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.
Motion artifacts present a significant challenge to the validity of volumetric analysis in neuroimaging and drug development.
Motion artifact remains a significant impediment to robust functional Magnetic Resonance Imaging (fMRI) analysis, particularly in clinical and developmental populations.
This article provides a comprehensive overview of real-time functional magnetic resonance imaging (rt-fMRI) motion tracking software, a critical tool for enhancing data quality in both neuroscience research and clinical drug...