基于努力的决策建模:精神分裂症和严重抑郁症的个体差异
Sarah Saperia1, Daniel Felsky2, Susana Da Silva3
1Schizophrenia Division and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychology, University of Toronto Scarborough, Toronto, Ontario, Canada; Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
概括
基于努力的决策表明精神分裂症和抑郁症的个体差异. 在一些参与者中,较低的信息使用与动机,症状和认知问题相关.
科学领域:
- 认知神经科学 认知神经科学
- 精神病学是一个精神病学.
- 行为经济学是一种行为经济学.
背景情况:
- 基于努力的决策对于激励至关重要,涉及成本效益分析.
- 了解精神分裂症和严重抑郁症中的这一过程是解释异常选择行为的关键.
研究的目的:
- 描述基于努力的决策的成本效益计算中的个人差异.
- 在这些疾病中基于信息利用的基础上探索跨诊断子组.
主要方法:
- 145名参与者 (精神分裂症,抑郁症,对照组) 完成了"努力支出获奖任务".
- 混合效应建模和k-means集群基于奖励,概率和成本利用确定了子组.
主要成果:
- 两种不同的群体出现了,没有差异的诊断组.
- 一个群体显示信息利用率明显降低,与年龄较大,认知障碍,激励不足和抑郁症状相关.
结论:
- 在精神分裂症,抑郁症和健康对照中,利用成本效益信息存在个体差异.
- 研究结果可能会为这些条件下的动机缺陷提供个性化的治疗方法.
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