 29, 2015 at 7:24 PM, Micah Chambers micahc...@gmail.com wrote: Well the resting state data provided through the HCP around 1GB each so I'm guessing the memory requirement is a

Re: [HCP-Users] Group ICA with Melodic on 20 or more subjects

2015-01-29 Thread Glasser, Matthew
If you update to the latest version of FSL the MIGP algorithm may be in there and is designed to help with this. The main limitation with melodic has been that it was single threaded. I don’t know if that has been addressed yet. Peace, Matt. From: Micah Chambers micahc...@gmail.com

Re: [HCP-Users] Group ICA with Melodic on 20 or more subjects

2015-01-29 Thread Micah Chambers
Well the resting state data provided through the HCP around 1GB each so I'm guessing the memory requirement is a good bit more than 8GB now, unless the PCA is performed per subject. Has anyone done Group ICA on datasets this size? -Micah On Thu, Jan 29, 2015 at 6:40 PM, Glasser, Matthew

Re: [HCP-Users] Group ICA with Melodic on 20 or more subjects

2015-01-29 Thread Micah Chambers
Yeah, I sort of need to do whole-brain. -Micah On Thu, Jan 29, 2015 at 7:33 PM, Glasser, Matthew glass...@wusm.wustl.edu wrote: Finally I’ll note that MIGP and lots of RAM are not needed when using parcellated datasets (though if you want ICA, you probably aren’t planning to run it on

Re: [HCP-Users] Group ICA with Melodic on 20 or more subjects

2015-01-29 Thread Glasser, Matthew
Finally I’ll note that MIGP and lots of RAM are not needed when using parcellated datasets (though if you want ICA, you probably aren’t planning to run it on parcellated data). Peace, Matt. From: Glasser, Matt Glasser glass...@wusm.wustl.edu Date: Thursday, January 29, 2015 at 9:32 PM

Re: [HCP-Users] Group ICA with Melodic on 20 or more subjects

2015-01-29 Thread Glasser, Matthew
http://www.sciencedirect.com/science/article/pii/S105381191400634X We’re working on some improvements for it when used for functional connectivity (i.e. all to all correlations), but it works fine as is for ICA. Peace, Matt. From: Micah Chambers micahc...@gmail.com Date: Thursday,

Re: [HCP-Users] Group ICA with Melodic on 20 or more subjects

2015-01-29 Thread Stephen Smith
Thanks Matt That's correct that the --migp option (see a recent post from me to the FSL list about this new option) inside melodic is still single-threaded. However the journal paper (linked below by Matt) includes simple matlab code for doing MIGP and that can easily be parallelised as well