在人类可卡因成中解构延迟折扣使用计算建模和神经成像
Michal M Graczyk1, Rudolf N Cardinal2, Tsen Vei Lim1
1Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Biological psychiatry. Cognitive neuroscience and neuroimaging
|December 28, 2024
概括
在可卡因使用障碍 (CUD) 中的冲动选择更好地通过延迟折扣和选择度的新型计算模型来解释. 该模型揭示了与标准方法相比,决策过程中的差异.
科学领域:
- 神经科学是一个神经科学.
- 计算精神病学是一种计算精神病学.
- 行为经济学是一种行为经济学.
背景情况:
- 延迟折扣,即时奖励的偏好,与冲动性和精神疾病有关.
- 异常延迟折扣的神经心理基础仍然不清楚.
- 本研究研究了使用计算模型和神经成像来研究延迟折扣的选择和费率过程.
研究的目的:
- 将延迟折扣分解为选择和利率流程.
- 为了比较不同计算模型的可靠性来估计折扣参数.
- 检查白质连接性和可卡因使用障碍 (CUD) 的延迟折扣之间的关联.
主要方法:
- 107名患有CUD和81名健康对照患者完成了货币选择问卷.
- 使用Kirby,后勤回归和贝叶斯模型计算了折扣率,贝叶斯模型包括选择度参数.
- 扩散张力成像被用来分析连接执行控制和估值网络的白质道.
主要成果:
- 患有CUD的患者表现出更高的折扣率和更低的选择清晰度,表明选择漠不关心的增加.
- 与其他方法相比,完整的层次贝叶斯模型在参数恢复方面表现出卓越的可靠性.
- 白质精简连接执行控制网络和核 accumbens 预测健康个体的折扣率,但不是在CUD患者.
结论:
- 一个新的计算模型准确地捕捉了延迟折扣和选择度,为CUD中的冲动选择提供了更好的解释.
- 这项研究发现了冲动性决策的独特神经心理特征.
- 这些发现可能会扩展到了解其他临床群体的冲动性.
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