Quantitative biomarkers from medical images are becoming important tools for clinical
diagnosis, staging, monitoring, treatment planning, and development of new therapies …

This article reviews the evaluation and optimization of the preprocessing steps for blood-
oxygenation-level-dependent (BOLD) functional magnetic resonance imaging (fMRI). This …

Neuroimaging has seen a paradigm shift away from a formal description of local activity
patterns towards studying distributed brain networks. The recently defined framework of the …

Abstract Motion‐contaminated T1‐weighted (T1w) magnetic resonance imaging (MRI)
results in misestimates of brain structure. Because conventional T1w scans are not collected …

We introduce SimTB, a MATLAB toolbox designed to simulate functional magnetic
resonance imaging (fMRI) datasets under a model of spatiotemporal separability. The …

The purpose of the present study is to identify otherwise occult white matter abnormalities in
patients suffering persistent cognitive impairment due to mild traumatic brain injury (TBI) …

Patient motion during an MRI exam can result in major degradation of image quality, and is
of increasing concern due to the aging population and its associated diseases. This work …

MRI has advanced to being one of the major tools for the assessment of brain function. This
review article examines the basic principles that underpin these measurements. The main …

Motion correction of fMRI data is a widely used step prior to data analysis. In this study, a
comparison of the motion correction tools provided by several leading fMRI analysis …

Head motion in functional MRI and resting-state MRI is a major problem. Existing methods
do not robustly reflect the true level of motion artifact for in vivo fMRI data. The primary issue …