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.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11030523 | PMC |
http://dx.doi.org/10.21203/rs.3.rs-3891586/v1 | DOI Listing |
Prev Sci
January 2025
School of Behavioral Health Sciences, The University of Texas Health Science Center at Houston, 7000 Fannin St, Houston, TX, 77030, USA.
Developing accurate and equitable screening protocols can lead to more targeted, efficient, and effective, teen dating violence (TDV) prevention programming. Current TDV screening protocols perform poorly and are rarely implemented, but recent research and policy emphasizes the importance of leveraging more trauma-focused screening measures for improved prevention outcomes. In response, the present study examined which adversities (i.
View Article and Find Full Text PDFBehav Processes
January 2025
Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou 571158, China. Electronic address:
Predation risk can influence behavioral decisions of animals in various ways. Prey animals have the opportunity to choose antipredation behaviors and escape strategies only by quickly and accurately identifying predators. As precocial birds, domestic chickens (Gallus gallus domesticus) have no adaptation period after hatching and must immediately survive under predation risk.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Pediatrics and Child Health, Makerere University, College of Health Sciences, Kampala, Uganda.
Background: Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter natural language processing model that uses deep learning algorithms trained on vast amounts of data to generate human-like texts such as essays. Consequently, it has introduced new challenges and threats to medical education. We assessed the use of ChatGPT and other AI tools among medical students in Uganda.
View Article and Find Full Text PDFJ Gambl Stud
January 2025
School of Psychology, Deakin University, 221 Burwood Hwy, Burwood, VIC, 3125, Australia.
Smartphones can extend the reach of evidence-based gambling treatment services, yet the general acceptability of app-delivered gambling interventions remains unknown. This study examined the general acceptability and use of app-delivered gambling interventions, and predictors of both, among 173 Australian adults with a lifetime gambling problem (48.5% male, M = 46.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan 430079, China.
Bacterial resistance has emerged as one of the greatest threats to human health, and phages have shown tremendous potential in addressing the issue of drug-resistant bacteria by lysing host. The identification of phage-host interactions (PHI) is crucial for addressing bacterial infections. Some existing computational methods for predicting PHI are suboptimal in terms of prediction efficiency due to the limited types of available information.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!