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Best practices for digitally constructing endocranial casts: examples from birds and their dinosaurian relatives.
Balanoff, Amy M; Bever, G S; Colbert, Matthew W; Clarke, Julia A; Field, Daniel J; Gignac, Paul M; Ksepka, Daniel T; Ridgely, Ryan C; Smith, N Adam; Torres, Christopher R; Walsh, Stig; Witmer, Lawrence M.
Afiliação
  • Balanoff AM; Department of Anatomical Sciences, Stony Brook University, Stony Brook, NY, USA.
  • Bever GS; Department of Anatomy, New York Institute of Technology, College of Osteopathic Medicine, Old Westbury, NY, USA.
  • Colbert MW; Department of Geological Sciences, The University of Texas at Austin, Austin, TX, USA.
  • Clarke JA; Department of Geological Sciences, The University of Texas at Austin, Austin, TX, USA.
  • Field DJ; Department of Geology and Geophysics, Yale University, New Haven, CT, USA.
  • Gignac PM; Department of Anatomy and Cell Biology, Oklahoma State University Center for Health Sciences, Tulsa, OK, USA.
  • Ksepka DT; Bruce Museum, Greenwich, CT, USA.
  • Ridgely RC; Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, USA.
  • Smith NA; Department of Earth Sciences, The Field Museum of Natural History, Chicago, IL, USA.
  • Torres CR; Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA.
  • Walsh S; Department of Natural Sciences, National Museums Scotland, Edinburgh, UK.
  • Witmer LM; Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, USA.
J Anat ; 229(2): 173-90, 2016 08.
Article em En | MEDLINE | ID: mdl-26403623
The rapidly expanding interest in, and availability of, digital tomography data to visualize casts of the vertebrate endocranial cavity housing the brain (endocasts) presents new opportunities and challenges to the field of comparative neuroanatomy. The opportunities are many, ranging from the relatively rapid acquisition of data to the unprecedented ability to integrate critically important fossil taxa. The challenges consist of navigating the logistical barriers that often separate a researcher from high-quality data and minimizing the amount of non-biological variation expressed in endocasts - variation that may confound meaningful and synthetic results. Our purpose here is to outline preferred approaches for acquiring digital tomographic data, converting those data to an endocast, and making those endocasts as meaningful as possible when considered in a comparative context. This review is intended to benefit those just getting started in the field but also serves to initiate further discussion between active endocast researchers regarding the best practices for advancing the discipline. Congruent with the theme of this volume, we draw our examples from birds and the highly encephalized non-avian dinosaurs that comprise closely related outgroups along their phylogenetic stem lineage.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aves / Encéfalo / Imageamento Tridimensional / Dinossauros / Neuroimagem / Anatomia Comparada Tipo de estudo: Guideline Limite: Animals Idioma: En Revista: J Anat Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aves / Encéfalo / Imageamento Tridimensional / Dinossauros / Neuroimagem / Anatomia Comparada Tipo de estudo: Guideline Limite: Animals Idioma: En Revista: J Anat Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos