Variations in structural MRI quality significantly impact commonly used measures of brain anatomy.

ABSTRACT: Subject motion can introduce noise into neuroimaging data and result in biased estimations of brain structure. In-scanner motion can compromise data quality in a number of ways and varies widely across developmental and clinical populations. However, quantification of structural image quality is often limited to proxy or indirect measures gathered from functional scans; this may be missing true differences related to these potential artifacts. In this study, we take advantage of novel informatic tools, the CAT12 toolbox, to more directly measure image quality from T1-weighted images to understand if these measures of image quality: (1) relate to rigorous quality-control checks visually completed by human raters; (2) are associated with sociodemographic variables of interest; (3) influence

SUBMITTER: Gilmore AD 

PROVIDER: S-EPMC8050166 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature