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Signs of a Flynn effect in rodents? Secular differentiation of the manifold of general cognitive ability in laboratory mice (Mus musculus) and Norwegian rats (Rattus norvegicus) over a century—Results from two cross-temporal meta-analyses

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  • Woodley of Menie, Michael A.
  • Peñaherrera-Aguirre, Mateo
  • Sarraf, Matthew A.

Abstract

Substantial improvements in factors such as microbiological quality have been noted in laboratory rodent (mouse [Mus musculus] and rat [Rattus norvegicus]) populations over the last 140 years, since domestication of laboratory strains started. These environmental improvements may have caused Flynn effect-like cognitive changes to occur in these populations, perhaps if these improvements enhanced cognitive plasticity and, consequently, learning potential. While lack of relevant data precludes cross-temporal comparison of cognitive performance means of laboratory rodent populations, it is possible to estimate changes in the proportion of cognitive performance variance attributable to general cognitive ability (GCA) over time. This “differentiation effect” has been found to occur along with the Flynn effect in human populations, suggesting that environmental factors, possibly mediated by their effects on life history speed, may weaken the manifold of GCA across time, allowing for greater cultivation of specialized abilities. Meta-analysis of the literature on mouse and rat cognition yielded 25 mouse studies from which 28 GCA effect sizes could be estimated, and 10 rat studies from which 11 effect sizes could be estimated. Cross-temporal meta-analysis yielded evidence of significant “differentiation effects” spanning approximately a century in both mice and rats, which were independent of age, sex, factor estimation technique, and task number in the case of the mice, and both factor estimation technique and task number in the case of the rats. These trends were also independent of the random effect of strain in both cases. While this is suggestive of the presence of the Flynn effect in captive populations of non-human animals, there are still factors that might be confounding these results. This meta-analysis should be followed up with experimental investigation.

Suggested Citation

  • Woodley of Menie, Michael A. & Peñaherrera-Aguirre, Mateo & Sarraf, Matthew A., 2022. "Signs of a Flynn effect in rodents? Secular differentiation of the manifold of general cognitive ability in laboratory mice (Mus musculus) and Norwegian rats (Rattus norvegicus) over a century—Results," Intelligence, Elsevier, vol. 95(C).
  • Handle: RePEc:eee:intell:v:95:y:2022:i:c:s0160289622000812
    DOI: 10.1016/j.intell.2022.101700
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    References listed on IDEAS

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    1. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    2. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    3. Blum, Diego & Holling, Heinz, 2017. "Spearman's law of diminishing returns. A meta-analysis," Intelligence, Elsevier, vol. 65(C), pages 60-66.
    4. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    5. Woodley of Menie, Michael A. & Peñaherrera-Aguirre, Mateo & Jurgensen, JohnMichael, 2022. "Using macroevolutionary patterns to distinguish primary from secondary cognitive modules in primate cross-species performance data on five cognitive ability measures," Intelligence, Elsevier, vol. 92(C).
    6. Stefan Kolata & Kenneth Light & Christopher D Wass & Danielle Colas-Zelin & Debasri Roy & Louis D Matzel, 2010. "A Dopaminergic Gene Cluster in the Prefrontal Cortex Predicts Performance Indicative of General Intelligence in Genetically Heterogeneous Mice," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-10, November.
    7. Gerd Kempermann & H. Georg Kuhn & Fred H. Gage, 1997. "More hippocampal neurons in adult mice living in an enriched environment," Nature, Nature, vol. 386(6624), pages 493-495, April.
    8. Protzko, John, 2020. "Kids These Days! Increasing delay of gratification ability over the past 50 years in children," Intelligence, Elsevier, vol. 80(C).
    9. Matzel, Louis D. & Bendrath, Sophie & Herzfeld, Margalit & Crawford, Dylan W. & Sauce, Bruno, 2019. "Mouse twins separated when young: A history of exploration doubles the heritability of boldness and differentially affects the heritability of measures of learning," Intelligence, Elsevier, vol. 74(C), pages 34-42.
    10. Egeland, Jonathan, 2022. "The ups and downs of intelligence: The co-occurrence model and its associated research program," Intelligence, Elsevier, vol. 92(C).
    Full references (including those not matched with items on IDEAS)

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