Dynamics of resting-state functional magnetic resonance imaging (fMRI) provide a new
window onto the organizational principles of brain function. Using state-of-the-art signal …

Confirmatory approaches to fMRI data analysis look for evidence for the presence of pre-
defined regressors modeling contributions to the voxel time series, including the BOLD …

Purpose: Several adult studies have documented the importance of the peri-stroke areas to
aphasia recovery. But, studies examining the differences in patterns of cortical participation …

This book explores various state-of-the-art aspects behind the statistical analysis of
neuroimaging data. It examines the development of novel statistical approaches to model …

Pediatric neuroimaging is increasingly providing insights into the neural basis of cognitive
development. Indeed, we have now arrived at a stage where we can begin to identify …

Subject‐specific artifacts caused by head motion and physiological noise are major
confounds in BOLD fMRI analyses. However, there is little consensus on the optimal choice …

Producing gesture can be a powerful tool for facilitating learning. This effect has been
replicated across a variety of academic domains, including algebra, chemistry, geometry …

BOLD fMRI is sensitive to blood-oxygenation changes correlated with brain function;
however, it is limited by relatively weak signal and significant noise confounds. Many …

Head movement during functional magnetic resonance imaging (fMRI) degrades data
quality. The effects of small movements can be ameliorated during data postprocessing, but …

The presence of physiological noise in functional MRI can greatly limit the sensitivity and
accuracy of BOLD signal measurements, and produce significant false positives. There are …