Operant light self-administration in mice and its relevance to digital technology-based disorders.

IF 6.6 1区 医学 Q1 PSYCHIATRY Journal of Behavioral Addictions Pub Date : 2025-03-04 DOI:10.1556/2006.2025.00017
Shu K E Tam, Aleksandra Stryjska, Helene Gu, Benjamin Becker
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引用次数: 0

Abstract

Behavioral addictions share symptomatological features with substance addiction. From the associative learning perspective, these characteristics include excessive and unregulated self-administration of sensory and other reinforcers, potentially reflecting the transition from goal-directed actions (action → outcome associations) to habitual responses (stimulus → response associations). In laboratory mice, light stimulation at an optimal intensity possesses some incentive properties and a brief light pulse represents an effective reinforcer for persistent operant responding. The operant light self-administration paradigm with clearly defined sensory reinforcers and reinforcement schedules may be utilized to elucidate the general mechanisms of excessive habitual responding to seek non-drug and non-feeding cues in mice. This cross-species approach can shed light on some maladaptive habits that have emerged recently in our modern society, including digital technology-based disorders.

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小鼠的操作性光自我管理及其与基于数字技术的失调症的相关性。
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来源期刊
CiteScore
12.30
自引率
7.70%
发文量
91
审稿时长
20 weeks
期刊介绍: The aim of Journal of Behavioral Addictions is to create a forum for the scientific information exchange with regard to behavioral addictions. The journal is a broad focused interdisciplinary one that publishes manuscripts on different approaches of non-substance addictions, research reports focusing on the addictive patterns of various behaviors, especially disorders of the impulsive-compulsive spectrum, and also publishes reviews in these topics. Coverage ranges from genetic and neurobiological research through psychological and clinical psychiatric approaches to epidemiological, sociological and anthropological aspects.
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Operant light self-administration in mice and its relevance to digital technology-based disorders. Bidirectional association between problematic smartphone use and aggressive behavior: A cross-lagged longitudinal study. Enhanced conditioning and disrupted extinction processes in men struggling with compulsive sexual behaviors. Insights into the temporal dynamics of identifying problem gambling on an online casino: A machine learning study on routinely collected individual account data. Perceived coworkers' work addiction: Scale development and associations with one's own workaholism, job stress, and job satisfaction in 85 cultures.
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