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Title: Biomedical imaging, geometric models, and multivariate statistics: basic tools for paleoneurology
Authors: Bruner, Emiliano
Keywords: Neuroimaging
Issue Date: Jul-2008
Publisher: Frontiers Media
Citation: Frontiers in Neuroinformatics. Conference Abstract: Neuroinformatics 2008
Abstract: Computed tomography was applied to analyse the anatomical structures in fossil specimens since its early development. Anyway, those computed facilities become widespread and competitive in morphometrics at the end of the past century, following the availability of software and high-resolution scanners. Currently, no paleoanthropological laboratory can be planned without expertise in digital tools and biomedical imaging facilities. Almost in the same years, morphometrics underwent a definite revolution because of the development of geometric morphometrics, based on landmarks, geometric models, thin-plate spline interpolant function, Procrustes superimposition, and multivariate statistics. Again, the availability of software and hardware made this transition possible, since its early introduction back in the first half of the 20th century by D’Arcy Thompson. Multivariate statistics provided also the basic framework for the re-discovery and implementation of another neglected promise: morphological integration. Further applications come from rapid prototyping and laser scans. Digital models and multivariate statistics allow considering anatomical structures not as a sum of single traits, but as combination of relationships, associated with functional and structural dynamic environments. Paleoneurology, as the study of the endocranial morphology in the extinct species, was particularly affected by such conceptual and methodological tools. The endocranial anatomy hidden in fossil specimens or geological matrices become available. Geometric models supported comparative approaches between species and populations. Multivariate statistics and functional craniology provided the basic framework to analyse the relationship (both evolutionary and morphogenetic) between brain and braincase.
Description: Ponencia presentada en: 1st INCF Congress of Neuroinformatics: Databasing and Modeling the Brain, 7-9 de septiembre 2008, Stockholm, Suecia
DOI: 10.3389/conf.neuro.11.2008.01.072
Type: Presentation
Appears in Collections:Congresos, encuentros científicos y estancias de investigación

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