神经科学
心理学
强化学习
电生理学
认知
持续绩效任务
任务(项目管理)
神经生理学
惊喜
钢筋
精神分裂症(面向对象编程)
认知心理学
精神科
人工智能
计算机科学
沟通
管理
经济
社会心理学
作者
James F. Cavanagh,David Gregg,Gregory A. Light,Sarah L. Olguin,Richard F. Sharp,Andrew W. Bismark,Savita G. Bhakta,Neal R. Swerdlow,Jonathan L. Brigman,Jared W. Young
标识
DOI:10.1038/s41398-021-01562-w
摘要
Abstract There has been a fundamental failure to translate preclinically supported research into clinically efficacious treatments for psychiatric disorders. One of the greatest impediments toward improving this species gap has been the difficulty of identifying translatable neurophysiological signals that are related to specific behavioral constructs. Here, we present evidence from three paradigms that were completed by humans and mice using analogous procedures, with each task eliciting candidate a priori defined electrophysiological signals underlying effortful motivation, reinforcement learning, and cognitive control. The effortful motivation was assessed using a progressive ratio breakpoint task, yielding a similar decrease in alpha-band activity over time in both species. Reinforcement learning was assessed via feedback in a probabilistic learning task with delta power significantly modulated by reward surprise in both species. Additionally, cognitive control was assessed in the five-choice continuous performance task, yielding response-locked theta power seen across species, and modulated by difficulty in humans. Together, these successes, and also the teachings from these failures, provide a roadmap towards the use of electrophysiology as a method for translating findings from the preclinical assays to the clinical settings.
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