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J Anat. 2016 Aug;229(2):173-90. doi: 10.1111/joa.12378. Epub 2015 Sep 25.

Best practices for digitally constructing endocranial casts: examples from birds and their dinosaurian relatives.

Author information

1
Department of Anatomical Sciences, Stony Brook University, Stony Brook, NY, USA.
2
Department of Anatomy, New York Institute of Technology, College of Osteopathic Medicine, Old Westbury, NY, USA.
3
Department of Geological Sciences, The University of Texas at Austin, Austin, TX, USA.
4
Department of Geology and Geophysics, Yale University, New Haven, CT, USA.
5
Department of Anatomy and Cell Biology, Oklahoma State University Center for Health Sciences, Tulsa, OK, USA.
6
Bruce Museum, Greenwich, CT, USA.
7
Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, USA.
8
Department of Earth Sciences, The Field Museum of Natural History, Chicago, IL, USA.
9
Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA.
10
Department of Natural Sciences, National Museums Scotland, Edinburgh, UK.

Abstract

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.

KEYWORDS:

Aves; brain; comparative neuroanatomy; computed tomography; endocast

PMID:
26403623
DOI:
10.1111/joa.12378
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