Highlights The manuscript presents a method to calculate sample sizes for fMRI experiments
The power analysis is based on the estimation of the mixture distribution of null and active …

… Baptist Liefooghe and Jasper Degryse contributed equally to this article. This research was
supported by Grant BOF09/01M00209 from Ghent University. The authors are indebted to …

In fMRI research, one often aims to examine activation in specific functional regions of
interest (fROIs). Current statistical methods tend to localize fROIs inconsistently, focusing on …

There is increasing concern about statistical power in neuroscience research: an
underpowered study has poor predictive power (Ioannidis, 2005).⇒ A power analysis is a …

In over two decades, functional magnetic resonance imaging (fMRI) has become the most
used method to study the function of the human brain. Since its development in 1992 by …

Background To increase power when analyzing fMRI data, researchers often define functional
regions of interest (fROIs). It is crucial that this fROI is defined with an optimal balance …

In fMRI, localizer tasks are often used to define and examine the activity of functional regions
of interest (fROIs). Current statistical methods tend to localize fROIs inconsistently, only …

In fMRI research, one often aims to examine activation in specific functional regions of
interest (fROIs). Current statistical methods tend to localize fROIs inconsistently, only avoiding …

In an fMRI analysis, testing activation in each of over 100,000 voxels induces a huge multiple
testing problem. To guard against an explosion of false positives (FPs), thresholding is …

Detectability of BOLD signal change is determined by temporal SNR (tSNR, mean divided by
standard deviation of the signal over time), and ultimately determines how long needs to be …