A mosaic pattern characterizes the evolution of the avian brain
Open accessAbstract
Diversity in vertebrate brain size and composition is thought to arise from either developmental constraints that cause coordinated changes between brain regions or a mosaic model, whereby changes in individual brain regions are independent of changes in other brain regions. These two mechanisms were tested in birds using multiple regression analyses. Across 13 orders, significant correlations were present between some brain regions, but not all. Most of the correlated changes reflect the connectivity between different brain components, such that regions with the most interconnections are correlated with one another but not other brain regions. Whether mosaic changes are characteristic of brain regions or systems in birds, however, to our knowledge, remains to be investigated.
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The strong correlation between FFV and BCEVr indicates that changes in the region's size must generally keep pace with those of overall brain size during evolution.
“The strong correlation between FFV and BCEVr indicates that changes in the region’s size must generally keep pace with those of overall brain size during evolution, even though overall size changes may be a result of mosaic rather than concerted regional size change [48].”
From Avian Cerebellar Floccular Fossa Size Is Not a Proxy for Flying Ability in Birds (2013) · cites this paper as [48]
Cites
Phylogenies and the Comparative Method
Felsenstein, J. (1985) · The American Naturalist · doi:10.1086/284325 · Cited by 9,793 · see citing works
Developmental structure in brain evolution
Finlay, B. L., Darlington, R. B., & Nicastro, N. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01003958 · Cited by 442 · see citing works
Evolutionary radiation of visual and olfactory brain systems in primates, bats and insectivores
Barton, R. A., Purvis, A., & Harvey, P. H. (1995) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.1995.0076 · Cited by 352 · see citing works
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A critique of comparative studies of brain size
Healy, S. D., & Rowe, C. (2007) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2006.3748 · Cited by 528 · see citing works
The Evolution of Cerebrotypes in Birds
Iwaniuk, A. N., & Hurd, P. L. (2005) · Brain, Behavior and Evolution · doi:10.1159/000084313 · Cited by 205 · see citing works
Self-citationAllocating structure to function: the strong links between neuroplasticity and natural selection
Anderson, M. L., & Finlay, B. L. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00918 · Cited by 115 · see citing works
“Considering the adaptive value of conserved scaling, and its niche-independent, brain-size-dependent features, a molar and a molecular account can both be given.”
BackgroundAvian Cerebellar Floccular Fossa Size Is Not a Proxy for Flying Ability in Birds
Walsh, S. A., Iwaniuk, A. N., Knoll, M. A., Bourdon, E., Barrett, P. M., Milner, A. C., Nudds, R. L., Abel, R. L., & Sterpaio, P. D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067176 · Cited by 105 · see citing works
“The strong correlation between FFV and BCEVr indicates that changes in the region’s size must generally keep pace with those of overall brain size during evolution, even though overall size changes may be a result of mosaic rather than concerted regional size change [48].”
BackgroundSelf-citationAvian brain evolution: new data from Palaeogene birds (Lower Eocene) from England
MILNER, A. C., & WALSH, S. A. (2009) · Zoological Journal of the Linnean Society · doi:10.1111/j.1096-3642.2008.00443.x · Cited by 72 · see citing works
Balanoff, A. M., Smaers, J. B., & Turner, A. H. (2016) · Journal of Anatomy · doi:10.1111/joa.12403 · Cited by 46 · see citing works
Evolution of the Avian Brain and Senses
Walsh, S., & Milner, A. (2011) · Living Dinosaurs · doi:10.1002/9781119990475.ch11 · Cited by 37 · see citing works
Understanding the Evolution of Mammalian Brain Structures; the Need for a (New) Cerebrotype Approach
Willemet, R. (2012) · Brain Sciences · doi:10.3390/brainsci2020203 · Cited by 25 · see citing works
- Authors
- Iwaniuk, A. N., Dean, K. M., & Nelson, J. E.
- Affiliations
- Monash University (AU)
- Corresponding author
- Iwaniuk, Andrew N.
- ORCID
- Iwaniuk, Andrew N.
- Venue
- Proceedings of the Royal Society of London. Series B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2004-05-07
- Volume
- 271
- Issue
- suppl_4
- Pages
- S148-51
- ISSN
- 0080-4649 (ISSN-L)
- 0962-8452
- 1471-2954
- PMC
- PMC1810043
- OpenAlex
- W2013330421
- Cited by
- 101
- References
- 3
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 4 · 2023: 1 · 2022: 2 · 2021: 11 · 2020: 6 · 2019: 4 · 2018: 6 · 2017: 5 · 2016: 7 · 2015: 8 · 2014: 7 · 2013: 7 · 2012: 3
- FWCI
- 5.39
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the Royal Society B Biological Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Monash University
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Physical Sciences › Mathematics › Geometry and Topology › Morphological variations and asymmetry
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Behavior and Reproduction
- Social Sciences › Psychology › Social Psychology › Primate Behavior and Ecology
- Keywords
- avian brain evolution, brain size, mosaic evolution, developmental constraints, brain connectivity, brain systems
- MeSH terms
- Animals, Biometry, Birds, Body Weights and Measures, Brain, Biological Evolution, Models, Biological, Phylogeny, Regression Analysis
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