Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

Network analytical tools are increasingly being applied to brain imaging maps of resting
metabolic activity (PET) or blood oxygenation-dependent signals (functional MRI) to …

Since the term “random? eld''has a variety of different connotations, ranging from agriculture
to statistical mechanics, let us start by clarifying that, in this book, a random? eld is a …

MRI is increasingly used to study normal and abnormal brain development, but we lack a
clear understanding of “normal”. Previous studies have been limited by small samples …

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 …

Since the mid of 1990s, functional connectivity study using fMRI (fcMRI) has drawn
increasing attention of neuroscientists and computer scientists, since it opens a new window …

How the human brain works is still a question, as is its implication with brain architecture: the
non-trivial structure–function relationship. The main hypothesis is that the anatomic …

In recent years, multiple brain MR imaging modalities have emerged; however, analysis
methodologies have mainly remained modality-specific. In addition, when comparing across …

This is a rambling review of what, with a few notable and significant exceptions, has been a
rather dormant area for over a decade. It concentrates on the septuagenarian problem of …

Partial correlation is a useful connectivity measure for brain networks, especially, when it is
needed to remove the confounding effects in highly correlated networks. Since it is difficult to …