Lana Vasung, Junshen Xu, Esra Abaci-Turk, Cindy Zhou, Elizabeth Holland, William H Barth, Carol Barnewolt, Susan Connolly, Judy Estroff, Polina Golland, Henry A Feldman, Elfar Adalsteinsson, P Ellen Grant
Early variations of fetal movements are the hallmark of a healthy developing central nervous system. However, there are no automatic methods to quantify the complex 3D motion of the developing fetus in-utero. The aim of this prospective study was to use machine learning (ML) on in-utero MRI to perform quantitative kinematic analysis of fetal limb movement, assessing the impact of maternal, placental, and fetal factors. In this cross-sectional, observational study, we used 76 sets of fetal (24-40 gestational weeks (GW)) blood oxygenation level-dependent (BOLD) MRI scans of 52 women (18-45 years old) during typical pregnancies...
December 20, 2022: Developmental Neuroscience