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© 2015 IEEE. The software packages SPM, FSL and AFNI are the most widely used packages for the analysis of functional magnetic resonance imaging (fMRI) data. Despite this fact, the validity of the statistical methods has only been tested using simulated data. By analyzing resting state fMRI data (which should not contain specific forms of brain activity) from 396 healthy controls, we here show that all three software packages give inflated false positive rates (4%-96% compared to the expected 5%). We isolate the sources of these problems and find that SPM mainly suffers from a too simple noise model, while FSL underestimates the spatial smoothness. These results highlight the need of validating the statistical methods being used for fMRI.

Original publication

DOI

10.1109/ISBI.2015.7164132

Type

Conference paper

Publication Date

01/01/2015

Volume

2015-July

Pages

1376 - 1380