• Improving the precision of oxytocin research | A talk at the University of Copenhagen

  • Nov 27 2019
  • Length: 59 mins
  • Podcast

Improving the precision of oxytocin research | A talk at the University of Copenhagen

  • Summary

  • This is a talk a recently gave at the university of Copenhagen in which I discuss ways we can improve the precision of oxytocin research.


    Download the slides here.


    Here is the talk abstract:


    The neuropeptide oxytocin has garnered considerable interest for its role in social behavior and its potential for the treatment of psychiatric illnesses characterised by social dysfunction. However, initial excitement has turned to disappointment with some studies failing to replicate earlier results, which has been attributed to issues surrounding research methods, mechanistic understanding, and theory development. In this talk, I will discuss efforts to improve research design to enhance reproducibility, including precise sample size estimation, synthetic datasets, and ways to test evidence for null models. I will also describe two lines of research aiming to better understand oxytocin signalling mechanisms: i) Research identifying whole brain voxel-by-voxel gene expression patterns of the oxytocin receptor (OXTR) gene and its association with mental states via a large-scale fMRI meta-analysis of 14,371 studies and ii) data from two clinical trials demonstrating that compared to placebo, 8IU intranasal oxytocin (but not 24IU intranasal oxytocin or 1IU intravenous oxytocin) modulates social cognition, pupil diameter, and neural activity. Altogether, these studies provide the first steps towards identifying targets for oxytocin receptor engagement in the human brain and suggest that a lower 8IU intranasal dose might be more efficacious than the conventional 24IU dose. I will close by presenting my new theory of oxytocin’s role in human behaviour, which proposes that oxytocin modulates both social and non-social behaviour to maintain stability in changing environments.


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