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. 2021 Feb 17;12:1080. doi: 10.1038/s41467-021-21387-x

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© The Author(s) 2021

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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Fig. 2 — (CBV cerebral blood volume). a Schematic view of the ultrasound plane of interest (white rectangle) registered on MRI atlas. b Example of normalized 10-min long CBV time courses obtained with fUS and averaged over three cerebral areas. The Pearson correlation coefficients r are computed between the signals. r = 0.9 for FLR vs FLL, r = 0.4 for FLR vs LNR. c Markropoulos atlas (white boundaries) overlaid on a doppler image in the plane of interest. The CBV is averaged in each zone and the correlation coefficients are computed for every pair of CBV time courses (see panel b for an example), leading to the adjacent connectivity matrix. This matrix is obtained by averaging the results over N = 6 very preterm infants born at 28 ± 2 weeks gestation and imaged at postnatal day 9 ± 3. d “Connectome" represented as links between different cerebral regions’ centroids according to correlation coefficients. Source data are provided as a Source Data file.