4.8 Article

Testing the Empathizing-Systemizing theory of sex differences and the Extreme Male Brain theory of autism in half a million people

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1811032115

Keywords

autism; sex differences; empathy; systemizing; big data

Funding

  1. Medical Research Council (MRC)
  2. Wellcome Trust
  3. Templeton World Charity Foundation
  4. Autism Research Trust
  5. National Institute of Health Research (NIHR) Collaborations for Leadership in Applied Health Research and Care (CLAHRC) East of England Programme
  6. NIHR Cambridge Biomedical Research Centre
  7. Innovative Medicines Initiative 2 Joint Undertaking (JU) [777394]
  8. European Union
  9. European Federation of Pharmaceutical Industries and Associations
  10. Autistica
  11. Simons Foundation Autism Research Initiative
  12. Autism Speaks
  13. MRC [G0600977] Funding Source: UKRI

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The Empathizing-Systemizing (E-S) theory of typical sex differences suggests that individuals may be classified based on empathy and systemizing. An extension of the E-S theory, the Extreme Male Brain (EMB) theory suggests that autistic people on average have a shift towards a more masculinized brain along the E-S dimensions. Both theories have been investigated in small sample sizes, limiting their generalizability. Here we leverage two large datasets (discovery n = 671,606, including 36,648 autistic individuals primarily; and validation n = 14,354, including 226 autistic individuals) to investigate 10 predictions of the E-S and the EMB theories. In the discovery dataset, typical females on average showed higher scores on short forms of the Empathy Quotient (EQ) and Sensory Perception Quotient (SPQ), and typical males on average showed higher scores on short forms of the Autism Spectrum Quotient (AQ) and Systemizing Quotient (SQ). Typical sex differences in these measures were attenuated in autistic individuals. Analysis of brain types revealed that typical females on average were more likely to be Type E (EQ > SQ) or Extreme Type E and that typical males on average were more likely to be Type S (SQ > EQ) or Extreme Type S. In both datasets, autistic individuals, regardless of their reported sex, on average were masculinized. Finally, we demonstrate that D-scores (difference between EQ and SQ) account for 19 times more of the variance in autistic traits (43%) than do other demographic variables including sex. Our results provide robust evidence in support of both the E-S and EMB theories.

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