Cited by 112Primate Behavior and EcologyEvolution and Paleontology StudiesMorphological variations and asymmetry

The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index; none of the 79 sources its claims cite is checked for support yet.

Brain reorganization, not relative brain size, primarily characterizes anthropoid brain evolution

Open access
Smaers, J. B., Soligo, C.·2013·Proceedings of the Royal Society B: Biological Sciences

Abstract

Comparative analyses of primate brain evolution have highlighted changes in size and internal organization as key factors underlying species diversity. It remains, however, unclear (i) how much variation in mosaic brain reorganization versus variation in relative brain size contributes to explaining the structural neural diversity observed across species, (ii) which mosaic changes contribute most to explaining diversity, and (iii) what the temporal origin, rates and processes are that underlie evolutionary shifts in mosaic reorganization for individual branches of the primate tree of life. We address these questions by combining novel comparative methods that allow assessing the temporal origin, rate and process of evolutionary changes on individual branches of the tree of life, with newly available data on volumes of key brain structures (prefrontal cortex, frontal motor areas and cerebrocerebellum) for a sample of 17 species (including humans). We identify patterns of mosaic change in brain evolution that mirror brain systems previously identified by electrophysiological and anatomical tract-tracing studies in non-human primates and functional connectivity MRI studies in humans. Across more than 40 Myr of anthropoid primate evolution, mosaic changes contribute more to explaining neural diversity than changes in relative brain size, and different mosaic patterns are differentially selected for when brains increase or decrease in size. We identify lineage-specific evolutionary specializations for all branches of the tree of life covered by our sample and demonstrate deep evolutionary roots for mosaic patterns associated with motor control and learning.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Across 17 anthropoid primates, mosaic brain reorganization explains more neural diversity than changes in relative brain size, with seven principal components explaining up to 90.4% of variation. Great apes and humans show derived investment in prefrontal white matter, prefronto-striatal, and cortico-cerebellar systems inferred to originate in the ape ancestral lineage around 30–20 Ma.

Key findings

  • Phylogenetic PCA of relative brain size plus 20 brain structures/areas yielded seven principal components explaining up to 90.4% of neural structure variation. PC1 was dominated by relative brain size and accounted for 25.8%; subsequent size-independent PCs were PC2 prefrontal white matter (18.7%), PC3 hippocampal formation (14.7%), PC4 prefronto-striatal formation (12.7%), PC5 paleocortex (7.7%), PC6 motor execution structures (6.0%), and PC7 motor learning structures (4.6%).
  • Across more than 40 Myr of anthropoid evolution, mosaic changes contributed more to explaining neural diversity than changes in relative brain size.
  • Great apes and humans were differentiated by joint investment in prefrontal white matter, prefronto-striatal, and cortico-cerebellar systems alongside increased absolute brain size; this pattern was inferred to originate in the ape ancestral lineage approximately 30–20 Ma.
  • Some mosaic patterns showed significantly increased variation in lineages where brain size decreased: PC2 (F = 0.0037, p < 0.0001), PC3 (F = 0.0066, p < 0.0002), and PC6 (F = 0.0395, p = 0.0067).

Methods

  • Sample: 17 anthropoid primate species including humans; brain structure volumes came from serially sectioned post-mortem brains following published protocols and from the literature; the phylogeny was taken from the 10kTrees project, v. 3.
  • Analyses: phylogenetic reduced major axis regressions with a likelihood-fitted lambda model controlled brain size for body size and brain structure size for brain size; residuals were entered into a phylogenetically controlled principal components analysis; PC scores were used to estimate ancestral states and lineage-specific evolutionary rates via a variable rates method based on an adaptive peak model.
  • Rate variation was compared between lineages indicating brain size increase (minimum rate of 0.1) and lineages indicating brain size decrease (maximum rate of −0.1) using an F-test for equality of variance; model accuracy was checked against fossil brain size estimates at three phylogenetic locations.

Limitations

  • The paper does not include a dedicated limitations section.
  • Evident from the text: the sample is limited to 17 anthropoid species, so broad claims about anthropoid brain evolution rest on this taxon sample; data are post-mortem/histological and literature-derived, which may constrain structure coverage and comparability.
  • Evident from the text: the variable rates method’s accuracy was tested only by comparing estimated ancestral brain size to fossil estimates at three nodes (e.g., *Australopithecus afarensis* fossil estimate 434cc versus method estimate 385cc), not for PC scores or individual brain structures; the authors also note that further work should investigate other heteromodal association areas.

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Integrity signals

Registry

Crossref · 10.1098/rspb.2013.0269

Cites

75 of 75 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 79 cited sources checked · 0 supported · 0 flagged

Show all 61 claims

  • Probably not a substantial claim. 20
  • It may state two separate claims as one. 20
35 of 35
  • The paper relies on this without support.

    Olfactory bulb and medulla volume have experienced the least amount of change across anthropoid evolution.

    “Because olfactory bulb and medulla volume are considered to have experienced the least amount of change across anthropoid evolution, and brain size the most, this component can primarily be interpreted as reflecting changes in relative brain size.”
  • The paper relies on this without support.

    Smaller primates tend to be more agile, allowing them to inhabit a more diverse array of physical environments, placing particular pressure on spatial memory and basic motor execution.

    “For physiological reasons, smaller primates tend to be more agile, allowing them to inhabit a more diverse array of physical environments, possibly placing particular pressure on spatial memory.”
  • The paper relies on this without support.

    The variable rates method's accuracy far exceeds what can be attained with alternative methods.

    “this level of accuracy far exceeds what can be attained with alternative methods”
3 of 3

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Reported brain-size range is not 40 orders of magnitude

    Minor

    The stated smallest and largest brain sizes differ by a factor of about 43, or approximately 1.6 orders of magnitude-not 40 orders of magnitude.

1 of 1

Citations

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Research works printed but not linked: 4

  1. Smaers JB, The evolution of human handedness
  2. 10.1073/090504197 · DOI
  3. 10.1152/jn.00339.2011 · DOI · Paper page
  4. Zilles K, 2011, Resources and technological advances for studies of neurobehavioral evolution, E94

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Metadata

Authors
Smaers, J. B., & Soligo, C.
Affiliations
University College London (GB)
Corresponding author
Smaers, J. B.
Venue
Proceedings of the Royal Society B: Biological Sciences
Published
2013-05-22
Volume
280
Issue
1759
Pages
20130269
ISSN
  • 0080-4649 (ISSN-L)
  • 0962-8452
  • 1471-2954
OpenAlex
W2002762636
Cited by
112
References
75
Citations by year
2026: 3 · 2025: 7 · 2024: 7 · 2023: 6 · 2022: 5 · 2021: 9 · 2020: 10 · 2019: 9 · 2018: 3 · 2017: 8 · 2016: 15 · 2015: 10 · 2014: 14 · 2013: 6
FWCI
22.23
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the Royal Society B Biological Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
Natural Environment Research Council (NE/H022937/1)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Primate Behavior and Ecology
  • Physical Sciences › Earth and Planetary Sciences › Paleontology › Evolution and Paleontology Studies
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Morphological variations and asymmetry
Keywords
primate brain evolution, brain reorganization, relative brain size, anthropoid primates, prefrontal cortex, brain structure volume, lineage-specific evolution, brain systems, motor control, learning
MeSH terms
Animals, Haplorhini, Cerebellum, Biological Evolution, Female, Male, Motor Cortex, Phylogeny, Primates, Multivariate Analysis, Prefrontal Cortex, Principal Component Analysis

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