fMRI clustering and false-positive rates.
نویسندگان
چکیده
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 that the spatial autocorrelation function (ACF) of fMRI noise is Gaussian-shaped; and (iv) a 15-yold bug in AFNI’s 3dClustSim significantly contributed to producing “particularly high” FPRs compared with other software. We repeated simulations from ref. 1 [Beijing_Zang data (2), cf. ref. 3) and comment on each point briefly.
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عنوان ژورنال:
- Proceedings of the National Academy of Sciences of the United States of America
دوره 114 17 شماره
صفحات -
تاریخ انتشار 2017