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Varshney A, Munns ME, Kasowski J, Zhou M, He C, Grafton ST, Giesbrecht B, Hegarty M, Beyeler M. Stress affects navigation strategies in immersive virtual reality. Sci Rep 2024; 14:5949. [PMID: 38467699 PMCID: PMC10928118 DOI: 10.1038/s41598-024-56048-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 03/01/2024] [Indexed: 03/13/2024] Open
Abstract
There are known individual differences in both the ability to learn the layout of novel environments and the flexibility of strategies for navigating known environments. However, it is unclear how navigational abilities are impacted by high-stress scenarios. Here we used immersive virtual reality (VR) to develop a novel behavioral paradigm to examine navigation under dynamically changing situations. We recruited 48 participants (24 female; ages 17-32) to navigate a virtual maze (7.5 m × 7.5 m). Participants learned the maze by moving along a fixed path past the maze's landmarks (paintings). Subsequently, participants experienced either a non-stress condition, or a high-stress condition tasking them with navigating the maze. In the high-stress condition, their initial path was blocked, the environment was darkened, threatening music was played, fog obstructed more distal views of the environment, and participants were given a time limit of 20 s with a countdown timer displayed at the top of their screen. On trials where the path was blocked, we found self-reported stress levels and distance traveled increased while trial completion rate decreased (as compared to non-stressed control trials). On unblocked stress trials, participants were less likely to take a shortcut and consequently navigated less efficiently compared to control trials. Participants with more trait spatial anxiety reported more stress and navigated less efficiently. Overall, our results suggest that navigational abilities change considerably under high-stress conditions.
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Affiliation(s)
- Apurv Varshney
- Department of Computer Science, University of California, Santa Barbara, CA, USA
| | - Mitchell E Munns
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA, USA.
| | - Justin Kasowski
- Interdepartmental Graduate Program in Dynamical Neuroscience, University of California, Santa Barbara, CA, USA
| | - Mantong Zhou
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA, USA
| | - Chuanxiuyue He
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA, USA
| | - Scott T Grafton
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA, USA
| | - Barry Giesbrecht
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA, USA
| | - Mary Hegarty
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA, USA
| | - Michael Beyeler
- Department of Computer Science, University of California, Santa Barbara, CA, USA
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA, USA
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He Q, Liu JL, Eschapasse L, Zagora AK, Brown TI. The neural correlates of memory integration in value-based decision-making during human spatial navigation. Neuropsychologia 2024; 193:108758. [PMID: 38103679 DOI: 10.1016/j.neuropsychologia.2023.108758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 09/12/2023] [Accepted: 12/11/2023] [Indexed: 12/19/2023]
Abstract
In daily life, we often make decisions based on relative value of the options, and we often derive these values from segmenting or integrating the outcomes of past episodes in memory. The neural correlates involved in value-based decision-making have been extensively studied in the literature, but few studies have investigated this topic in decisions that require segmenting or integrating episodic memory from related sources, and even fewer studies examine it in the context of spatial navigation. Building on the computational models from our previous studies, the current study investigates the neural substrates involved in decisions that require people either segment or integrate wayfinding outcomes involving different goals, across virtual spatial navigation tasks with differing demands. We find that when decisions require computation of spatial distances for navigation options, but also evaluation of one's prior spatial navigation ability with the task, the estimated value of navigational choices (EV) modulates neural activity in the dorsomedial prefrontal (dmPFC) cortex and ventrolateral prefrontal (vlFPC) cortex. However, superior parietal cortex tracked EV when decision-making tasks only require spatial distance memory but not evaluation of spatial navigation ability. Our findings reveal divergent neural substrates of memory integration in value-based decision-making under different spatial processing demands.
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Affiliation(s)
- Qiliang He
- School of Psychology, Georgia Institute of Technology, USA.
| | - Jancy Ling Liu
- School of Economics, Georgia Institute of Technology, USA
| | - Lou Eschapasse
- School of Psychology, Georgia Institute of Technology, USA
| | - Anna K Zagora
- School of Biological Sciences, Georgia Institute of Technology, USA
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