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. 2021 Oct 14;11:20407. doi: 10.1038/s41598-021-99538-9

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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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Patterns of developing spontaneous activity in neuronal networks using clustering analysis. (a,d) Graphs display three developmental patterns for the features of Ch. bursts (a) and STTC identified by k-means clustering of the SOM. The lines represent the means of the observations, labelled by k-means, and the shaded areas represent the 95% confidence intervals. (b,e) Examples of raster plots (left panels) and connectivity maps (right panels) of neuronal networks included in either cluster 3 of Ch. bursts (b) or cluster 2 of STTC (e). Horizontal scale bar in raster plots, 20 s. Color of the edges between nodes in connectivity maps represents Pearson’s correlation. (c,f) Changes in Ch. bursts, STTC, Network spikes, Network bursts, and Efficiency between DIV 6–8 and 13–18 in each cluster of Ch. bursts (c) and STTC (f). The box plots show the median and the interquartile range with Tukey whiskers. Clusters are indicated on top of the graphs. The figure was created using Graphpad 8.0 (https://www.graphpad.com) (c,f), Neuroexplorer 5 (https://plexon.com/products/neuroexplorer/), Matlab 9.8 (https://www.mathworks.com/products/matlab.html) (b,e), and R 4.03 (https://www.r-project.org/) (a, d).