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Fluctuating asymmetry in brain structure and general intelligence in 73-year-olds

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  • Moodie, Joanna E.
  • Ritchie, Stuart J.
  • Cox, Simon R.
  • Harris, Mathew A.
  • Muñoz Maniega, Susana
  • Valdés Hernández, Maria C.
  • Pattie, Alison
  • Corley, Janie
  • Bastin, Mark E.
  • Starr, John M.
  • Wardlaw, Joanna M.
  • Deary, Ian J.

Abstract

Fluctuating body asymmetry is theorized to indicate developmental instability, and to have small positive associations with low socioeconomic status (SES). Previous studies have reported small negative associations between fluctuating body asymmetry and cognitive functioning, but relationships between fluctuating brain asymmetry and cognitive functioning remain unclear. The present study investigated the association between general intelligence (a latent factor derived from a factor analysis on 13 cognitive tests) and the fluctuating asymmetry of four structural measures of brain hemispheric asymmetry: cortical surface area, cortical volume, cortical thickness, and white matter fractional anisotropy. The sample comprised members of the Lothian Birth Cohort 1936 (LBC1936, N = 636, mean age = 72.9 years). Two methods were used to calculate structural hemispheric asymmetry: in the first method, regions contributed equally to the overall asymmetry score; in the second method, regions contributed proportionally to their size. When regions contributed equally, cortical thickness asymmetry was negatively associated with general intelligence (β = −0.18,p < .001). There was no association between cortical thickness asymmetry and childhood SES, suggesting that other mechanisms are involved in the thickness asymmetry-intelligence association. Across all cortical metrics, asymmetry of regions identified by the parieto-frontal integration theory (P-FIT) was not more strongly associated with general intelligence than non-P-FIT asymmetry. When regions contributed proportionally, there were no associations between general intelligence and any of the asymmetry measures. The implications of these findings, and of different methods of calculating structural hemispheric asymmetry, are discussed.

Suggested Citation

  • Moodie, Joanna E. & Ritchie, Stuart J. & Cox, Simon R. & Harris, Mathew A. & Muñoz Maniega, Susana & Valdés Hernández, Maria C. & Pattie, Alison & Corley, Janie & Bastin, Mark E. & Starr, John M. & Wa, 2020. "Fluctuating asymmetry in brain structure and general intelligence in 73-year-olds," Intelligence, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:intell:v:78:y:2020:i:c:s0160289619301898
    DOI: 10.1016/j.intell.2019.101407
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    1. Matthew F. Glasser & Timothy S. Coalson & Emma C. Robinson & Carl D. Hacker & John Harwell & Essa Yacoub & Kamil Ugurbil & Jesper Andersson & Christian F. Beckmann & Mark Jenkinson & Stephen M. Smith , 2016. "A multi-modal parcellation of human cerebral cortex," Nature, Nature, vol. 536(7615), pages 171-178, August.
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    3. Hope, David & Bates, Timothy & Penke, Lars & Gow, Alan J. & Starr, John M. & Deary, Ian J., 2013. "Symmetry of the face in old age reflects childhood social status," Economics & Human Biology, Elsevier, vol. 11(2), pages 236-244.
    4. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
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