Brain reorganization, not relative brain size, primarily characterizes anthropoid brain evolution
Open accessAbstract
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.
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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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- Findingnone given§ 3. Discussion
The origin of the great ape grade shift in prefrontal white matter evolution is inferred to date back to the dawn of the ape radiation (at least 20 Ma).
“The origin of the great ape grade shift in prefrontal white matter evolution is inferred to date back to the dawn of the ape radiation (at least 20 Ma).”
Quote in the paperSubstantial claim - Findingown data§ 3. Discussion
Across more than 40 Myr of anthropoid evolution, different neocortical and cerebellar areas varied in their contributions to different mosaic patterns.
“We further find that, across more than 40 Myr of anthropoid evolution, different neocortical and cerebellar areas varied in their contributions to different mosaic patterns.”
Quote in the paperSubstantial claim - Findingown data§ 3. Discussion
The principal component that contributes most to explaining evolutionary changes in primate brain reorganization indicates high loadings for prefrontal white matter.
“The principal component that we find to contribute most to explaining evolutionary changes in primate brain reorganization indicates high loadings for prefrontal white matter (table 1).”
Quote in the paperSubstantial claim - Findingown data§ Abstract
Different mosaic patterns are differentially selected for when brains increase or decrease in size.
“and different mosaic patterns are differentially selected for when brains increase or decrease in size.”
Quote in the paperSubstantial claim - Findingown data§ 2. Results
PC3 (14.7%) involves the hippocampal formation (hippocampus and entorhinal cortex).
“PC3 (14.7%) involves the hippocampal formation (hippocampus and entorhinal cortex)”
Quote in the paperSubstantial claim
- Findingown data§ Abstract
Mosaic patterns associated with motor control and learning have deep evolutionary roots.
“and demonstrate deep evolutionary roots for mosaic patterns associated with motor control and learning.”
Quote in the paperSubstantial claim - Findingown data§ 2. Results
PC2 (18.7%) is predominantly associated with prefrontal white matter.
“PC2 (18.7%) is predominantly associated with prefrontal white matter”
Quote in the paperSubstantial claim - Findingown data§ 2. Results
PC6 (6%) involves structures involved in the execution of motor plans (spinocerebellum, mesencephalon and medulla).
“PC6 (6%) structures involved in the execution of motor plans (spinocerebellum, mesencephalon and medulla)”
Quote in the paperNot a substantial claim - Findingown data§ Abstract
Across more than 40 Myr of anthropoid primate evolution, mosaic changes contribute more to explaining neural diversity than changes in relative brain size.
“Across more than 40 Myr of anthropoid primate evolution, mosaic changes contribute more to explaining neural diversity than changes in relative brain size”
- Also stated in: § 3. Discussion · plain
“The finding that mosaic changes contribute more to explaining neural system diversity across species than changes in relative brain size”
Quote in the paperSubstantial claim - Also stated in: § 3. Discussion · plain
- Findingnone given§ Abstract
Lineage-specific evolutionary specializations exist for all branches of the tree of life covered by the sample.
“We identify lineage-specific evolutionary specializations for all branches of the tree of life covered by our sample”
Quote in the paperSubstantial claim - Findingown data§ 3. Discussion
The hippocampus-entorhinal (PC3) and prefronto-striatal (PC4) formations dissociate in different principal components.
“The dissociation of the hippocampus–entorhinal (PC3) and prefronto-striatal (PC4) formations in different principal components (table 1)”
Quote in the paperSubstantial claim - Findingown data§ 2. Results
Other brain formations (prefrontal white matter, hippocampal-entorhinal and descending motor pathway) display significantly increased variation in lineages where brain size decreases compared with those where brain size increases.
“Other brain formations (prefrontal white matter, hippocampal–entorhinal and descending motor pathway) display significantly increased variation in lineages where brain size decreases compared with those where brain size increases (figure 2; PC2: F = 0.0037, p < 0.0001; PC3: F = 0.0066, p < 0.0002; PC6: F = 0.0395, p = 0.0067).”
Quote in the paperSubstantial claim - Findingown data§ 3. Discussion
In monkeys, investment in prefrontal white matter is mainly displayed in species that have decreased absolute brain size in their lineage (Cebus, Alouatta, Miopithecus).
“In monkeys, investment in prefrontal white matter is mainly displayed in species that have decreased absolute brain size in their lineage (Cebus, Alouatta, Miopithecus; electronic supplementary material, S1)”
Quote in the paperSubstantial claim - Findingown data§ 2. Results
PC7 (4.6%) involves structures associated with motor learning (cerebrocerebellum and frontal motor areas).
“PC7 (4.6%) structures associated with motor learning (cerebrocerebellum and frontal motor areas)”
Quote in the paperNot a substantial claim - Findingown data§ 2. Results
Subsequent PCs indicate low loadings for relative brain size.
“Subsequent PCs indicate low loadings for relative brain size”
Quote in the paperSubstantial claim - Findingown data§ 2. Results
PC1 indicates high inverse loadings of relative brain size and the relative volume of olfactory bulb and medulla.
“PC1 indicates high inverse loadings of relative brain size and the relative volume of olfactory bulb and medulla.”
Quote in the paperSubstantial claim - Findingown data§ 2. Results
PC4 (12.7%) involves the prefronto-striatal formation.
