Harmonizing multisite neonatal diffusion-weighted brain MRI data for developmental neuroscience

Alexandra F. Bonthrone, Manuel Blesa Cábez, A. David Edwards, Jo V. Hajnal, Serena J. Counsell, James P. Boardman
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Abstract

Large diffusion-weighted brain MRI (dMRI) studies in neonates are crucial for developmental neuroscience. Our aim was to investigate the utility of ComBat, and empirical Bayes tool for multisite harmonization, for removing site effects from white matter (WM) dMRI measures in healthy infants born 37-42+6 weeks from the Theirworld Edinburgh Birth Cohort (n=86) and Developing Human Connectome Project (n=287).
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为发育神经科学协调多站点新生儿弥散加权脑磁共振成像数据
对新生儿进行大型弥散加权脑磁共振成像(dMRI)研究对发育神经科学至关重要。我们的目的是研究 ComBat 和经验贝叶斯工具在多部位协调中的实用性,以消除白质(WM)dMRI 测量中的部位效应,研究对象是出生 37-42+6 周的健康婴儿,来自他们的世界爱丁堡出生队列(n=86)和发展中人类连接组项目(n=287)。
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