Stress is a general risk factor for psychopathology, but the mechanisms underlying this relationship remain largely unknown. Animal studies and limited human research suggest that stress can induce anhedonic behavior. Moreover, emerging data indicate that genetic variation within the corticotropin-releasing hormone type 1 receptor gene (CRHR1) at rs12938031 may promote psychopathology, particularly in the context of stress. Using an intermediate phenotypic neurogenetics approach, we assessed how stress and CRHR1 genetic variation (rs12938031) influence reward learning, an important component of anhedonia. Psychiatrically healthy female participants (n = 75) completed a probabilistic reward learning task during stress and no-stress conditions while 128-channel event-related potentials were recorded. Fifty-six participants were also genotyped across CRHR1. Response bias, an individual's ability to modulate behavior as a function of reward, was the primary behavioral variable of interest. The feedback-related positivity (FRP) in response to reward feedback was used as a neural index of reward learning. Relative to the no-stress condition, acute stress was associated with blunted response bias as well as a smaller and delayed FRP (indicative of disrupted reward learning) and reduced anterior cingulate and orbitofrontal cortex activation to reward. Critically, rs12938031 interacted with stress to influence reward learning: both behaviorally and neurally, A homozygotes showed stress-induced reward learning abnormalities. These findings indicate that acute, uncontrollable stressors reduce participants' ability to modulate behavior as a function of reward, and that such effects are modulated by CRHR1 genotype. Homozygosity for the A allele at rs12938031 may increase risk for psychopathology via stress-induced reward learning deficits.
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http://dx.doi.org/10.1523/JNEUROSCI.2661-11.2011 | DOI Listing |
Neurosci Biobehav Rev
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Department of Psychology & Waisman Center, University of Wisconsin - Madison, 1500 Highland Av, Madison WI, 53705.
Extreme and chronic adverse experiences in childhood are linked to disruptions in a wide range of behavioral processes, including self-regulation, increased risk taking, and impulsivity. One proposed mechanism for these effects is alterations in how children learn and use information about rewards and risk in their environment. This type of decision making is a complex and multifaceted process consisting of distinct subcomponents, each of which may have varying effects on behavior.
View Article and Find Full Text PDFBiol Aujourdhui
January 2025
Institut d'Écologie et des Sciences de l'Environnement de Paris (iEES Paris), Paris, France - Sorbonne Université, 4 place Jussieu, 75005 Paris, France.
The evolutionary success of angiosperms, which make up more than 95 percent of the world's terrestrial flora, is largely based on their interactions with animal pollinators. Indeed, it is estimated that, on average, 87.5 percent of flowering plants are pollinated by animals.
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View Article and Find Full Text PDFVitam Horm
January 2025
Department of Physiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. Electronic address:
Opioid use disorder (OUD) is considered a global health issue that affects various aspects of patients' lives and poses a considerable burden on society. Due to the high prevalence of remissions and relapses, novel therapeutic approaches are required to manage OUD. Deep brain stimulation (DBS) is one of the most promising clinical breakthroughs in translational neuroscience.
View Article and Find Full Text PDFSci Rep
January 2025
School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India.
This study introduces a novel ensemble learning technique namely Multi-Armed Bandit Ensemble (MAB-Ensemble), designed for lane detection in road images intended for autonomous vehicles. The foundation of the proposed MAB-Ensemble technique is inspired in terms of Multi-Armed bandit optimization to facilitate efficient model selection for lane segmentation. The benchmarking dataset namely TuSimple is used for training, validating and testing the proposed and existing lane detection techniques.
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