自闭症谱系障碍中的预测处理:非典型的代先前更新帐户
Zhuanghua Shi1, Fredrik Allenmark1, Laura A Theisinger2
1Department of Psychology, LMU Munich, Munich, Germany.
Biological psychiatry global open science
|April 15, 2025
概括
患有自闭症谱系障碍 (ASD) 的人表现出不同的预测处理动态,更多地依赖感官输入来更新信仰. 这导致先前知识的初始低权重,但随着时间的推移而适应,澄清与典型发展 (TD) 个体的差异.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 发展心理学 发展心理学
背景情况:
- 自闭症谱系障碍 (ASD) 与典型发展 (TD) 个体的预测处理差异的有争议性.
- 一些研究表明ASD的预测处理受损,而另一些研究表明非典型的学习动态.
研究的目的:
- 在ASD和TD个体中调查先前信念和感官估计的更新动态.
- 通过使用持续时间复制任务,研究波动如何影响预测处理.
- 分析基于贝叶斯模型的先前信念和感知估计的更新.
主要方法:
- 在高和低波动条件下的持续时间复制任务.
- 两个状态的贝叶斯模型来分析信念和估计更新.
- 比较ASD (n=32) 和TD (n=32) 参与者的行为数据.
主要成果:
- 患有自闭症的个体在感知估计中类似地整合了先前的知识.
- 自闭症参与者更多地依赖感官输入来更新先前的信念,感知相互联系程度较低.
- ASD最初表现出先验的低权重,随着时间的推移,它适应了类似于TD的整合权重.
结论:
- 预测处理在ASD的特点是独特的更新动态,没有损害之前的利用.
- 在先前更新过程中对感官输入的更大依赖影响了ASD的适应速度和试验间动态.
- 结果澄清了文献不一致性,并突出了ASD与TD预测处理中的交互更新.
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