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Problems with using comparative analyses of avian brain size to test hypotheses of cognitive evolution

There are multiple hypotheses for the evolution of cognition. The most prominent hypotheses are the Social Intelligence Hypothesis (SIH) and the Ecological Intelligence Hypothesis (EIH), which are often pitted against one another. These hypotheses tend to be tested using broad-scale comparative stud...

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Autores principales: Hooper, Rebecca, Brett, Becky, Thornton, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307164/
https://www.ncbi.nlm.nih.gov/pubmed/35867640
http://dx.doi.org/10.1371/journal.pone.0270771
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author Hooper, Rebecca
Brett, Becky
Thornton, Alex
author_facet Hooper, Rebecca
Brett, Becky
Thornton, Alex
author_sort Hooper, Rebecca
collection PubMed
description There are multiple hypotheses for the evolution of cognition. The most prominent hypotheses are the Social Intelligence Hypothesis (SIH) and the Ecological Intelligence Hypothesis (EIH), which are often pitted against one another. These hypotheses tend to be tested using broad-scale comparative studies of brain size, where brain size is used as a proxy of cognitive ability, and various social and/or ecological variables are included as predictors. Here, we test how robust conclusions drawn from such analyses may be. First, we investigate variation in brain and body size measurements across >1000 bird species. We demonstrate that there is substantial variation in brain and body size estimates across datasets, indicating that conclusions drawn from comparative brain size models are likely to differ depending on the source of the data. Following this, we subset our data to the Corvides infraorder and interrogate how modelling decisions impact results. We show that model results change substantially depending on variable inclusion, source and classification. Indeed, we could have drawn multiple contradictory conclusions about the principal drivers of brain size evolution. These results reflect concerns from a growing number of researchers that conclusions drawn from comparative brain size studies may not be robust. We suggest that to interrogate hypotheses of cognitive evolution, a fruitful way forward is to focus on testing cognitive performance within and between closely related taxa, with an emphasis on understanding the relationship between informational uncertainty and cognitive evolution.
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spelling pubmed-93071642022-07-23 Problems with using comparative analyses of avian brain size to test hypotheses of cognitive evolution Hooper, Rebecca Brett, Becky Thornton, Alex PLoS One Research Article There are multiple hypotheses for the evolution of cognition. The most prominent hypotheses are the Social Intelligence Hypothesis (SIH) and the Ecological Intelligence Hypothesis (EIH), which are often pitted against one another. These hypotheses tend to be tested using broad-scale comparative studies of brain size, where brain size is used as a proxy of cognitive ability, and various social and/or ecological variables are included as predictors. Here, we test how robust conclusions drawn from such analyses may be. First, we investigate variation in brain and body size measurements across >1000 bird species. We demonstrate that there is substantial variation in brain and body size estimates across datasets, indicating that conclusions drawn from comparative brain size models are likely to differ depending on the source of the data. Following this, we subset our data to the Corvides infraorder and interrogate how modelling decisions impact results. We show that model results change substantially depending on variable inclusion, source and classification. Indeed, we could have drawn multiple contradictory conclusions about the principal drivers of brain size evolution. These results reflect concerns from a growing number of researchers that conclusions drawn from comparative brain size studies may not be robust. We suggest that to interrogate hypotheses of cognitive evolution, a fruitful way forward is to focus on testing cognitive performance within and between closely related taxa, with an emphasis on understanding the relationship between informational uncertainty and cognitive evolution. Public Library of Science 2022-07-22 /pmc/articles/PMC9307164/ /pubmed/35867640 http://dx.doi.org/10.1371/journal.pone.0270771 Text en © 2022 Hooper et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hooper, Rebecca
Brett, Becky
Thornton, Alex
Problems with using comparative analyses of avian brain size to test hypotheses of cognitive evolution
title Problems with using comparative analyses of avian brain size to test hypotheses of cognitive evolution
title_full Problems with using comparative analyses of avian brain size to test hypotheses of cognitive evolution
title_fullStr Problems with using comparative analyses of avian brain size to test hypotheses of cognitive evolution
title_full_unstemmed Problems with using comparative analyses of avian brain size to test hypotheses of cognitive evolution
title_short Problems with using comparative analyses of avian brain size to test hypotheses of cognitive evolution
title_sort problems with using comparative analyses of avian brain size to test hypotheses of cognitive evolution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307164/
https://www.ncbi.nlm.nih.gov/pubmed/35867640
http://dx.doi.org/10.1371/journal.pone.0270771
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