跨诊断心理健康症状尺寸预测在复杂环境中使用灵活的基于模型的推理
Toby Wise1, Sirichat Sookud2, Giorgia Michelini3
1Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK. toby.wise@kcl.ac.uk.
Translational psychiatry
|March 7, 2026
概括
心理健康症状,特别是注意力不集中和外部化类型,影响决策过程. 计算建模显示,这些症状与目标导向决策策略的改变有关.
科学领域:
- 认知神经科学 认知神经科学
- 计算精神病学是一种计算精神病学.
- 行为科学 行为科学
背景情况:
- 心理健康状况往往涉及复杂的推断和决策困难,特别是在社会环境中.
- 这些挑战可能源于基本计算过程的中断,例如灵活的以目标为导向的决策.
- 了解这些计算基础对于解释现实世界的行为症状至关重要.
研究的目的:
- 在复杂的互动场景中调查心理健康症状与目标导向决策之间的关系.
- 评估特定的症状维度 (不注意,外部化) 与预测准确性和推断错误的关系.
- 通过使用计算建模,探索目标导向决策在这些症状-行为关联中的调解作用.
主要方法:
- 利用一个验证的,自然主义的威胁推断任务与1025名参与者.
- 对心理健康症状和神经发育特征进行了一系列自我报告措施.
- 采用计算建模来分析决策策略及其与症状维度的联系.
主要成果:
- 具有较高注意力不集中/神经发育症状的个体表现出更好的威胁行为预测能力.
- 具有较高外化症状的参与者在任务中更频繁地做出不正确的推断.
- 计算建模证实,目标导向决策的程度调解了特定症状与推断准确性之间的关联.
结论:
- 具体的症状尺寸,而不是一般因素,更好地解释复杂的决策任务中的行为变化.
- 目标导向决策机制利用的变化似乎是可观察到的症状和特征的基础.
- 研究结果表明,心理健康症状在现实世界的互动环境中如何表现的计算基础.
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