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Functional MRI (fMRI) is 25 years old, yet surprisingly its most common statistical methods has not been properly validated. A recent study published in PNAS has found that that the most common software packages for fMRI analysis can result in false-positive rates of up to 70% instead of expected 5%. These results question the validity of some 40,000 fMRI studies and may have a large impact on the interpretation of neuroimaging results.

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