… We evaluate these approaches on t images using simulations and a collection of real
datasets. We find that Bonferroni-related tests offer little improvement over Bonferroni, while the …

Functional neuroimaging techniques have transformed our ability to probe the neurobiological
basis of behaviour and are increasingly being applied by the wider neuroscience …

Spontaneous fluctuations in activity in different parts of the brain can be used to study functional
brain networks. We review the use of resting-state functional MRI (rfMRI) for the purpose …

In an age where the amount of data collected from brain imaging is increasing constantly, it
is of critical importance to analyse those data within an accepted framework to ensure proper …

There has been much recent interest in using magnetic resonance diffusion imaging to
provide information about anatomical connectivity in the brain, by measuring the anisotropic …

… We write the term indicator for study i as T i = (T ik ), a length-n T binary vector marking
each term 'present' (frequency above the cut-off) or 'absent' (frequency below the cut off). …

Magnetic resonance imaging (MRI) has transformed our understanding of the human brain
through well-replicated mapping of abilities to specific structures (for example, lesion studies) …

… 9, we show the TFCE-enhanced t-statistic images and the thresholded significance maps
for a range of E and H values. Where E is large, or greater than H, the enhanced maps are …

… For example, a t threshold of 6 and a P value of less than 0.001 are commonly used,
though … A modified 2-T Siemens scanner was used to collect T*2-weighted EPI images. The …

… , all of the t i are equally likely, so we determine the significance of our observed statistic T
by counting the proportion of the permutation distribution as or more extreme than T, giving us …