Comparing Endocranial Surfaces: Mesh Superimposition and Coherent Point Drift Registration

Dupej, Ján; Lázaro, Gizéh Rangel de; Pereira‐Pedro, Ana Sofia; Píšová, Hana; Pelikán, Josef; Bruner, Emiliano

doi:10.1007/978-4-431-56582-6_10

Cited by 7 publications

(7 citation statements)

References 30 publications

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Section: Brain and Braincasementioning

confidence: 99%

“…Such models are also used in paleoneurology, using spatial coordinates to analyze form (d) or surface (e) variations of the endocranial casts. Images and digital reconstructions after Bruner, Grimaud-Hervé, Wu, De la Cuétara, and Holloway (2015); Bruner, Preuss, Chen, and Rilling (2017), and Dupej et al (2018) differences between groups or correlations between form variation and environmental factors. In neuroanatomy, spatial models are also useful to determine the degree of integration or modularity of different cortical regions, that is their covariance or, in contrast, independence, through ontogeny and evolution Sherwood & Gómez-Robles, 2017).…”

Section: Digital Anatomy and Computed Morphometricsmentioning

confidence: 99%

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Human paleoneurology: Shaping cortical evolution in fossil hominids

Bruner

2019

J of Comparative Neurology

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Evolutionary neuroanatomy must integrate two different sources of information, namely from fossil and from living species. Fossils supply information concerning the process of evolution, whereas living species supply information on the product of evolution. Unfortunately, the fossil record is partial and fragmented, and often cannot support validations for specific evolutionary hypotheses. Living species can provide more comprehensive indications, but they do not represent ancestral groups or primitive forms. Macaques or chimpanzees are frequently used as proxy for human ancestral conditions, despite the fact they are divergent and specialized lineages, with their own biological features. Similarly, in paleoanthropology independent lineages (such as Neanderthals) should not be confused with ancestral modern human stages. In this comparative framework, paleoneurology deals with the analysis of the endocranial cavity in extinct species, in order to make inferences on brain evolution. A main target of this field is to distinguish the endocranial variations due to brain changes, from those due to cranial constraints. Digital anatomy and computed morphometrics have provided major advances in this field. However, brains and endocasts can be hard to analyze with geometrical models, because of uncertainties due to the localization of cortical landmarks and boundaries. The study of the evolution of the parietal cortex supplies an interesting case‐study in which paleontological and neontological data can integrate and test evolutionary hypotheses based on multiple sources of evidence. The relationships with visuospatial functions and brain–body–tool integration stress further that the analysis of the cognitive system should go beyond the neural boundaries of the brain.

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Section: Brain and Braincasementioning

confidence: 99%

Section: Digital Anatomy and Computed Morphometricsmentioning

confidence: 99%

Human paleoneurology: Shaping cortical evolution in fossil hominids

Bruner

2019

J of Comparative Neurology

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“…The introduction of sliding landmarks notably enhanced the geometric morphometric toolkit, with crucial applications in paleoneurology Gunz et al, 2010;Ponce de León et al, 2016). A second advance was based not on landmarks but on surfaces, by comparing the overall geometry of 3D objects using different criteria, registration procedures, and numerical approaches (e.g., Specht et al, 2007;Durrleman et al, 2012;Beaudet et al, 2016;Dupej et al, 2018). Sliding landmarks and surface analysis allow a finer geometric modeling of the anatomical forms, extending the resolution and applicability of form morphometrics, mostly in those fields (like paleoneurology) in which the anatomical elements are particularly void of consistent spatial references.…”

Section: Shaping Anatomymentioning

confidence: 99%

“…During registration, sliding landmarks are allowed to move tangentially according to their neighborhood landmarks in order to minimize differences in terms of spatial distances or bending energy (1). Surface analysis can be useful to quantify 3D differences on smooth objects, like endocasts: frontal lobe differences between a modern human and an archaic human (2; after figure 3 of Beaudet and Bruner [2017]), and endocranial differences between modern human and chimpanzee (3; after figure 3 of Dupej et al [2018]). In both cases, maps show, in red, regions of relative dilation in modern humans.…”

Section: Sliding Brainsmentioning

confidence: 99%

Surfin’ endocasts: The good and the bad on brain form

Bruner

Ogihara

2018

Palaeontol Electron

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“…More recently, new methods based on surface deformation are emerging in the effort to overcome problems associated with correspondence and localization of landmarks (Dupej et al, ; Durrleman, Pennec, Trouvé, Ayache, & Braga, ). Beaudet et al () applied landmark‐free surface deformation methods, coupled with automatic detection of sulcal patterns, for quantifying the shape variation in cercopithecoid endocasts.…”

Section: Introductionmentioning

confidence: 99%

Parietal lobe variation in cercopithecid endocasts

Pereira‐Pedro

Beaudet

Bruner

2019

American J Primatol

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In extant primates, the posterior parietal cortex is involved in visuospatial integration, attention, and eye-hand coordination, which are crucial functions for foraging and feeding behaviors. Paleoneurology studies brain evolution through the analysis of endocasts, that is molds of the inner surface of the braincase. These may preserve imprints of cortical structures, such as sulci, which might be of interest for locating the boundaries of major cortical regions. Old World monkeys (Cercopithecidae) represent an interesting zoological group for evolutionary studies, because of their diverse ecologies and locomotor behaviors. In this study, we quantify parietal lobe variation within the cercopithecid family, in a sample of 30 endocasts including 11 genera and 17 species, by combining landmark-based and landmark-free geometric morphometric analyses. More specifically, we quantitatively assess variation of the parietal proportions based on landmarks placed on reliable anatomical references and of parietal lobe surface morphology through deformation-based methods. The main feature associated with the cercopithecid endocranial variation regards the inverse proportions of parietal and occipital lobes, with colobines, Theropithecus, and Papio displaying relatively larger parietal lobes and smaller occipital lobes compared with cercopithecins. The parietal surface is anteroposteriorly longer and mediolaterally flatter in colobines, while longitudinally shorter but laterally bulging in baboons. Large parietal lobes in colobines and baboons are likely to be independent evolutionary traits, and not necessarily associated with analogous functions or morphogenetic mechanisms.

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Comparing Endocranial Surfaces: Mesh Superimposition and Coherent Point Drift Registration

Cited by 7 publications

References 30 publications

Human paleoneurology: Shaping cortical evolution in fossil hominids

Human paleoneurology: Shaping cortical evolution in fossil hominids

Surfin’ endocasts: The good and the bad on brain form

Parietal lobe variation in cercopithecid endocasts

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