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Dataset Information

Head Motion in Diffusion Magnetic Resonance Imaging: Quantification, Mitigation, and Structural Associations in Large, Cross-Sectional Datasets Across the Lifespan.


ABSTRACT: Head motion during diffusion magnetic resonance imaging (MRI) scans can cause numerous artifacts and biases subsequent quantification. However, a thorough characterization of motion across multiple scans, cohorts, and consortiums has not been performed. To address this, we designed a study with three aims. First, we aimed to characterize subject motion across several large cohorts, utilizing 13 cohorts comprised of 16,995 imaging sessions (age 0.1-100 years, mean age = 63 years; 7220 females; 3175 cognitively impaired adults; 471 developmentally delayed children) to describe the magnitude and directions of subject movement. Second, we aimed to investigate whether state-of-the-art diffusion preprocessing pipelines mitigate biases in quantitative measures of microstructure and connectivity b

SUBMITTER: Schilling KG 

PROVIDER: S-EPMC11814480 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature