Figure 4 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"

<p>&nbsp;</p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macr&igrave;, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>&quot;Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization&quot;</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p>&nbsp;</p> <p><strong>Fig. 4</strong> <strong>Morphological variation of major brain subdivisions in squamates with different locomotor behaviours.</strong> <strong>a</strong>&ndash;<strong>e</strong> 2D plots of principal component (PC) scores showing the diencephalon (<strong>a</strong>), cerebellum (<strong>b</strong>), telencephalon (<strong>c</strong>), medulla oblongata (<strong>d</strong>) and mesencephalon (<strong>e</strong>) shape distribution of snakes (coloured squares) and lizards (coloured circles) with different locomotor modes (see colour code in bottom right corner). Numbers in brackets indicate the percentage of variance explained by each of the PC axes, and 68% confidence ellipses are shown for each locomotor mode. 2D wireframes illustrate shape changes associated with the first two PCs for each brain subdivision in top and lateral (<strong>a</strong>, <strong>c</strong>, <strong>d</strong>), pial surface and lateral (<strong>b</strong>), or front and lateral (<strong>e</strong>) views.</p>