Alzheimer's disease (AD) is a progressive, neurodegenerative disorder that affects memory,
thinking, behavior, and other cognitive functions. Although there is no cure, detecting AD …

Background Accurate psychiatric risk assessment requires biomarkers that are both stable
and adaptable to development. Functional network connectivity (FNC), which steadily …

Time‐resolved decoding of speed and risk perception in car driving is important for
understanding the perceptual processes related to driving safety. In this study, we used an …

Abstract Neurovascular 4D-Flow MRI has emerged as a powerful tool for comprehensive
cerebrovascular hemodynamic characterization. Clinical studies in at risk populations such …

Functional MRI (fMRI) data are severely distorted by magnetic field (B0) inhomogeneities
which currently must be corrected using separately acquired field map data. However …

Head motion during diffusion magnetic resonance imaging (MRI) scans can cause
numerous artifacts and biases subsequent quantification. However, a thorough …

Introduction While traditional neuroimaging approaches to the study of executive functions
(EFs) have typically employed task-evoked paradigms, resting state studies are gaining …

Purpose: Magnetization prepared rapid acquisition with gradient echo (MPRAGE) sequence
is a gold-standard technique for voxel-based morphometry (VBM) because of high spatial …

Head motion is a significant source of artifacts in resting-state fMRI (rsfMRI) studies and has
been shown to affect resting-state functional connectivity (rsFC) measurements. In many …

Analysis of resting state fMRI (rs‐fMRI) typically excludes images substantially degraded by
subject motion. However, data quality, including degree of motion, relates to a broad set of …