Cognitive neuroscience has traditionally focused on simple tasks, presented sparsely and
using abstract stimuli. While this approach has yielded fundamental insights into functional …

Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

The human visual system contains an array of topographically organized regions. Identifying
these regions in individual subjects is a powerful approach to group-level statistical analysis …

The goal of resting-state functional magnetic resonance imaging (fMRI) is to investigate the
brain's functional connections by using the temporal similarity between blood oxygenation …

Functional magnetic resonance imaging (fMRI) is a class of imaging methods developed to
demonstrate regional, time-varying changes in brain metabolism. 1–3 These metabolic …

An MRI time course of 512 echo‐planar images (EPI) in resting human brain obtained every
250 ms reveals fluctuations in signal intensity in each pixel that have a physiologic origin …

A package of computer programs for analysis and visualization of three-dimensional human
brain functional magnetic resonance imaging (FMRI) results is described. The software can …

The fourth edition follows the general layout of the third edition but includes some
modernization of topics as well as the coverage of additional topics. The preface to the third …

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 …

Kendall's coefficient concordance (KCC) can measure the similarity of a number of time
series. It has been used for purifying a given cluster in functional MRI (fMRI). In the present …