“PC4 (12.7%) the prefronto-striatal formation”
Quote in the paperNot a substantial claim - Findingcitation§ 2. Results
Phylogenetic principal components analysis of relative brain size and the relative size of 20 brain structures/areas reveals that seven principal components explain up to 90.4 per cent of neural structure variation observed across 17 primate species (spanning more than 40 Myr of evolution).
“Phylogenetic principal components analysis of relative brain size and the relative size of 20 brain structures/areas reveals that seven principal components explain up to 90.4 per cent of neural structure variation observed across 17 primate species (spanning more than 40 Myr of evolution [26]).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Wilkinson RD, Steiper ME, Soligo C, Martin RD, Yang Z, Tavare S. 2011. Dating primate divergences through an integrated analysis of palaeontological and molecular data. Syst. Biol. 60, 16–31 10.1093/sysbio/syq054 (doi:10.1093/sysbio/syq054) [DOI] [PMC free article] [PubMed] [Google Scholar] source
Not checked in the free run.
- Findingown data§ 2. Results
Evolutionary investment in these brain systems is shown to originate in the ape ancestral lineage (approx. 30-20 Ma).
“Evolutionary investment in these brain systems is shown to originate in the ape ancestral lineage (approx. 30–20 Ma).”
Quote in the paperSubstantial claim - Findingown data§ 2. Results
Three mosaic patterns differentiate great apes (and humans) from other primates when considered in conjunction with an overall increase in brain size: prefrontal white matter, prefronto-striatal and cortico-cerebellar.
“Results indicate that three mosaic patterns differentiate great apes (and humans) from other primates when considered in conjunction with an overall increase in brain size: prefrontal white matter, prefronto-striatal and cortico-cerebellar (figure 1).”
Quote in the paperSubstantial claim - Findingnone given§ 3. Discussion
Some organizational changes have deep evolutionary roots dating back at least to the divergence of apes and Old World monkeys (between 30 and 20 Ma).
“that some organizational changes have deep evolutionary roots dating back at least to the divergence of apes and Old World monkeys (between 30 and 20 Ma).”
Quote in the paperNot a substantial claim - Findingcitation§ 3. Discussion
PC7 loads on structures associated with cortico-cerebellar connectivity (cerebrocerebellum and frontal motor areas).
“while PC7 loads on structures associated with cortico-cerebellar connectivity (cerebrocerebellum and frontal motor areas) [33,61,62] (table 1).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [33] Krienen FM, Buckner RL. 2009. Segregated fronto-cerebellar circuits revealed by intrinsic functional connectivity. Cereb. Cortex 19, 2485–2497 10.1093/cercor/bhp135 (doi:10.1093/cercor/bhp135) [DOI] [PMC free article] [PubMed] [Google Scholar] source
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- Findingown data§ 3. Discussion
Mosaic brain reorganization in primates has high evolvability.
“Results indicate a high evolvability of mosaic brain reorganization in primates”
Quote in the paperSubstantial claim - Findingown data§ 3. Discussion
Different neocortical and cerebellar areas contribute differently to explaining different mosaic patterns in different lineages.
“We also show that different neocortical and cerebellar areas contribute differently to explaining different mosaic patterns in different lineages”
Quote in the paperSubstantial claim - Findingown data§ 3. Discussion
Phylogenetic mapping of these two PCs suggests differential evolutionary investment across different species.
“Phylogenetic mapping of these two PCs suggests differential evolutionary investment across different species.”
Quote in the paperSubstantial claim - Findingown data§ 3. Discussion
In monkeys, Cebus has the highest score for PC7.
“In monkeys, Cebus has the highest score for PC7 (see electronic supplementary material, S1)”
Quote in the paperNot a substantial claim - Findingown data§ 4. Material and methods
Our method estimates the brain size for the great ape LCA at 385cc.
“our method estimates the value for the great ape last common ancestor (LCA) at 385cc”
Quote in the paperNot a substantial claim - Findingown data§ 4. Material and methods
Our method predicts the brain size for the LCA of Old World monkeys and apes at 225cc.
“our method predicts the value for the ape LCA at 348cc and the LCA of Old World monkeys and apes at 225cc”
Quote in the paperNot a substantial claim - Findingown data§ 3. Discussion
Other brain formations (prefrontal white matter, hippocampal-entorhinal, paleocortex and descending motor pathway) display increased variation in lineages where brain size decreases.
“Other brain formations (prefrontal white matter, hippocampal–entorhinal, paleocortex and descending motor pathway) display increased variation in lineages where brain size decreases, suggesting asymmetry in brain reorganization depending on whether the brain increases or decreases in absolute size (see figure 2 and electronic supplementary material, S2).”
Quote in the paperSubstantial claim - Findingown data§ 4. Material and methods
Our method estimates the brain size for the LCA of apes at 348cc.
“the LCA of apes at 348cc”
Quote in the paperNot a substantial claim - Findingcitation§ 3. Discussion
These trends are further extended in humans with an additional investment in absolute brain size.
“These trends are further extended in humans with an additional investment in absolute brain size (see figure 1c and electronic supplementary material, S2) [63].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [63] Barton RA. 2012. Embodied cognitive evolution and the cerebellum. Phil. Trans. R. Soc. B 367, 2097–2107 10.1098/rstb.2012.0112 (doi:10.1098/rstb.2012.0112) [DOI] [PMC free article] [PubMed] [Google Scholar] source
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- Findingcitation§ 3. Discussion
PC6 indicates high loadings of structures involved in descending motor pathways (spinocerebellum, mesencephalon and medulla).
