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help > RE: Non-parametric cluster correction single subj
Dec 11, 2017 08:12 PM | Stephen L. - Coma Science Group, GIGA-Consciousness, Hospital & University of Liege
RE: Non-parametric cluster correction single subj
Hey Alfonso!
That's AWESOME!!! Thank you so much for the patch and the detailed explanations!
I just tested the patch, it also needed a few missing resource files (conn_vproject_icon06.jpg and conn_vproject_icon07.jpg), so I just placed dummy images instead and it works :-)
First thing I notice is that it seems about 2x slower when doing 1000 iterations, but it WORKS!
My knowledge of randomization procedures are too limited to give any feedback on the technical side, but from my results I could compare non-parametric results with parametric results, and also I tried to change the cluster-wise threshold, all the non-parametric results now seem quite correct! As expected, for the exact same threshold type and amount, the non-parametric correction is a bit more conservative than the parametric one, and changing the amount now change the effect size as expected.
So from my practical observations on my dataset, it seems the patch is indeed working very fine! :D
Thank you VERY much Alfonso, that was a very quick and well done patch!
(and BTW I'm very curious what are the 2 new visualization options ;p)
Best regards!
Stephen
That's AWESOME!!! Thank you so much for the patch and the detailed explanations!
I just tested the patch, it also needed a few missing resource files (conn_vproject_icon06.jpg and conn_vproject_icon07.jpg), so I just placed dummy images instead and it works :-)
First thing I notice is that it seems about 2x slower when doing 1000 iterations, but it WORKS!
My knowledge of randomization procedures are too limited to give any feedback on the technical side, but from my results I could compare non-parametric results with parametric results, and also I tried to change the cluster-wise threshold, all the non-parametric results now seem quite correct! As expected, for the exact same threshold type and amount, the non-parametric correction is a bit more conservative than the parametric one, and changing the amount now change the effect size as expected.
So from my practical observations on my dataset, it seems the patch is indeed working very fine! :D
Thank you VERY much Alfonso, that was a very quick and well done patch!
(and BTW I'm very curious what are the 2 new visualization options ;p)
Best regards!
Stephen
Threaded View
Title | Author | Date |
---|---|---|
Stephen L. | Nov 23, 2017 | |
Stephen L. | Nov 27, 2017 | |
Alfonso Nieto-Castanon | Nov 29, 2017 | |
Stephen L. | Nov 30, 2017 | |
Stephen L. | Nov 30, 2017 | |
Stephen L. | Dec 10, 2017 | |
Stephen L. | Dec 10, 2017 | |
Alfonso Nieto-Castanon | Dec 11, 2017 | |
Stephen L. | Feb 8, 2018 | |
Stephen L. | Feb 8, 2018 | |
Stephen L. | Dec 11, 2017 | |