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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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. |
format | Online Article Text |
id | pubmed-9307164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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