“PC6 indicates high loadings of structures involved in descending motor pathways (spinocerebellum, mesencephalon and medulla) [60]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [60] Holstege G. 1991. Descending motor pathways and the spinal motor system: limbic and nonlimbic components, Prog. Brain Res. 87, 307–421 [DOI] [PubMed] [Google Scholar] source
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- Findingown data§ 4. Material and methods
Our method estimates the ancestral brain size for the chimpanzee-human node at 385cc.
“our method estimates this value to be 385cc”
Quote in the paperNot a substantial claim - Findingreasoning§ 3. Discussion
PC6 indicates increased variation when brain size decreases (similar to PC3).
“PC6 further indicates increased variation when brain size decreases (similar to PC3)”
Quote in the paperNot a substantial claim - Premisecitation§ 1. Introduction
Allometric approaches confound the different evolutionary scenarios (in terms of patterns of increase/decrease between two traits) that underlie allometric residuals.
“and confound the different evolutionary scenarios (in terms of patterns of increase/decrease between two traits) that underlie allometric residuals [7].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] Smaers JB, Dechmann DKN, Goswami A, Soligo C, Safi K. 2012. Comparative analyses of evolutionary rates reveal different pathways to encephalization in bats, carnivorans, and primates. Proc. Natl Acad. Sci. USA 109, 18 006–18 011 10.1073/pnas.1212181109 (doi:10.1073/pnas.1212181109) [DOI] [PMC free article] [PubMed] [Google Scholar] source
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- Premisecitation§ 1. Introduction
Allometric approaches fail to reveal the temporal origin and rate of evolutionary changes taking place on individual branches of the tree of life covered by the sample.
“Allometric approaches further fail to reveal the temporal origin and rate of evolutionary changes taking place on individual branches of the tree of life covered by the sample”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] Smaers JB, Dechmann DKN, Goswami A, Soligo C, Safi K. 2012. Comparative analyses of evolutionary rates reveal different pathways to encephalization in bats, carnivorans, and primates. Proc. Natl Acad. Sci. USA 109, 18 006–18 011 10.1073/pnas.1212181109 (doi:10.1073/pnas.1212181109) [DOI] [PMC free article] [PubMed] [Google Scholar] source
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- Premisecitation§ 1. Introduction
Mosaic studies have mainly focused on allometric scaling trends of particular brain structures.
“Mosaic studies have mainly focused on allometric scaling trends of particular brain structures [4,17].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [4] Barton RA, Harvey PH. 2000. Mosaic evolution of brain structure in mammals. Nature 405, 1055–1058 10.1038/35016580 (doi:10.1038/35016580) [DOI] [PubMed] [Google Scholar] source
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- Premisecitation§ 1. Introduction
The systemic interaction between different brain structures is better reflected in approaches that allow assessing the extent to which particular variables differentially contribute to explaining different patterns of covariation between all variables in the model (e.g. principal component analysis).
“the systemic interaction between different brain structures, in which individual brain structures contribute to different information processing loops to various extents, is better reflected in approaches that allow assessing the extent to which particular variables differentially contribute to explaining different patterns of covariation between all variables in the model (e.g. principal compon”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [3] de Winter W, Oxnard CE. 2001. Evolutionary radiations and convergences in the structural organization of the mammalian brain. Nature 409, 710–714 10.1038/35055547 (doi:10.1038/35055547) [DOI] [PubMed] [Google Scholar] source
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- Premisecitation§ 1. Introduction
The relative size of individual brain structures indicates variation beyond purely size-related allometric scaling.
“The relative size of individual brain structures indicates variation beyond purely size-related allometric scaling [3,4].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3] de Winter W, Oxnard CE. 2001. Evolutionary radiations and convergences in the structural organization of the mammalian brain. Nature 409, 710–714 10.1038/35055547 (doi:10.1038/35055547) [DOI] [PubMed] [Google Scholar] source
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- Interpretationown data§ 3. Discussion
Once evolved, patterns of connectivity and modularity associated with larger brains may be maintained when brains undergo secondary reductions in size.
“suggesting that, once evolved, patterns of connectivity and modularity associated with larger brains may be maintained when brains undergo secondary reductions in size.”
Quote in the paperSubstantial claim - Interpretationown data§ 3. Discussion
The finding that mosaic changes contribute more to explaining neural system diversity across species than changes in relative brain size confirms that the traditional focus on relative brain size significantly underestimates the contribution of different neural pathways to primate neural system diversity.
“The finding that mosaic changes contribute more to explaining neural system diversity across species than changes in relative brain size confirms that the traditional focus on relative brain size [2,41–43] significantly underestimates the contribution of different neural pathways to primate neural system diversity.”
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- Premisecitation§ 1. Introduction
Comparative data on brain structures that are fundamental to neural processing (prefrontal cortex, frontal motor areas and cerebellar lobules) have not been available until very recently, hampering more in-depth insights on the systemic nature of mosaic brain evolution.
“comparative data on brain structures that are fundamental to neural processing (prefrontal cortex, frontal motor areas and cerebellar lobules) have not been available until very recently [11,17,19–21], hampering more in-depth insights on the systemic nature of mosaic brain evolution.”
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Not checked in the free run.
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- Interpretationreasoning§ 2. Results
The subsequent PCs represent patterns of size-independent mosaic changes.
“representing patterns of size-independent mosaic changes”
Quote in the paperSubstantial claim - Interpretationcitation§ 2. Results
These patterns can roughly be associated with social reasoning, motor control, learning and memory.
