title: The evolution of brain lateralization: a game-theoretical analysis of population structure.
abstract: In recent years, it has become apparent that behavioural and brain lateralization at the population level is the rule rather than the exception among vertebrates. The study of these phenomena has so far been the province of neurology and neuropsychology. Here, we show how such research can be integrated with evolutionary biology to understand lateralization more fully. In particular, we address the fact that, within a species, left- and right-type individuals often occur in proportions different from one-half (e.g. hand use in humans). The traditional explanations offered for lateralization of brain function (that it may avoid unnecessary duplication of neural circuitry and reduce interference between functions) cannot account for this fact, because increased individual efficiency is unrelated to the alignment of lateralization at the population level. A further puzzle is that such an alignment may even be disadvantageous, as it makes individual behaviour more predictable to other organisms. Here, we show that alignment of the direction of behavioural asymmetries in a population can arise as an evolutionarily stable strategy when individual asymmetrical organisms must coordinate their behaviour with that of other asymmetrical organisms. Brain and behavioural lateralization, as we know it in humans and other vertebrates, may have evolved under basically 'social' selection pressures.
authors.affiliation: Group for Interdisciplinary Cultural Research, Stockholm University, Kräftriket 7B, 106 91 Stockholm, Sweden. stefano.ghirlanda@intercult.si.se
authors.forename: Stefano
authors.initials: S
authors.lastname: Ghirlanda
authors.forename: Giorgio
authors.initials: G
authors.lastname: Vallortigara
mesh_terms: D000818:Animals; D005075:Biological Evolution; D001921:Brain / Q000502:physiology*; D007839:Functional Laterality / Q000235:genetics / Q000502:physiology*; D005716:Game Theory; D008954:Models, Biological; D012641:Selection, Genetic