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鸟类的端脑和小脑体积可以通过数字化脑内模精确估算。

Avian telencephalon and cerebellum volumes can be accurately estimated from digital brain endocasts.

作者信息

Keirnan Aubrey R, Cunha Felipe, Citron Sara, Prideaux Gavin, Iwaniuk Andrew N, Weisbecker Vera

机构信息

College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia.

Department of Neuroscience, University of Lethbridge, Lethbridge, Alberta, Canada.

出版信息

Biol Lett. 2025 Jan;21(1):20240596. doi: 10.1098/rsbl.2024.0596. Epub 2025 Jan 22.

DOI:10.1098/rsbl.2024.0596
PMID:39837487
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11750377/
Abstract

For studies of the evolution of vertebrate brain anatomy and potentially associated behaviours, reconstructions of digital brain endocasts from computed tomography scans have revolutionized our capacity to collect neuroanatomical data. However, measurements from digital endocasts must be validated as reflecting actual brain anatomy, which is difficult because the collection of soft tissue information through histology is laborious and time-consuming. In birds, the reliability of digital endocast measurements as volume proxies for the two largest brain regions-the telencephalon and cerebellum-remains to be validated despite their use as proxies, e.g. of cognitive performance or flight ability. We here use the largest dataset of histology and digital endocasts to date, including 136 species from 25 avian orders, to compare digital endocast surface area measurements with actual brain volumes of the telencephalon, cerebellum and whole-brain endocast. Using linear and phylogenetically informed regression analyses, we demonstrate that endocast surfaces are strongly correlated with their brain volume counterparts for both absolute and relative size. This provides empirical support for using endocast-derived cerebellar and telencephalic surface areas in existing and future studies of living and extinct birds, with potential to expand to the dinosaur-bird transition in the future.

摘要

对于脊椎动物脑解剖结构及其潜在相关行为的进化研究而言,通过计算机断层扫描重建数字脑内模极大地提升了我们收集神经解剖学数据的能力。然而,必须验证从数字脑内模得出的测量结果是否反映实际脑解剖结构,这颇具难度,因为通过组织学收集软组织信息既费力又耗时。在鸟类中,尽管数字脑内模测量值被用作认知能力或飞行能力等指标的替代值,但其作为两个最大脑区——端脑和小脑的体积替代指标的可靠性仍有待验证。我们在此使用了迄今为止最大的组织学和数字脑内模数据集,涵盖来自25个鸟类目136个物种,以比较数字脑内模表面积测量值与端脑、小脑及全脑内模的实际脑体积。通过线性回归分析和系统发育广义最小二乘法分析,我们证明,无论是绝对大小还是相对大小,脑内模表面与其对应的脑体积都密切相关。这为在现存和已灭绝鸟类的现有及未来研究中使用基于脑内模得出的小脑和端脑表面积测量值提供了实证支持,未来还有可能扩展到恐龙 - 鸟类过渡阶段的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab01/11750377/787f52b5d97d/rsbl.2024.0596.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab01/11750377/45e4d086a231/rsbl.2024.0596.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab01/11750377/367b71aa1f60/rsbl.2024.0596.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab01/11750377/787f52b5d97d/rsbl.2024.0596.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab01/11750377/45e4d086a231/rsbl.2024.0596.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab01/11750377/367b71aa1f60/rsbl.2024.0596.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab01/11750377/787f52b5d97d/rsbl.2024.0596.f003.jpg

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Bioscience. 2024 Mar 6;74(3):169-186. doi: 10.1093/biosci/biad120. eCollection 2024 Mar.
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Comparative anatomy of the passerine carpometacarpus helps illuminate the early fossil record of crown Passeriformes.
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Comprehensive taxon sampling and vetted fossils help clarify the time tree of shorebirds (Aves, Charadriiformes).全面的分类群采样和经过审查的化石有助于阐明滨鸟(鸟类,Charadriiformes)的时间树。
Mol Phylogenet Evol. 2022 Dec;177:107620. doi: 10.1016/j.ympev.2022.107620. Epub 2022 Aug 28.
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