“and can roughly be associated with social reasoning, motor control, learning and memory [36–40].”
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- Interpretationreasoning§ 3. Discussion
The identification of prefrontal white matter as a distinct contribution to explaining neural system diversity confirms this view.
“The identification of prefrontal white matter as a distinct contribution to explaining neural system diversity confirms this view.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 3. Discussion
Because of its combined multimodal and modular nature, the prefrontal cortex is likely to be under particular pressure to change the space attributed to its white matter as the size of the brain changes over millions of years of evolution.
“Because of its combined multimodal and modular nature, the prefrontal cortex is thus likely to be under particular pressure to change the space attributed to its white matter as the size of the brain changes over millions of years of evolution.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 3. Discussion
Neural adaptation in anthropoid primates primarily involves differential selection on multiple size-independent organizational patterns across different taxonomic groups.
“Overall, our results indicate that neural adaptation in anthropoid primates primarily involves differential selection on multiple size-independent organizational patterns across different taxonomic groups”
Quote in the paperSubstantial claim - Interpretationcitation§ 3. Discussion
The derived pattern of prefrontal white matter evolution in humans aligns with recent work on prefrontal neuropil distribution supporting the conclusion that enhanced connectivity in the prefrontal cortex accompanied the evolution of the human brain.
“The derived pattern of prefrontal white matter evolution in humans aligns with recent work on prefrontal neuropil distribution supporting the conclusion that enhanced connectivity in the prefrontal cortex accompanied the evolution of the human brain [52].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52] Spocter MA, et al. 2012. Neuropil distribution in the cerebral cortex differs between humans and chimpanzees. J. Comp. Neurol. 520, 2917–2929 10.1002/cne.23074 (doi:10.1002/cne.23074) [DOI] [PMC free article] [PubMed] [Google Scholar] source
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- Interpretationreasoning§ 1. Introduction
As particular mosaic patterns increase or decrease over evolutionary time, the absolute size attributed to each mosaic pattern (and thus its number of cells) will contribute to its computational power.
“The argument is that as particular mosaic patterns increase or decrease over evolutionary time, the absolute size attributed to each mosaic pattern (and thus its number of cells) will contribute to its computational power.”
Quote in the paperSubstantial claim - Premisecitation§ 1. Introduction
Brain (structure) size scales approximately isometrically as a function of cell number (and therefore computational power) in primates.
“Because brain (structure) size scales approximately isometrically as a function of cell number (and therefore computational power) in primates [24,25]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [24] Herculano-Houzel S, Collins CE, Wong P, Kaas JH. 2007. Cellular scaling rules for primate brains. Proc. Natl Acad. Sci. USA 104, 3562–3567 10.1073/pnas.0611396104 (doi:10.1073/pnas.0611396104) [DOI] [PMC free article] [PubMed] [Google Scholar] source
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- Interpretationreasoning§ 3. Discussion
Changes in prefrontal white matter are, at least in part, owing to the geometric constraints of size on multimodal connectivity.
“This result is in line with the view that changes in prefrontal white matter are, at least in part, owing to the geometric constraints of size on multimodal connectivity.”
Quote in the paperSubstantial claim - Premisecitation§ 3. Discussion
As brains change in size over evolutionary time, multimodal connectivity may be under particular pressure as interacting areas change in distance to each other, affecting the length and thickness of axons.
“As brains change in size over evolutionary time, multimodal connectivity may be under particular pressure as interacting areas change in distance to each other, affecting the length and thickness (to maintain optimal conduction times) of axons [5,50].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [5] Kaas JH. 2006. Evolution of the neocortex. Curr. Biol. 16, R910–R914 10.1016/j.cub.2006.09.057 (doi:10.1016/j.cub.2006.09.057) [DOI] [PubMed] [Google Scholar] source
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- Interpretationcitation§ 2. Results
These patterns of size-independently co-evolving brain structures correspond to brain systems that have been described in electrophysiological and anatomical tract-tracing studies in non-human primates and MRI studies in humans.
“These patterns of size-independently co-evolving brain structures correspond to brain systems that have been described in electrophysiological and anatomical tract-tracing studies in non-human primates [27–31] and MRI studies in humans [32–35]”
Quote in the paperSubstantial claim0 of 9 sources checked- cites [27] Middleton FA, Strick PL. 2002. Basal-ganglia 'projections’ to the prefrontal cortex of the primate. Cereb. Cortex 12, 926–935 10.1093/cercor/12.9.926 (doi:10.1093/cercor/12.9.926) [DOI] [PubMed] [Google Scholar] source
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- Premisecitation§ 1. Introduction
The novel comparative approach employed allows inferring the temporal origin, rate and process of evolutionary changes for all individual lineages of the tree of life covering the sample.
“The novel comparative approach we employ allows inferring the temporal origin, rate and process of evolutionary changes for all individual lineages of the tree of life covering the sample [7].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] Smaers JB, Dechmann DKN, Goswami A, Soligo C, Safi K. 2012. Comparative analyses of evolutionary rates reveal different pathways to encephalization in bats, carnivorans, and primates. Proc. Natl Acad. Sci. USA 109, 18 006–18 011 10.1073/pnas.1212181109 (doi:10.1073/pnas.1212181109) [DOI] [PMC free article] [PubMed] [Google Scholar] source
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- Interpretationown data§ 3. Discussion
Patterns of brain reorganization may indicate different evolutionary pathways across different species depending on whether brain size increases or decreases.
