Evidence map›Paper›PMID 39837487›Full record

ArticleBiology letters2025

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

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

Abstract read
In one paragraph

Article in Biology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Aubrey R KeirnanCollege of Science and Engineering, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0002-4033-6217
Felipe CunhaDepartment of Neuroscience, University of Lethbridge, Lethbridge, Alberta, Canada.ORCID 0000-0002-3656-732X
Sara CitronDepartment of Neuroscience, University of Lethbridge, Lethbridge, Alberta, Canada.ORCID 0009-0006-8138-3905
Gavin PrideauxCollege of Science and Engineering, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0002-9958-0265
Andrew N IwaniukDepartment of Neuroscience, University of Lethbridge, Lethbridge, Alberta, Canada.ORCID 0000-0001-9273-3655
Vera WeisbeckerCollege of Science and Engineering, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0003-2370-4046

Funding

Australian Research Council Future Fellowship grant no. FT180100634 to V.W.
6 · The paper itself

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.

Indexed as

BirdsCerebellumTelencephalonAnimalsOrgan SizeTomography, X-Ray Computedbirdscerebellumcomparative neuroanatomyendocasttelencephalonvertebrate brain

Identifiers

PMID39837487
PMCPMC11750377

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.