Elevated plasma corticosterone during stressful events is linked to rapid changes in behavior in vertebrates and can mediate learning and memory consolidation. We tested the importance of acute corticosterone elevation in aversive learning of a novel stressor by wild male eastern fence lizards (Sceloporus undulatus). We found that inhibiting corticosterone elevation (using metyrapone, a corticosterone synthesis blocker) during an encounter with a novel attacker impaired immediate escape responses and limited learning and recall during future encounters. In the wild and in outdoor enclosures, lizards whose acute corticosterone response was blocked by an earlier metyrapone injection did not alter their escape behavior during repeated encounters with the attacker. Control-injected (unblocked) lizards, however, progressively increased flight initiation distance and decreased hiding duration during subsequent encounters. Aversive responses were also initially higher for control lizards exposed to a higher intensity first attack. Further, we demonstrate a role of corticosterone elevation in recollection, since unblocked lizards had heightened antipredator responses 24-28 h later. Exogenously restoring corticosterone levels in metyrapone-injected lizards maintained aversive behaviors and learning at control (unblocked) levels. We suggest that the corticosterone mediation of antipredator behaviors and aversive learning is a critical and general mechanism for the behavioral flexibility of vertebrate prey.
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Psychol Trauma
January 2025
Department of Medicine, Section of General Internal Medicine, University of Chicago.
Objective: From the beginning of the COVID-19 pandemic, there has been a proliferation of anti-Asian racism. In addition to being personal targets of racism, members of the Asian American community have also been vicariously exposed to repeated news and social media stories about anti-Asian racism. Emerging research suggests that vicarious exposure to racism during the pandemic is associated with decreased well-being, although mechanisms of action are not yet clear.
View Article and Find Full Text PDFPhysiol Behav
January 2025
Beijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Beijing, PR China. Electronic address:
Many animal studies have explored decision-making under risk and punishment, particularly regarding potential rewards, but less focus has been placed on contexts involving net losses. Understanding decision-making under net loss conditions can shed light on the neural mechanisms involved. The basolateral amygdala to prelimbic cortex (BLA→PL) pathway is crucial for risky decision-making.
View Article and Find Full Text PDFFront Biosci (Landmark Ed)
January 2025
Department of Zoology, College of Science, King Saud University, 11451 Riyadh, Saudi Arabia.
Background: We investigated chitosan's protective effects against tertiary butylhydroquinone (TBHQ)-induced toxicity in adult male rats, focusing on cognitive functions and oxidative stress in the brain, liver, and kidneys.
Methods: Rats were divided into four groups (n = 8/group): (1) Control, (2) Chitosan only, (3) TBHQ only, and (4) Chitosan + TBHQ.
Results: TBHQ exposure led to significant cognitive impairments and increased oxidative stress, marked by elevated malondialdehyde (MDA) and decreased superoxide dismutase (SOD) and glutathione (GSH) levels.
Sensors (Basel)
January 2025
Engineering Training Center, Nantong University, Nantong 226019, China.
The issue of obstacle avoidance and safety for visually impaired individuals has been a major topic of research. However, complex street environments still pose significant challenges for blind obstacle detection systems. Existing solutions often fail to provide real-time, accurate obstacle avoidance decisions.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Automation and Electrical Engineering, Beihang University, Beijing 100191, China.
Since the field of autonomous vehicles is developing quickly, it is becoming increasingly crucial for them to safely and effectively navigate their surroundings to avoid collisions. The primary collision avoidance algorithms currently employed by self-driving cars are examined in this thorough survey. It looks into several methods, such as sensor-based methods for precise obstacle identification, sophisticated path-planning algorithms that guarantee cars follow dependable and safe paths, and decision-making systems that allow for adaptable reactions to a range of driving situations.
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