“that patterns of brain reorganization may indicate different evolutionary pathways across different species depending on whether brain size increases or decreases”
Quote in the paperSubstantial claim - Interpretationown data§ 3. Discussion
Brain reorganization is asymmetrical depending on whether the brain increases or decreases in absolute size.
“suggesting asymmetry in brain reorganization depending on whether the brain increases or decreases in absolute size”
Quote in the paperSubstantial claim - Study design and conductown data§ 4. Material and methods
The variable rates method's estimates of ancestral brain size are accurate, as shown by comparison to fossil estimates for three phylogenetic locations.
“this level of accuracy far exceeds what can be attained with alternative methods and demonstrates the accuracy of our model estimates.”
Quote in the paperSubstantial claim- Rests on an assumption: The variable rates method's accuracy far exceeds what can be attained with alternative methods.
- Interpretationown data§ 3. Discussion
Our primate results point in the direction of asymmetry in the link between brain reorganization and cognitive capacity.
“Our primate results also point in this direction.”
Quote in the paperNot a substantial claim - Interpretationown data§ 3. Discussion
Variation in anthropoid brain adaptation is principally explained by differential selection on multiple size-independent organizational patterns across different taxonomic groups rather than changes in overall brain size.
“In conclusion, our results contribute to explaining primate neural system diversity by quantifying the extent to which variation in anthropoid brain adaptation is principally explained by differential selection on multiple size-independent organizational patterns across different taxonomic groups rather than changes in overall brain size.”
- Also stated in: § 3. Discussion · boosted
“Overall, our results demonstrate that anthropoid primate brain evolution is primarily characterized by selection on multiple size-independent patterns of brain structure covariation.”
Quote in the paperSubstantial claim - Also stated in: § 3. Discussion · boosted
- Interpretationown data§ 3. Discussion
The hippocampus-entorhinal and prefronto-striatal formations have evolved as mosaic patterns.
“suggests they have evolved as mosaic patterns”
Quote in the paperSubstantial claim - Interpretationcitation§ 3. Discussion
Cebus's highest score for PC7 is congruent with their increased sensorimotor capacities.
“congruent with their increased sensorimotor capacities [64].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [64] Chevalier-Skolnikoff S. 1989. Spontaneous tool use and sensorimotor intelligence in Cebus compared with other monkeys and apes. Behav. Brain Sci. 12, 561–586 10.1017/S0140525X00057678 (doi:10.1017/S0140525X00057678) [DOI] [Google Scholar] source
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- Classified as probably not a substantial claim. 20
- May combine two claims. 20
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown data§ 2. ResultsPC5 (7.7%) involves the paleocortex.
“PC5 (7.7%) the paleocortex”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 2. ResultsPrincipal component 1 (PC1) is dominated by variation in relative brain size and accounts for up to 25.8 per cent of overall variation in brain evolution.
“Principal component 1 (PC1) is dominated by variation in relative brain size and accounts for up to 25.8 per cent of overall variation in brain evolution (table 1).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3. DiscussionPhylogenetic mapping of PC2 scores and brain size shows that great apes stand out in their combined investment in both prefrontal white matter and absolute brain size, in that prefrontal white matter keeps track with a substantial increase in brain size, with humans at the extreme of this pattern.
“Phylogenetic mapping of PC2 scores and brain size shows that great apes stand out in their combined investment in both prefrontal white matter and absolute brain size, in that prefrontal white matter keeps track with a substantial increase in brain size, with humans at the extreme of this pattern (figure 1a).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone given§ 4. Material and methodsThe sample includes brain size values spanning 40 orders of magnitude (32.8cc for Pithecia monachus and 39.7 for Miopithecus talapoin compared with 1418.9cc for our sample of humans).
“Considering that our sample includes brain size values spanning 40 orders of magnitude (32.8cc for the New World monkey Pithecia monachus and 39.7 for the Old World monkey Miopithecus talapoin compared with 1418.9cc for our sample of humans)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 3. DiscussionThe hippocampus-entorhinal formation does not indicate a clade-specific pattern in combination with an emphasis on absolute brain size, but displays particular variation in lineages where brain size has decreased.
“The hippocampus–entorhinal formation does not indicate a clade-specific pattern in combination with an emphasis on absolute brain size (see electronic supplementary material, S2), but displays particular variation in lineages where brain size has decreased (figure 2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3. DiscussionPhylogenetic mapping of PC6 and PC7 reveals opposite patterns of investment across species with a joint investment in the cortico-cerebellar system and absolute brain size separating the ape from the monkey radiation between 30 and 20 Ma.
“Phylogenetic mapping of PC6 and PC7 reveals opposite patterns of investment across species with a joint investment in the cortico-cerebellar system and absolute brain size separating the ape from the monkey radiation between 30 and 20 Ma (figure 1c).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3. DiscussionGreat apes combine increased investment in the cortico-cerebellar system with a decreased investment in the descending motor pathway.
“Specifically, great apes combine increased investment in the cortico-cerebellar system with a decreased investment in the descending motor pathway (see electronic supplementary material, S2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3. DiscussionGreat apes stand out in a joint emphasis on the prefronto-striatal formation and absolute brain size; a trend that is inferred to originate with the dawn of the ape radiation.
“Great apes stand out in a joint emphasis on the prefronto-striatal formation and absolute brain size; a trend that is inferred to originate with the dawn of the ape radiation (figure 1b).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 1. IntroductionA comparative correlation exists between absolute brain size and cognitive ability in non-human primates.
