fMRI clustering and false-positive rates
نویسندگان
چکیده
منابع مشابه
fMRI clustering and false-positive rates.
Recently, Eklund et al. (1) analyzed clustering methods in standard fMRI packages: AFNI (which we maintain), FSL, and SPM. They claim that (i ) false-positive rates (FPRs) in traditional approaches are greatly inflated, questioning the validity of “countless published fMRI studies”; (ii ) nonparametric methods produce valid, but slightly conservative, FPRs; (iii ) a common flawed assumption is ...
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Recent reports of inflated false-positive rates (FPRs) in FMRI group analysis tools by Eklund and associates in 2016 have become a large topic within (and outside) neuroimaging. They concluded that existing parametric methods for determining statistically significant clusters had greatly inflated FPRs ("up to 70%," mainly due to the faulty assumption that the noise spatial autocorrelation funct...
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ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 2017
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.1614961114