情感状态在计算精神病学中的作用
David Benrimoh1,2, Ryan Smith3,4, Andreea O Diaconescu5,6,7
1Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
The international journal of neuropsychopharmacology
|July 2, 2025
概括
计算精神病学模型通过分析信息处理,将精神病症状与神经生物学联系起来. 受皮质噪声影响的情感变化可能通过自我强化过程驱动精神病的发展.
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.
- 心理学 心理学 心理学
背景情况:
- 将精神病症状与神经生物学联系起来是一项挑战.
- 计算精神病学在精神疾病中提供信息处理的正式模型.
- 影响在决策和状态推断中起着关键作用.
研究的目的:
- 审查对健康和疾病影响的计算建模方法.
- 探索情感在信息处理中的作用,探讨精神病症状背后的信息处理变化.
- 扩展一种包含情感失调的精神病计算模型.
主要方法:
- 对计算建模方法的审查:强化学习,主动推理,层次高斯波器和漂移-扩散模型.
- 对情感对决策和状态推断的双向影响的分析.
- 扩展现有的精神病模型,包括由皮质噪声驱动的情感变化.
主要成果:
- 影响调节决策并影响内部和外部状态的推断.
- 皮层噪声可能会导致感知到的环境不稳定性或感官噪声的增加.
- 这创造了一个自我强化过程,有助于精神病症状的发展.
结论:
- 计算模型为理解精神疾病中的影响提供了一个框架.
- 由神经生物学变化 (如皮质噪声) 驱动的情感失调与精神病有关.
- 扩展模型在计算,神经生物学和现象学层面上提供可测试的预测.
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