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

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2025-03-04

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<jats:title>Abstract</jats:title><jats:p>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 (<jats:italic>action</jats:italic> → <jats:italic>outcome</jats:italic> associations) to habitual responses (<jats:italic>stimulus</jats:italic> → <jats:italic>response</jats:italic> 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.</jats:p>

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10.1556/2006.2025.00017

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Tam, Shu KE, Aleksandra Stryjska, Helene Gu and Benjamin Becker (2025). Operant light self-administration in mice and its relevance to digital technology-based disorders. Journal of Behavioral Addictions. 10.1556/2006.2025.00017 Retrieved from https://hdl.handle.net/10161/32117.

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Scholars@Duke

Tam

Shu Kit Eric Tam

Assistant Professor of Neuroscience at Duke Kunshan University

Tam's research focuses on non-visual (cognitive) effects of environmental light and the impact of light pollution on brain health. He has published papers as a lead author in academic journals including PNAS, Journal of Behavioral Addictions, Translational Psychiatry, Journal of Neuroscience, and Proceedings of the Royal Society B. His teaching interests at Duke Kunshan include Biological Basis of Behavior, Research Methods in Neuroscience, and Computational Neuroscience.

He received his B.Sc. Psychology (1st Class Honors), M.Sc. Psychological Research Methods (Distinction), and Ph.D. in behavioral neuroscience from the University of Nottingham, England. Before joining Duke Kunshan, he was a postdoctoral neuroscientist at the University of Oxford from 2011 to 2023. His current research is funded by Kunshan Shuangchuang Innovative Leading Talent Program and Duke Provost Fund for Duke–Duke Kunshan University Collaboration.


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