Evidence map›Paper›PMID 38645017›Full record

ArticleResearch square2024

Using Virtual Reality to Study Spatial Mapping and Threat Learning.

Claire E Marino, Pavel Rjabtsenkov, Caitlin Sharp, Zonia Ali, Evelyn Pineda, Shreya Bavdekar, Tanya Garg, Kendal Jordan, Mary Halvorsen, Carlos Aponte and 3 more

Abstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Claire E MarinoDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.
Pavel RjabtsenkovDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.
Caitlin SharpDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.
Zonia AliDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.
Evelyn PinedaDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.
Shreya BavdekarDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.
Tanya GargDepartment of Psychology, University of Rochester, Rochester, NY 14627, USA.
Kendal JordanDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.
Mary HalvorsenDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.
Carlos AponteDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.
Julie BlueDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.
Xi ZhuDepartment of Psychiatry, Columbia University Irving Medical Center, New York, NY 10032, USA.
Benjamin-Suarez JimenezDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.

Funding

Using novel virtual reality tasks to identify neural mechanisms of discrimination learning in PTSDR01MH131532 · NIMH · UNIVERSITY OF ROCHESTER · PI Benjamin Suarez-Jimenez · 2023 to 2026
$2.7M
University of Rochester Medical Center PREP Training ProgramR25GM140202 · NIGMS · UNIVERSITY OF ROCHESTER · PI ROBERT, JACQUES, SMOLOCK, ELAINE M · 2020 to 2024
$1.2M
Neural Correlates of Location-Specific Contextual Threat Discrimination in Post-Traumatic Stress Disorders REV1K01MH118428 · NIMH · UNIVERSITY OF ROCHESTER · PI SUAREZ-JIMENEZ, BENJAMIN · 2018 to 2022
$807k
NIGMS NIH HHS R25 GM140202NIMH NIH HHS K01 MH118428NIMH NIH HHS R01 MH131532Wellcome Trust
6 · The paper itself

Abstract

Using spatial mapping processes to learn about threat and safety in an environment is crucial for survival. Research using conditioning paradigms has explored the effects of state (transient arousal) and trait anxiety (anxiety as an aspect of personality) on threat learning and acquisition. However, results are mixed, and little is known regarding why some individuals do not learn to discriminate between threat and safety during contextual conditioning. We used a virtual reality (VR) contextual threat conditioning paradigm to elucidate the effects of state and trait anxiety on contextual threat learning. 70 healthy participants (46 female) navigated and "picked" flowers in a VR environment. Flowers picked in the dangerous zone (half of the environment) were paired with an electric shock (or "bee sting") to the hand; flowers picked in the safe zone were never paired with a shock. Participants also collected and returned neutral objects as a measure of spatial memory. Galvanic skin response (GSR) was measured throughout the task and anxiety was assessed via the State Trait Anxiety Inventory (STAI). Participants were categorized as learners if they correctly identified the two zones after the task. Non-learners, compared to learners, performed significantly worse during the spatial memory task and demonstrated significantly higher state anxiety scores and GSR levels throughout the task. Learners showed higher skin conductance response (SCR) in the dangerous zone compared to the safe zone while non-learners showed no SCR differences between zones. These results indicate that state anxiety may impair spatial mapping, disrupting contextual threat learning.

Identifiers

PMID38645017
PMCPMC11030523

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.