“a comparative correlation between absolute brain size and cognitive ability in non-human primates [8]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] Deaner RO, Isler K, Burkart J, van Schaik C. 2007. Overall brain size, and not encephalization quotient, best predicts cognitive ability across non-human primates. Brain Behav. Evol. 70, 115–124 10.1159/000102973 (doi:10.1159/000102973) [DOI] [PubMed] [Google Scholar] source
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Premisecitation§ 1. IntroductionMosaic variation in relative size of individual brain structures has been shown to predict various aspects of behavioural capacity across the animal kingdom.
“and predict various aspects of behavioural capacity across the animal kingdom [13–16]”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [13] Dunbar RIM, Shultz S. 2007. Evolution in the social brain. Science 317, 1344–1347 10.1126/science.1145463 (doi:10.1126/science.1145463) [DOI] [PubMed] [Google Scholar]
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Premisecitation§ 1. IntroductionA comparative correlation exists between relative brain size and survival in novel environments in different orders across the animal kingdom.
“between relative brain size and survival in novel environments in different orders across the animal kingdom [2,9,10]”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [2] Sol D, Bacher S, Reader SM, Lefebvre L. 2008. Brain size predicts the success of mammal species introduced into novel environments. Am. Nat. 172, S63–S71 10.1086/588304 (doi:10.1086/588304) [DOI] [PubMed] [Google Scholar] source
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Premisenone given§ 1. IntroductionThe relative importance of relative brain size and mosaic changes in explaining variation in brain evolution has not been established.
“there are three elements that are fundamental to our understanding of these two aspects of brain evolution that have not been established: (i) What is the relative importance of relative brain size and mosaic changes in explaining variation in brain evolution?”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisereasoning§ 1. IntroductionPrevious work has demonstrated that the neural system adapts in both size-dependent and size-independent ways.
“previous work has demonstrated that the neural system adapts in both size-dependent and size-independent ways.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S1 (asserted), S4 (based).
Premisenone given§ 1. IntroductionThe temporal origin, rate and process underlying evolutionary shifts in mosaic reorganization for individual branches of the primate tree of life have not been established.
“(iii) What are the temporal origin, rate and process underlying evolutionary shifts in mosaic reorganization for individual branches of the primate tree of life?”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 1. IntroductionIn primates, the evolution of brain size (both absolute and relative to body size) shows complex patterns of change involving both increases and decreases along different branches of the primate phylogeny.
“In primates, the evolution of brain size (both in terms of absolute size and relative to body size) shows complex patterns of change involving both increases and decreases along different branches of the primate phylogeny [6,7].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [6] Montgomery SH, Capellini I, Barton RA, Mundy NI. 2010. Reconstructing the ups and downs of primate brain evolution: implications for adaptive hypotheses and Homo floresiensis. BMC Biol. 8, 9. 10.1186/1741-7007-8-9 (doi:10.1186/1741-7007-8-9) [DOI] [PMC free article] [PubMed] [Google Scholar] source
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- cites [7] Smaers JB, Dechmann DKN, Goswami A, Soligo C, Safi K. 2012. Comparative analyses of evolutionary rates reveal different pathways to encephalization in bats, carnivorans, and primates. Proc. Natl Acad. Sci. USA 109, 18 006–18 011 10.1073/pnas.1212181109 (doi:10.1073/pnas.1212181109) [DOI] [PMC free article] [PubMed] [Google Scholar]
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Premisecitation§ 1. IntroductionThe overall size of the brain plays an important part in neural adaptation.
“The overall size of the brain plays an important part in neural adaptation”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] Kaas JH. 2006. Evolution of the neocortex. Curr. Biol. 16, R910–R914 10.1016/j.cub.2006.09.057 (doi:10.1016/j.cub.2006.09.057) [DOI] [PubMed] [Google Scholar]
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Premisenone given§ 1. IntroductionWhich mosaic changes contribute most to explaining diversity in brain organization across species has not been established.
“(ii) Which mosaic changes contribute most to explaining diversity in brain organization across species?”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 1. IntroductionMosaic variation in relative size of individual brain structures has been shown to reflect anatomical connectivity patterns.
“This (mosaic) variation has been shown to reflect anatomical connectivity patterns [11,12]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [11] Smaers JB, Steele J, Zilles K. 2011. Modeling the evolution of cortico-cerebellar systems in primates. In New perspectives on neurobehavioral evolution (eds Johnson JI, Zeigler HP, Hof PR.), pp. 176–190 New York: Annals of the New York Academy of Sciences. [DOI] [PubMed] [Google Scholar]
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Premisecitation§ 1. IntroductionAllometric approaches per se reveal useful information on brain structure evolution.
“Although allometric approaches per se reveal useful information on brain structure evolution”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [3] de Winter W, Oxnard CE. 2001. Evolutionary radiations and convergences in the structural organization of the mammalian brain. Nature 409, 710–714 10.1038/35055547 (doi:10.1038/35055547) [DOI] [PubMed] [Google Scholar]
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Premisecitation§ 1. IntroductionAs absolute brain size increases, interacting neurons are located further apart and the brain is likely to become more modular in organization.
