Pearson’s correlation measures the strength of the association between two variables. The
technique is, however, restricted to linear associations and is overly sensitive to outliers. …

… This work is partially funded by ESRC: ESRC Grant RES-000-22-3209 supported GA Rousselet,
ESRC Grant RES-062-23-1900 supported CR Pernet and GA Rousselet. Cyril R. Pernet …

The Brain Imaging Data Structure (BIDS) project is a rapidly evolving effort in the human brain
imaging research community to create standards allowing researchers to readily organize …

Background In recent years, analyses of event related potentials/fields have moved from the
selection of a few components and peaks to a mass-univariate approach in which the whole …

fMRI studies increasingly examine functions and properties of non-primary areas of human
auditory cortex. However there is currently no standardized localization procedure to reliably …

Associations between two variables, for instance between brain and behavioral measurements,
are often studied using correlations, and in particular Pearson correlation. However, …

… combination of a bar graph and a t-test suggests the two groups of participants differ very
little in cerebellum local grey matter volume (voxel-based morphometric data from Pernet et al., …

Structural brain networks constructed from diffusion MRI (dMRI) and tractography have been
demonstrated in healthy volunteers and more recently in various disorders affecting brain …

Empirical observations of how labs conduct research indicate that the adoption rate of open
practices for transparent, reproducible, and collaborative science remains in its infancy. This …

… In the present study, we further investigated this hypothesis of sample homogeneity by re-analysing
the data from the same subjects tested in Pernet et al. [28]. We looked for brain areas …