Here we address an important issue that has been embedded within the neuroimaging
community for a long time: the absence of effect estimates in results reporting in the …

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 …

Standard neuroimaging data analysis based on traditional principles of experimental
design, modelling, and statistical inference is increasingly complemented by novel analysis …

The demand for reproducibility has reached fever pitch in scientific research (Baker, 2015),
in particular in the field of psychology where many classic studies of human behaviour have …

As the number of neuroimaging studies that investigate psychological phenomena grows, it
becomes increasingly difficult to integrate the knowledge that has accrued across studies …

Temporal autocorrelation, spatial coherency, and their effects on voxel-wise parametric
statistics were examined in BOLD fMRI null-hypothesis, or “noise,” datasets. Seventeen …

Most neuroimaging studies display results that represent only a tiny fraction of the collected
data. While it is conventional to present" only the significant results" to the reader, here we …

Functional magnetic resonance imaging (fMRI) can be used to detect experimental effects
on brain activity across measurements. The success of such studies depends on the size of …

The aim of group fMRI studies is to relate contrasts of tasks or stimuli to regional brain
activity increases. These studies typically involve 10 to 16 subjects. The average regional …

There is much interest in translating neuroimaging findings into meaningful clinical
diagnostics. The goal of scientific discoveries differs from clinical diagnostics. Scientific …