Head motion during MRI acquisition systematically biases morphometric estimates, causing significant underestimation of cortical gray matter volume and thickness.
This article provides a comprehensive examination of volumetric navigators (vNavs), an advanced MRI technology for prospective motion correction.
This article provides a comprehensive overview of multi-echo fMRI sequences as a powerful solution for mitigating motion artifacts, a pervasive challenge in functional neuroimaging.
Motion artifacts present a significant challenge in obtaining clean physiological signals from wearable sensors used in clinical trials and biomedical research.
This article provides a comprehensive overview of the ABCD-BIDS preprocessing pipeline, with a specialized focus on motion denoising techniques for resting-state fMRI data.
This article synthesizes current research on real-time visual feedback (RTVF) as a powerful tool for reducing unwanted motion in clinical and research settings.
Head motion remains a significant confound in pediatric neuroimaging, compromising data quality and leading to costly data loss.
This article provides a comprehensive examination of PROPELLER (Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction) MRI, a critical motion-resistant technique for structural imaging.
Head motion is a major source of artifact in MRI, threatening data quality in both research and clinical settings.
Global Signal Regression (GSR) remains one of the most contentious preprocessing steps in resting-state functional MRI (rs-fMRI), presenting researchers with a critical dilemma.