Combining local and global evolutionary trajectories of brain-behaviour relationships through game theory.

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  • Author(s): Di Plinio S;Di Plinio S; Ebisch SJH; Ebisch SJH; Ebisch SJH
  • Source:
    The European journal of neuroscience [Eur J Neurosci] 2020 Nov; Vol. 52 (9), pp. 4198-4213. Date of Electronic Publication: 2020 Jul 21.
  • Publication Type:
    Journal Article; Research Support, Non-U.S. Gov't; Review
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Wiley-Blackwell Country of Publication: France NLM ID: 8918110 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1460-9568 (Electronic) Linking ISSN: 0953816X NLM ISO Abbreviation: Eur J Neurosci Subsets: MEDLINE
    • Publication Information:
      Publication: : Oxford : Wiley-Blackwell
      Original Publication: Oxford, UK : Published on behalf of the European Neuroscience Association by Oxford University Press, c1989-
    • Subject Terms:
    • Abstract:
      The study of the evolution of brain-behaviour relationships concerns understanding the causes and repercussions of cross- and within-species variability. Understanding such variability is a main objective of evolutionary and cognitive neuroscience, and it may help explaining the appearance of psychopathological phenotypes. Although brain evolution is related to the progressive action of selection and adaptation through multiple paths (e.g. mosaic vs. concerted evolution, metabolic vs. structural and functional constraints), a coherent, integrative framework is needed to combine evolutionary paths and neuroscientific evidence. Here, we review the literature on evolutionary pressures focusing on structural-functional changes and developmental constraints. Taking advantage of recent progress in neuroimaging and cognitive neuroscience, we propose a twofold hypothetical model of brain evolution. Within this model, global and local trajectories imply rearrangements of neural subunits and subsystems and of behavioural repertoires of a species, respectively. We incorporate these two processes in a game in which the global trajectory shapes the structural-functional neural substrates (i.e. players), while the local trajectory shapes the behavioural repertoires (i.e. stochastic payoffs).
      (© 2020 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.)
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    • Grant Information:
      Italian Ministry of Education, Research, and University
    • Contributed Indexing:
      Keywords: brain networks; brain systems; brain-behaviour relationships; evolution; game theory; graph theory; individual differences; integrative neuroscience
    • Publication Date:
      Date Created: 20200629 Date Completed: 20210621 Latest Revision: 20210621
    • Publication Date:
      20240105
    • Accession Number:
      10.1111/ejn.14883
    • Accession Number:
      32594640