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Summary
This summary is machine-generated.

Comparative neuroanatomy can improve understanding of brain evolution by adopting advanced evolutionary process-based models. This approach moves beyond traditional regression analyses to better explore how environmental factors shape brain development over time.

Keywords:
PGLSlikelihood-based methodsmacroevolutionmammalsphylogenetics

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Area of Science:

  • Evolutionary biology
  • Neuroanatomy
  • Comparative biology

Background:

  • Comparative neuroanatomy has long studied brain evolution, focusing on independent evolution of the brain and its regions, and environmental influences.
  • Traditional methods in comparative neuroanatomy have primarily relied on regression-based analyses, potentially limiting macroevolutionary insights.
  • Advances in phylogenetic methods offer new avenues for understanding brain evolution.

Purpose of the Study:

  • To review the historical methodologies in comparative neuroanatomy.
  • To highlight the limitations of traditional regression-based analyses.
  • To introduce and advocate for the use of evolutionary process-based models in studying brain evolution.

Main Methods:

  • Overview of evolutionary process-based modeling approaches.
  • Discussion of methods for univariate and multivariate data analysis.
  • Exploration of sophisticated models incorporating biotic and abiotic pressures.

Main Results:

  • Identifies pitfalls associated with traditional regression-based methods in neuroanatomy.
  • Demonstrates the benefits of evolutionary process-based models using neuroanatomical data.
  • Illustrates how these models can be applied to understand brain evolution.

Conclusions:

  • Comparative neuroanatomy can be enhanced by integrating advanced evolutionary process-based models.
  • These models offer a more comprehensive framework for investigating the drivers of brain evolution.
  • The review serves as a guide to broaden the methodological toolkit for neuroanatomists.