Integrative studies of diverse neuronal networks that govern social behavior are hindered by a lack of methods to record neural activity comprehensively across the entire brain. The recent development of the miniature fish Danionella cerebrum as a model organism offers one potential solution, as the small size and optical transparency of these animals make it possible to visualize circuit activity throughout the nervous system. Here, we establish the feasibility of using Danionella as a model for social behavior and socially reinforced learning by showing that adult fish exhibit strong affiliative tendencies and that social interactions can serve as the reinforcer in an appetitive conditioning paradigm. Fish exhibited an acute ability to identify conspecifics and distinguish them from closely related species, which was mediated by both visual and particularly olfactory cues. These behaviors were abolished by pharmacological and genetic interference with oxytocin signaling, demonstrating the conservation of key neural mechanisms observed in other vertebrates. Our work validates Danionella as a tool for understanding the social brain in general and its modulation by neuropeptide signaling in particular.
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http://dx.doi.org/10.1016/j.cub.2024.11.037 | DOI Listing |
IJCAI (U S)
August 2024
Department of Computer Science, Harvard University.
The escalating prevalence of cannabis use, and associated cannabis-use disorder (CUD), poses a significant public health challenge globally. With a notably wide treatment gap, especially among emerging adults (EAs; ages 18-25), addressing cannabis use and CUD remains a pivotal objective within the 2030 United Nations Agenda for Sustainable Development Goals (SDG). In this work, we develop an online reinforcement learning (RL) algorithm called reBandit which will be utilized in a mobile health study to deliver personalized mobile health interventions aimed at reducing cannabis use among EAs.
View Article and Find Full Text PDFJ Am Pharm Assoc (2003)
December 2024
Department of Clinical and Administrative Pharmacy, College of Pharmacy, University of Georgia, Athens, GA.
Background: Buprenorphine is an effective medication for treating opioid use disorder (OUD) and reducing opioid-related overdose deaths. Community pharmacies are key access points for buprenorphine, with pharmacists well-positioned to dispense and counsel patients on appropriate use. Recent evidence has identified pharmacists' growing engagement in buprenorphine services; yet, access to buprenorphine and related services in community pharmacies remains limited.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Psychiatry and Behavioral Neuroscience, University of Chicago, 5841 S Maryland Ave, Chicago, IL, 60637, USA.
Psychoactive drugs such as alcohol and stimulants are typically used in social settings such as bars, parties or small groups. Yet, relatively little is known about how social contexts affect responses to drugs, or how the drugs alter social interactions. It is possible that positive social contexts enhance the rewarding properties of drugs, perhaps increasing their potential for repeated use and abuse.
View Article and Find Full Text PDFCurr Biol
December 2024
Department of Neurobiology, University of Utah, 20 S 2030 E, BPRB 490D, Salt Lake City, UT 84112, USA. Electronic address:
Integrative studies of diverse neuronal networks that govern social behavior are hindered by a lack of methods to record neural activity comprehensively across the entire brain. The recent development of the miniature fish Danionella cerebrum as a model organism offers one potential solution, as the small size and optical transparency of these animals make it possible to visualize circuit activity throughout the nervous system. Here, we establish the feasibility of using Danionella as a model for social behavior and socially reinforced learning by showing that adult fish exhibit strong affiliative tendencies and that social interactions can serve as the reinforcer in an appetitive conditioning paradigm.
View Article and Find Full Text PDFBr J Soc Psychol
January 2025
Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China.
The burgeoning progress of cutting-edge technology paradoxically evokes nostalgia. How does this emotion influence responses to innovative technology, such as Artificial Intelligence (AI)? We hypothesized that two pathways operate concurrently. First, by enhancing connection with significant others, nostalgia constitutes a psychological resource that supports exploration of technological innovation, thereby promoting positive responses to AI.
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