Functional neuroimaging data embodies a massive multiple testing problem, where 100 000
correlated test statistics must be assessed. The familywise error rate, the chance of any false …

I provide a selective review of the literature on the multiple testing problem in fMRI. By
drawing connections with the older modalities, PET in particular, and how software …

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 …

For the past 25 years, the field of neuroimaging has witnessed the development of several
software packages for processing multi-parametric magnetic resonance imaging (mpMRI) to …

Although Galton recognized in the 1880s that some individuals lack visual imagery, this
phenomenon was mostly neglected over the following century. We recently coined the terms …

Resting-state functional connectivity (FC) has helped reveal the intrinsic network
organization of the human brain, yet its relevance to cognitive task activations has been …

Statistical parametric mapping (SPM) is a topological methodology for detecting field
changes in smooth n-dimensional continua. Many classes of biomechanical data are …

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 …

Biomechanical processes are often manifested as one-dimensional (1D) trajectories. It has
been shown that 1D confidence intervals (CIs) are biased when based on 0D statistical …

A variety of biomechanical data are sampled from smooth n-dimensional spatiotemporal
fields. These data are usually analyzed discretely, by extracting summary metrics from …