“as the absolute size of the brain increases, interacting neurons are located further apart and the brain is likely to become more modular in organization [5]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5] Kaas JH. 2006. Evolution of the neocortex. Curr. Biol. 16, R910–R914 10.1016/j.cub.2006.09.057 (doi:10.1016/j.cub.2006.09.057) [DOI] [PubMed] [Google Scholar]
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Premisecitation§ 3. DiscussionThe prefrontal cortex is generally considered to provide an infrastructure for synthesizing a diverse range of information that lays the foundation for the complex forms of behaviour observed in primates.
“This brain structure is generally considered to provide ‘an infrastructure for synthesizing a diverse range of information that lays the foundation for the complex forms of behaviour observed in primates’ [49, p. 59].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [49] Miller EK. 2000. The prefrontal cortex and cognitive control. Nat. Rev. Neurosci. 1, 59–65 10.1038/35036228 (doi:10.1038/35036228) [DOI] [PubMed] [Google Scholar] source
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Premisecitation§ 3. DiscussionRecent functional connectivity research evidenced preferential distant connectivity of heteromodal association areas, with some regions in the prefrontal cortex (medial PFC) displaying both high local and high distant functional connectivity.
“Recent functional connectivity research evidenced the preferential distant connectivity of heteromodal association areas, with some regions in the prefrontal cortex (medial PFC) displaying both high local (evidencing modularity) and high distant (evidencing multimodality) functional connectivity [51].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [51] Sepulcre J, Liu H, Talukdar T, Martincorena I, Yeo BTT, Buckner RL. 2010. The organization of local and distant functional connectivity in the human brain. PLoS Comp. Biol. 6, e1000808. 10.1371/journal.pcbi.1000808 (doi:10.1371/journal.pcbi.1000808) [DOI] [PMC free article] [PubMed] [Google Scholar]
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Interpretationreasoning§ 2. ResultsBecause olfactory bulb and medulla volume are considered to have experienced the least amount of change across anthropoid evolution, and brain size the most, PC1 can primarily be interpreted as reflecting changes in relative brain size.
“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.”
Quote in the paperSubstantial claim- Rests on an assumption: Olfactory bulb and medulla volume have experienced the least amount of change across anthropoid evolution.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationreasoning§ 1. IntroductionThis approach significantly increases the resolution of evolutionary inferences and allows for more detailed interpretations of the evolutionary history of particular biological traits.
“This approach hereby significantly increases the resolution of evolutionary inferences and allows for more detailed interpretations of the evolutionary history of particular biological traits.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ 1. IntroductionThe method that underlies this approach infers variable rates of evolution for all individual lineages without a priori parametrization and provides realistic trait value estimates for extinct species.
“The method that underlies this approach [23] infers variable rates of evolution for all individual lineages without a priori parametrization and provides realistic trait value estimates for extinct species.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Smaers JB, Vinicius L. 2009. Inferring macro-evolutionary patterns using an adaptive peak model of evolution. Evol. Ecol. Res. 11, 991–1015 [Google Scholar]
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Premisecitation§ 3. DiscussionThe prefrontal cortex is a multimodal structure involved in social cognition, moral judgements, clan mentality, introspection as well as goal-directed and stimulus-driven attention.
“The prefrontal cortex is a multimodal structure involved in social cognition [44], moral judgements [45], clan mentality [46], introspection [47] as well as goal-directed and stimulus-driven attention [48].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [44] Powell JL, Lewis PA, Dunbar RIM, Garcia-Finana M, Roberts N. 2010. Orbital prefrontal cortex volume correlates with social cognitive competence. Neuropsychologia 48, 3554–3562 10.1016/j.neuropsychologia.2010.08.004 (doi:10.1016/j.neuropsychologia.2010.08.004) [DOI] [PubMed] [Google Scholar]
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- cites [45] Forbes CE, Grafman J. 2010. The role of the human prefrontal cortex in social cognition and moral judgment. An. Rev. Neurosci. 33, 299–324 [DOI] [PubMed] [Google Scholar]
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Premisecitation§ 4. Material and methodsAustralopithecus afarensis is close to the ancestral node of chimpanzees and humans and has an estimated fossil brain size of 434cc.
“Australopithecus afarensis is considered to be close to the ancestral node of chimpanzees and humans and has an estimated fossil brain size of 434cc [71]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [71] Fleagle JG. 1999. Primate adaptation and evolution. San Diego, CA: Academic Press [Google Scholar]
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Interpretationreasoning§ 3. DiscussionPutative developmental regularities in the evolution of brain structures in primates do not contribute markedly to explaining neural system diversity across species and/or are commonly offset by mosaic reorganization.
“suggesting that putative developmental regularities in the evolution of brain structures in primates [65,66] do not contribute markedly to explaining neural system diversity across species and/or are commonly offset by mosaic reorganization.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [65] Finlay BL, Darlington RB, Nicastro N. 2001. Developmental structure in brain evolution. Behav. Brain Sci. 24, 263–308 10.1017/S0140525X01003958 (doi:10.1017/S0140525X01003958) [DOI] [PubMed] [Google Scholar]
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Premisecitation§ 3. DiscussionSymmetry of brain reorganization in the context of increases versus decreases in absolute brain size has not been extensively studied, but preliminary evidence from the Chiroptera suggests there is asymmetry in the link between brain reorganization and cognitive capacity due to the different ecological niches available to species with different overall sizes.
