jm + neuroimaging   1

MRI software bugs could upend years of research - The Register
In their paper at PNAS, they write: “the most common software packages for fMRI analysis (SPM, FSL, AFNI) can result in false-positive rates of up to 70%. These results question the validity of some 40,000 fMRI studies and may have a large impact on the interpretation of neuroimaging results.”

For example, a bug that's been sitting in a package called 3dClustSim for 15 years, fixed in May 2015, produced bad results (3dClustSim is part of the AFNI suite; the others are SPM and FSL). That's not a gentle nudge that some results might be overstated: it's more like making a bonfire of thousands of scientific papers.

Further: “Our results suggest that the principal cause of the invalid cluster inferences is spatial autocorrelation functions that do not follow the assumed Gaussian shape”.

The researchers used published fMRI results, and along the way they swipe the fMRI community for their “lamentable archiving and data-sharing practices” that prevent most of the discipline's body of work being re-analysed. ®
fmri  science  mri  statistics  cluster-inference  autocorrelation  data  papers  medicine  false-positives  fps  neuroimaging 
july 2016 by jm

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