This article provides a comprehensive framework for researchers and drug development professionals to evaluate motion reduction outcomes from behavioral interventions.
This article provides a comprehensive comparison of motion correction algorithms, addressing a critical challenge in biomedical imaging and drug development.
In-scanner head motion is a pervasive confound in resting-state functional MRI, threatening the validity of brain-wide association studies (BWAS).
This article explores advanced methodologies for detecting motion contamination in structural MRI scans without relying on direct head motion estimates.
Task-based functional magnetic resonance imaging (tb-fMRI) is a powerful tool for probing brain function and individual differences in cognition.
Motion artifacts present a significant challenge to the reliability and reproducibility of large-scale neuroimaging studies, particularly in pediatric and clinical populations.
In-scanner head motion is a pervasive source of spurious findings in brain-behavior association studies, posing a significant threat to the validity of neuroimaging research and its translation to drug development.
Motion artifacts present a significant challenge in Diffusion Tensor Imaging (DTI), potentially compromising data integrity and leading to biased quantitative measures in both research and clinical settings.
This article provides a comprehensive guide for researchers and drug development professionals on addressing motion-related exclusion bias in aging studies.
This article synthesizes current evidence and methodologies for obtaining high-quality, motion-free pediatric MRI without sedation, a critical objective for minimizing anesthetic neurotoxicity risks and streamlining clinical trial imaging.