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Research ArticleResearch Article: New Research, Novel Tools and Methods

Recording Neural Reward Signals in a Naturalistic Operant Task Using Mobile-EEG and Augmented Reality

Jaleesa S. Stringfellow, Omer Liran, Mei-Heng Lin and Travis E. Baker
eNeuro 16 July 2024, 11 (8) ENEURO.0372-23.2024; https://doi.org/10.1523/ENEURO.0372-23.2024
Jaleesa S. Stringfellow
1Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey 07102
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Omer Liran
2Department of Psychiatry & Behavioral Neurosciences, Cedars-Sinai Virtual Medicine, Los Angeles, California 90048
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Mei-Heng Lin
1Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey 07102
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Travis E. Baker
1Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey 07102
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Abstract

The electrophysiological response to rewards recorded during laboratory tasks has been well documented, yet little is known about the neural response patterns in a more naturalistic setting. Here, we combined a mobile-EEG system with an augmented reality headset to record event-related brain potentials (ERPs) while participants engaged in a naturalistic operant task to find rewards. Twenty-five participants were asked to navigate toward a west or east goal location marked by floating orbs, and once participants reached the goal location, the orb would then signify a reward (5 cents) or no-reward (0 cents) outcome. Following the outcome, participants returned to a start location marked by floating purple rings, and once standing in the middle, a 3 s counter signaled the next trial, for a total of 200 trials. Consistent with previous research, reward feedback evoked the reward positivity, an ERP component believed to index the sensitivity of the anterior cingulate cortex to reward prediction error signals. The reward positivity peaked ∼230 ms with a maximal at channel FCz (M = −0.695 μV, ±0.23) and was significantly different than zero (p < 0.01). Participants took ∼3.38 s to reach the goal location and exhibited a general lose-shift (68.3% ±3.5) response strategy and posterror slowing. Overall, these novel findings provide support for the idea that combining mobile-EEG with augmented reality technology is a feasible solution to enhance the ecological validity of human electrophysiological studies of goal-directed behavior and a step toward a new era of human cognitive neuroscience research that blurs the line between laboratory and reality.

  • anterior cingulate cortex
  • augmented reality
  • EEG
  • real-world neuroscience
  • reinforcement learning
  • reward

Footnotes

  • The authors declare no competing financial interests.

  • We thank the research assistants of the Laboratory for Cognitive Neuroimaging and Stimulation for help with data collection. This research was supported by Rutgers Research Council Grant, departmental research start-up funds from Rutgers University and from Scialog grant #29077 from Research Corporation for Science Advancement and Frederick Gardner Cottrell Foundation (to T.E.B.). J.S.S. was supported by the National Institutes of Health NIGMS 5T32GM140951.

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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August 2024
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Recording Neural Reward Signals in a Naturalistic Operant Task Using Mobile-EEG and Augmented Reality
Jaleesa S. Stringfellow, Omer Liran, Mei-Heng Lin, Travis E. Baker
eNeuro 16 July 2024, 11 (8) ENEURO.0372-23.2024; DOI: 10.1523/ENEURO.0372-23.2024

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Recording Neural Reward Signals in a Naturalistic Operant Task Using Mobile-EEG and Augmented Reality
Jaleesa S. Stringfellow, Omer Liran, Mei-Heng Lin, Travis E. Baker
eNeuro 16 July 2024, 11 (8) ENEURO.0372-23.2024; DOI: 10.1523/ENEURO.0372-23.2024
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Keywords

  • anterior cingulate cortex
  • augmented reality
  • EEG
  • real-world neuroscience
  • reinforcement learning
  • reward

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