Mathematical ability is known to be heritable and related to several genes that play a role for brain development. But it has not been clear how math-related genes might sculpt the developing human brain. As a result, it is an open question how genetic variation could give rise to differences in mathematical ability. To address this gap in knowledge, Skeide and his collaborators combined genotyping with brain imaging in unschooled children without mathematical training.

The authors analyzed 18 single nucleotide polymorphisms (SNPs) -- genetic variants affecting a single DNA building block -- in 10 genes previously implicated in mathematical performance. They then examined the relationship between these variants and the volume of grey matter (which mainly consists of nerve cell bodies), across the whole brain in a total of 178 three- to six-year-old children who underwent magnetic resonance imaging. Finally, they identified brain regions whose grey matter volumes could predict math test scores in second grade.

They found that variants in ROBO1, a gene that regulates prenatal growth of the outermost layer of neural tissue in the brain, are associated with the grey matter volume in the right parietal cortex, a key brain region for quantity representation. Moreover, grey matter volume within these regions predicted the children's math test scores at seven to nine years of age. According to the authors, the results suggest that genetic variability might shape mathematical ability by influencing the early development of the brain's basic quantity processing system.

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Journal Reference:

1. Michael A. Skeide, Katharina Wehrmann, Zahra Emami, Holger Kirsten, Annette M. Hartmann, Dan Rujescu. Neurobiological origins of individual differences in mathematical ability. PLOS Biology, 2020; 18 (10): e3000871 DOI: 10.1371/journal.pbio.3000871