help > RE: Non-parametric cluster correction single subj
Feb 8, 2018  09:02 PM | Stephen L. - Coma Science Group, GIGA-Consciousness, Hospital & University of Liege
RE: Non-parametric cluster correction single subj
Originally posted by Alfonso Nieto-Castanon:
... The main advantage of this "randomization of residuals" approach (e.g. CONN, FSL) compared to the "permutations of residuals" or purely "permutation" approaches (e.g. SnPM, BROCCOLI) is that it works exactly in the same way for all GLM analyses, while a permutation approach requires different permutation schemes for different sorts of analyses and it does not apply to certain scenarios (e.g. one-sample t-test)...

After reading a bit more about non-parametric issues for functional mri, I think I understand better the above sentence, and that's a great thing you took this approach. When you mention FSL, are referring specifically to FSL PALM? If that's the case, I read that the approaches implemented there are the state-of-the-art and more generic, so that's great if CONN implements a similar approach! :D

Best!
Stephen Larroque

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TitleAuthorDate
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
RE: Non-parametric cluster correction single subj
Stephen L. Feb 8, 2018
Stephen L. Feb 8, 2018
Stephen L. Dec 11, 2017