The researchers found algorithmic errors in the commonly used functional magnetic resonance imaging (fMRI) software  They collected the examination results of 499 healthy people at rest and found that the statistical method needed to be verified by real cases
At present, the false positive rate of fMRI software which is commonly used to diagnose brain function is more than 70%
 This means that software can sometimes be so wrong that even when the brain is still, it shows activity-the activity shown by the software is the product of software algorithms, not the brain being studied is actually active