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. 2020 May 6;10:131. doi: 10.1038/s41398-020-0805-y

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© The Author(s) 2020

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. 1 — Coronal, axial and sagittal examples of 12 independent components extracted with probabilistic ICA are overlaid on a neonatal term-equivalent template. The spatial representation of the RSN was threshold to a z-statistic between 3 and 10. The 12 ICA networks depicted correspond to somatosensory/motor (paracentral), motor, somatosensory, auditory, lateral visual, mid visual, left and right posterior temporal (temporo-parietal), default mode network (DMN), Frontal (anterior fronto-parietal), Parietal (posterior fronto-parietal) and retrosplenial RSNs.