We report new random field theory P values for peaks of canonical correlation SPMs for
detecting multiple contrasts in a linear model for multivariate image data. This completes …

A growing number of structural neuroimaging studies have reported significant changes in
gray matter density or volume and white matter microstructure in the adult human brain …

The most widely used task functional magnetic resonance imaging (fMRI) analyses use
parametric statistical methods that depend on a variety of assumptions. In this work, we use …

A large range of sophisticated brain image analysis tools have been developed by the
neuroscience community, greatly advancing the field of human brain map**. Here we …

Autobiographical descriptions and clinician observations suggest that some individuals with
autism, particularly females,'camouflage'their social communication difficulties, which may …

Permutation methods can provide exact control of false positives and allow the use of non-
standard statistics, making only weak assumptions about the data. With the availability of fast …

Cluster-extent based thresholding is currently the most popular method for multiple
comparisons correction of statistical maps in neuroimaging studies, due to its high sensitivity …

Abstract Introduction Bile acids (BAs) are the end products of cholesterol metabolism
produced by human and gut microbiome co-metabolism. Recent evidence suggests gut …

In brain regions containing crossing fibre bundles, voxel-average diffusion MRI measures
such as fractional anisotropy (FA) are difficult to interpret, and lack within-voxel single fibre …

Importance Increasing evidence suggests an important role of liver function in the
pathophysiology of Alzheimer disease (AD). The liver is a major metabolic hub; therefore …