“Symmetry of brain reorganization in the context of increases versus decreases in absolute brain size has not been extensively studied, but preliminary evidence from the Chiroptera suggests there is asymmetry in the link between brain reorganization and cognitive capacity due to the different ecological niches available to species with different overall sizes [59].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [59] Safi K, Seid MA, Dechmann DKN. 2005. Bigger is not always better: when brains get smaller. Biol. Lett. 1, 283–286 10.1098/rsbl.2005.0333 (doi:10.1098/rsbl.2005.0333) [DOI] [PMC free article] [PubMed] [Google Scholar]
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Premisecitation§ 3. DiscussionBoth the hippocampus-entorhinal and prefronto-striatal formations comprise different memory systems involved in forms of learning in which stimulus-response associations or habits are incrementally and sequentially acquired (striatal) and more cognitive or declarative memory (hippocampal).
“congruent with suggestions that both comprise different memory systems [53,54] involved in forms of learning in which stimulus-response associations or habits are incrementally and sequentially acquired (striatal) [55–57] and more cognitive or declarative memory (hippocampal) [53,58].”
Quote in the paperSubstantial claim0 of 6 sources checked- cites [53] Packard MG, Knowlton BJ. 2002. Learning and memory functions of the basal ganglia. Annu. Rev. Neurosci. 25, 563–593 10.1146/annurev.neuro.25.112701.142937 (doi:10.1146/annurev.neuro.25.112701.142937) [DOI] [PubMed] [Google Scholar] source
Not checked in the free run.
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Not checked in the free run.
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Not checked in the free run.
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Not checked in the free run.
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Not checked in the free run.
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Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Premisecitation§ 4. Material and methodsOreopithecus is derived from the great apes stem lineage, after its divergence from the gibbon lineage, and has an estimated fossil brain size of 383cc.
“Oreopithecus is considered to be derived from the great apes stem lineage, after its divergence from the gibbon lineage, and has an estimated fossil brain size of 383cc [71,72]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [71] Fleagle JG. 1999. Primate adaptation and evolution. San Diego, CA: Academic Press [Google Scholar]
Not checked in the free run.
- cites [72] Straus WL, Schon MA. 1960. Cranial capacity of Oreopithecus bambolii. Science 132, 670–672 10.1126/science.132.3428.670 (doi:10.1126/science.132.3428.670) [DOI] [PubMed] [Google Scholar]
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Premisecitation§ 4. Material and methodsProconsul is most often considered to be derived from the ape stem lineage, after its divergence from the Old World monkey lineage, and has an estimated fossil brain size of 162cc.
“Proconsul is most often considered to be derived from the ape stem lineage, after its divergence from the Old World monkey lineage, and has an estimated fossil brain size of 162cc [73]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [73] Martin RD. 1990. Primate origins and evolution. London, UK: Chapman & Hall [Google Scholar]
Not checked in the free run.
May combine two claims.
Interpretationreasoning§ 3. DiscussionFunctionally, PC6 and PC7 can roughly be associated with the execution of motor actions and the acquisition of new complex motor sequences.
“Functionally, these two components can roughly be associated with the execution of motor actions and the acquisition of new complex motor sequences.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ 3. DiscussionThe increased variation in PC6 when brain size decreases may be due to smaller primates being confronted with a more diverse array of physical environments placing particular pressure on basic motor execution (such as locomotion).
“further confirming our interpretation that this may be due to smaller primates being confronted with a more diverse array of physical environments placing particular pressure on basic motor execution (such as locomotion).”
Quote in the paperNot a substantial claim- Rests on an assumption: 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.
May combine two claims.
Interpretationown data§ 3. DiscussionA clade-specific investment in particular brain formations (prefrontal white matter, prefronto-striatal and higher motor control) in combination with increased absolute brain size differentiates great apes (and humans) from other primates.
“Overall, our phylogenetic analysis infers that a clade-specific investment in particular brain formations (prefrontal white matter, prefronto-striatal and higher motor control) in combination with increased absolute brain size differentiates great apes (and humans) from other primates (figure 1).”
Quote in the paperSubstantial claim
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”
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?
The cortical reorganization hypothesis suggests that selection for absolutely larger brains, and concomitant cortical reorganization, was the predominant mechanism supporting cognitive evolution.
“The cortical reorganization hypothesis suggests that selection for absolutely larger brains-and concomitant cortical reorganization-was the predominant mechanism supporting cognitive evolution (77, 91, 100-106, 120).”
From The evolution of self-control. (2014) · cites this paper as [91]
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
MinorThe 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.
“brain size values spanning 40 orders of magnitude”
“32.8cc for the New World monkey Pithecia monachus and 39.7 for the Old World monkey Miopithecus talapoin compared with 1418.9cc for our sample of humans”
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New perspectives on neurobehavioral evolution
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- Smaers JB, The evolution of human handedness
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- Zilles K, 2011, Resources and technological advances for studies of neurobehavioral evolution, E94
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- 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
- Publisher
- The Royal Society
- Published
- 2013-05-22
- Volume
- 280
- Issue
- 1759
- Pages
- 20130269
- ISSN
- 0080-4649 (ISSN-L)
- 0962-8452
- 1471-2954
- PMC
- PMC3619515
- OpenAlex
- W2002762636
- Semantic Scholar
- aaf8ec94a1751de562511ac64f926870356a20e2
- 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
- green
- europepmc.org
- 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
- Social Sciences › Psychology › Social Psychology › Primate Behavior and Ecology
- Physical Sciences › Earth and Planetary Sciences › Paleontology › Evolution and Paleontology Studies
- Physical Sciences › Mathematics › Geometry and Topology › 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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