Abstract
The endocranial cavity is a major source of information for the assessment of brain morphology in extinct species. Digital molds of the endocranium can be reconstructed from fossil remains. In paleoneurology, these so-called endocasts are examined using shape analysis and multivariate statistical methods to quantify differences among species and individuals. These surfaces are relatively smooth and offer few landmarks; as such, morphometric comparisons are not straightforward, and correspondence search algorithms are necessary to identify loci of equivalent anatomical variation. Many solutions to this so-called correspondence problem have been proposed, but these often require considerable manual input. Here, we present the application in paleoneurology of a correspondence search and symmetrization algorithm originally designed for facial and palatal scans. Homologous representations of surfaces were used to render a computed visualization of differences in shape between modern humans, Neanderthals, archaic humans, and chimpanzees.
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Acknowledgments
JD and JP are supported by the grant SVV-2016-260332. ASPP is funded by the Atapuerca Foundation, Spain. GRL is funded by the International Erasmus Mundus Doctorate in Quaternary and Prehistory consortium (IDQP). EB is supported by the Spanish Government (CGL2012-38434-C03-02).
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Dupej, J., Rangel de Lázaro, G., Pereira-Pedro, A.S., Píšová, H., Pelikán, J., Bruner, E. (2018). Comparing Endocranial Surfaces: Mesh Superimposition and Coherent Point Drift Registration. In: Bruner, E., Ogihara, N., Tanabe, H. (eds) Digital Endocasts. Replacement of Neanderthals by Modern Humans Series. Springer, Tokyo. https://doi.org/10.1007/978-4-431-56582-6_10
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