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. 2019 Sep 10;9:12938. doi: 10.1038/s41598-019-49350-3

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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(a,b) Volumes of the automatic segmentations for myelin-like signals (MLS) in the deep brain region and brainstem obtained using the proposed segmentation method, (c,d) volume fractions of MLS plotted against the gestational ages at scan (GAs) of 114 subjects between 29 and 44 weeks GA. In deep brain region the MLS volume appears to grow exponentially with GA, and this trend persists in the MLS volume fraction after correcting for the different sizes of the deep brain region in individual subjects. In brainstem the trend for MLS volume appears nearly linear with GA, which results in an almost constant MLS volume fraction after correcting for the different sizes of the brainstem in individual subjects.