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Oscillatory Neural Correlates of Police Firearms Decision-Making in Virtual Reality
Nicholas A Alexander1,2, Clíona L Kelly2,3, Hongfang Wang2,4
1Wellcome Centre for Human Neuroimaging, Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom n.alexander@ucl.ac.uk klaus.kessler1@ucd.ie.
Expert police officers show enhanced threat orientation and faster response times in virtual reality shoot/don't shoot scenarios. Their brain activity, particularly theta power in the anterior cingulate cortex, indicates heightened readiness and threat focus compared to novices.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Human-Computer Interaction
Background:
- Police decision-making in high-stakes situations is critical.
- Understanding the neurophysiological basis of expert performance is essential for effective training.
Purpose of the Study:
- To investigate the neural correlates of expert decision-making in a virtual reality (VR) shoot/don't shoot task.
- To compare the cognitive and neurophysiological processes of authorized firearms officers (AFOs) and novices.
Main Methods:
- Utilized VR-based shoot/don't shoot simulations with authorized firearms officers (AFOs) and novices.
- Recorded electroencephalography (EEG) to analyze brain activity, focusing on the anterior cingulate cortex.
- Measured response times and analyzed theta and beta power fluctuations.
Main Results:
- AFOs demonstrated significantly faster response times than novices.
- Increased preresponse theta power was observed during response inhibition without threat.
- Experts exhibited greater theta power increases when preparing for threat, indicating enhanced threat orientation.
- Shorter beta rebounds in experts suggest quicker "readiness for action".
Conclusions:
- Expertise in high-pressure decision-making is associated with heightened threat orientation and faster cognitive processing.
- VR simulations with naturalistic stimuli and appropriate control groups are valuable for studying expert performance.
- Findings provide insights into neural mechanisms underlying effective decision-making in law enforcement training.
