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Modeling Brain Dynamics During Virtual Reality-Based Emergency Response Learning Under Stress.

Oshin Tyagi1, Sarah Hopko1, John Kang1

  • 1Wm. Michael Barnes '64 Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA.

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Summary

Stress impaired firefighter training performance, but enhanced brain connectivity compensated during retrieval. Virtual reality (VR) training with functional Near Infrared Spectroscopy (fNIRS) can adapt to stress for better learning.

Keywords:
TrainingfNIRSfirefightersneuroergonomicsstress

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Virtual Reality Training

Background:

  • Stress negatively impacts learning and memory retention.
  • Virtual reality (VR) training systems can be designed to manipulate stress levels.
  • Functional Near Infrared Spectroscopy (fNIRS) enables brain imaging for adaptive VR training.

Purpose of the Study:

  • To model neural dynamics of learning and retrieval under stress.
  • Investigate stress effects in a VR-based emergency response training for firefighters.

Main Methods:

  • Forty firefighters trained in VR emergency shutdown, divided into control and stress groups.
  • Stress group experienced simulated fire, smoke, and explosions.
  • Collected performance scores, fNIRS brain activity, and prefrontal cortex (PFC) connectivity data.

Main Results:

  • Stress group showed slower learning but similar retrieval performance compared to control.
  • Stress group exhibited reduced PFC activation but increased PFC and motor region connectivity.
  • Enhanced brain connectivity in the stress group compensated for performance deficits.

Conclusions:

  • Stress impairs initial learning but adaptive neural strategies, like increased brain connectivity, facilitate comparable retrieval performance.
  • VR-based training systems utilizing fNIRS can monitor and adapt to trainee cognitive states under stress.