4.3 Article

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

期刊

JOURNAL OF ANATOMY
卷 229, 期 2, 页码 173-190

出版社

WILEY
DOI: 10.1111/joa.12378

关键词

Aves; brain; comparative neuroanatomy; computed tomography; endocast

资金

  1. National Evolutionary Synthesis Center (NESCent) [NSF EF-0905606]
  2. NSF [DEB-1457181, EAGER 1450850, IBN-0343744, IOB-0517257, IOS-1050154]
  3. NERC [NE/H012176/1] Funding Source: UKRI
  4. Direct For Biological Sciences
  5. Division Of Integrative Organismal Systems [1450850, 1050154, 1456503] Funding Source: National Science Foundation
  6. Directorate For Geosciences
  7. Division Of Earth Sciences [1561622, 1258878] Funding Source: National Science Foundation
  8. Division Of Environmental Biology
  9. Direct For Biological Sciences [1457180, 1457181, 1500798] Funding Source: National Science Foundation
  10. Natural Environment Research Council [NE/H012176/1] Funding Source: researchfish

向作者/读者索取更多资源

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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