Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates
نویسندگان
چکیده
منابع مشابه
Commentary: Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates
The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric statistical methods that depend on a variety of assumptions. In this work, we use real resting-state data and a total of 3 million random task group analyses to compute empirical familywise error rates for the fMRI software packages SPM, FSL, and AFNI, as well as a nonparametric permutation method. Fo...
متن کاملCluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates
Division of Medical Informatics, Department of Biomedical Engineering, Linköping University, S-581 85 Linköping, Sweden; Division of Statistics and Machine Learning, Department of Computer and Information Science, Linköping University, S-581 83 Linköping, Sweden; Center for Medical Image Science and Visualization, Linköping University, S-581 83 Linköping, Sweden; Department of Statistics, Unive...
متن کاملCluster success: fMRI inferences for spatial extent have acceptable false-positive rates.
In an editorial (this issue), I argued that Eklund, Nichols, and Knutsson's 'null data' reflected resting-state/default network activity that inflated their false-positive rates. Commentaries on that paper were received by Nichols, Eklund, and Knutsson (this issue), Hopfinger (this issue), and Cunningham and Koscik (this issue). In this author response, I consider these commentaries. Many issue...
متن کاملfMRI 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 ...
متن کاملFMRI Clustering in AFNI: False-Positive Rates Redux
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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 2016
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.1602413113