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Research Article: New Research, Cognition and Behavior

Oscillatory neural correlates of police firearms decision making in virtual reality

Nicholas A. Alexander, Clíona L. Kelly, Hongfang Wang, Robert A. Nash, Shaun Beebe, Matthew J. Brookes and Klaus Kessler
eNeuro 8 July 2024, ENEURO.0112-24.2024; https://doi.org/10.1523/ENEURO.0112-24.2024
Nicholas A. Alexander
1Wellcome Centre for Human Neuroimaging, Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3AR, UK,
2Aston Institute of Health and Neurodevelopment, College of Health and Life Sciences, Aston University, Birmingham, B4 7E, UK,
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  • For correspondence: n.alexander{at}ucl.ac.uk klaus.kessler1{at}ucd.ie
Clíona L. Kelly
3Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, 06520, USA,
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Hongfang Wang
5School of Psychology, University College Dublin, Dublin, D4, Ireland,
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Robert A. Nash
2Aston Institute of Health and Neurodevelopment, College of Health and Life Sciences, Aston University, Birmingham, B4 7E, UK,
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Shaun Beebe
4Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, NG7 2QX, UK,
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Matthew J. Brookes
4Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, NG7 2QX, UK,
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Klaus Kessler
2Aston Institute of Health and Neurodevelopment, College of Health and Life Sciences, Aston University, Birmingham, B4 7E, UK,
5School of Psychology, University College Dublin, Dublin, D4, Ireland,
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  • For correspondence: n.alexander{at}ucl.ac.uk klaus.kessler1{at}ucd.ie
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Abstract

We investigated the neural signatures of expert decision making in the context of police training in a virtual reality-based shoot/don’t shoot scenario. Police officers can use stopping force against a perpetrator, which may require using a firearm and each decision made by an officer to discharge their firearm or not has substantial implications. Therefore it is important to understand the cognitive and underlying neurophysiological processes that lead to such a decision. We used virtual reality-based simulations to elicit ecologically valid behaviour from Authorised Firearms Officers (AFOs) in the UK and matched novices in a Shoot/Don’t Shoot task and recorded electroencephalography concurrently. We found that AFOs had consistently faster response times than novices, suggesting our task was sensitive to their expertise. To investigate differences in decision making processes under varying levels of threat and expertise, we analysed electrophysiological signals originating from the anterior cingulate cortex. In line with similar response inhibition tasks, we found greater increases in pre-response theta power when participants inhibited the response to shoot when under no threat as compared to shooting. Most importantly, we showed that when preparing against threat, theta power increase was greater for experts than novices, suggesting that differences in performance between experts and novices are due to their greater orientation towards threat. Additionally, shorter beta-rebounds suggest that experts were “ready for action” sooner. More generally, we demonstrate that investigation of expert decision making should incorporate naturalistic stimuli and an appropriate control group to enhance validity.

Significance statement This study aims to unravel the complexities of how expertise affects neural processes during uncertain scenarios by investigating police decision making. We present our variant on shoot/don’t shoot tasks which was co-developed with police instructors to allow graded levels of force to elicit realistic responses. We show that experts exhibit superior performance in this virtual reality-based task and that this is associated with greater modulation of frontal midline theta activity prior to a decision. Understanding the intricacies of police decision making–especially concerning the use of firearms–is vital to inform policy effectively. Further, the naturalistic imaging methods employed here hold broader significance for neuroscientists aiming to investigate real world behaviour.

Footnotes

  • The authors would like to thank the Durham Constabulary and Cleveland Police for their generous support of this research project from inception and throughout. Without their guidance regarding AFO practices and provision of facilities, this project would not have been possible. We would also like to thank our colleagues at the Wellcome Centre for Human Neuroimaging, Aston Institute of Health and Neurodevelopment, and Sir Peter Mansfield Imaging Centre for valuable discussions about data analysis. We thank Nafeesa Gul for help with data collection conducted at Aston University.

  • Authors report no conflict of interest

  • This project was funded through a collaboration between Aston University (50th Anniversary PhD studentship) and the University of Nottingham.

  • ↵†M.J.B. is a director of Cerca Magnetics Limited, a spin-out company whose aim is to commercialise aspects of OPM-MEG technology. M.J.B. holds founding equity in Cerca Magnetics Limited.

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

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Oscillatory neural correlates of police firearms decision making in virtual reality
Nicholas A. Alexander, Clíona L. Kelly, Hongfang Wang, Robert A. Nash, Shaun Beebe, Matthew J. Brookes, Klaus Kessler
eNeuro 8 July 2024, ENEURO.0112-24.2024; DOI: 10.1523/ENEURO.0112-24.2024

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Oscillatory neural correlates of police firearms decision making in virtual reality
Nicholas A. Alexander, Clíona L. Kelly, Hongfang Wang, Robert A. Nash, Shaun Beebe, Matthew J. Brookes, Klaus Kessler
eNeuro 8 July 2024, ENEURO.0112-24.2024; DOI: 10.1523/ENEURO.0112-24.2024
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