利用大鼠的计算建模深入了解认知努力决策背后不同的决策策略。
Insight into differing decision-making strategies that underlie cognitively effort-based decision making using computational modeling in rats.
机构信息
Department of Psychology, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada.
Fashion Business School, London College of Fashion, University of the Arts London, London, UK.
出版信息
Psychopharmacology (Berl). 2024 May;241(5):947-962. doi: 10.1007/s00213-023-06521-5. Epub 2024 Jan 3.
RATIONALE
The rat cognitive effort task (rCET), a rodent model of cognitive rather than physical effort, requires animals to choose between an easy or hard visuospatial discrimination, with a correct hard choice more highly rewarded. Like in humans, there is stable individual variation in choice behavior. In previous reports, animals were divided into two groups-workers and slackers-based on their mean preference for the harder option. Although these groups differed in their response to pharmacological challenges, the rationale for using this criterion for grouping was not robust.
METHODS
We collated experimental data from multiple cohorts of male and female rats performing the rCET and used a model-based framework combining drift diffusion modeling with cluster analysis to identify the decision-making processes underlying variation in choice behavior.
RESULTS
We verified that workers and slackers are statistically different groups but also found distinct intra-group profiles. These subgroups exhibited dissociable performance during the attentional phase, linked to distinct decision-making profiles during choice. Reanalysis of previous pharmacology data using this model-based framework showed that serotonergic drug effects were explained by changes in decision boundaries and non-decision times, while scopolamine's effects were driven by changes in decision starting points and rates of evidence accumulation.
CONCLUSIONS
Modeling revealed the decision-making processes that are associated with cognitive effort costs, and how these differ across individuals. Reanalysis of drug data provided insight into the mechanisms through which different neurotransmitter systems impact cognitively effortful attention and decision-making processes, with relevance to multiple psychiatric disorders.
原理
大鼠认知努力任务(rCET)是一种认知而非体力努力的啮齿动物模型,要求动物在简单或困难的视觉空间辨别任务之间进行选择,正确选择困难选项会得到更高的奖励。与人类一样,动物在选择行为上存在稳定的个体差异。在之前的报告中,根据动物对较难选项的平均偏好,将动物分为工人组和懒鬼组。尽管这两组在对药物挑战的反应上有所不同,但使用这种分组标准的理由并不充分。
方法
我们整理了多批雄性和雌性大鼠进行 rCET 的实验数据,并使用基于模型的框架,结合漂移扩散建模和聚类分析,确定了导致选择行为变化的决策过程。
结果
我们验证了工人组和懒鬼组是统计学上不同的群体,但也发现了内部群体的不同特征。这些亚组在注意力阶段表现出不同的表现,与选择过程中的不同决策特征相关联。使用这种基于模型的框架重新分析以前的药理学数据表明,血清素能药物的作用是通过改变决策边界和非决策时间来解释的,而东莨菪碱的作用则是通过改变决策起点和证据积累速度来驱动的。
结论
模型揭示了与认知努力成本相关的决策过程,以及这些过程如何在个体之间有所不同。对药物数据的重新分析提供了关于不同神经递质系统如何影响认知努力注意力和决策过程的机制的见解,与多种精神障碍有关。