Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence RI 02912-1821, USA.
Department of Neuroscience, Brown University, Providence RI 02912-1821, USA.
Brain. 2021 Apr 12;144(3):1013-1029. doi: 10.1093/brain/awaa453.
Schizophrenia is characterized by abnormal perceptions and beliefs, but the computational mechanisms through which these abnormalities emerge remain unclear. One prominent hypothesis asserts that such abnormalities result from overly precise representations of prior knowledge, which in turn lead beliefs to become insensitive to feedback. In contrast, another prominent hypothesis asserts that such abnormalities result from a tendency to interpret prediction errors as indicating meaningful change, leading to the assignment of aberrant salience to noisy or misleading information. Here we examine behaviour of patients and control subjects in a behavioural paradigm capable of adjudicating between these competing hypotheses and characterizing belief updates directly on individual trials. We show that patients are more prone to completely ignoring new information and perseverating on previous responses, but when they do update, tend to do so completely. This updating strategy limits the integration of information over time, reducing both the flexibility and precision of beliefs and provides a potential explanation for how patients could simultaneously show over-sensitivity and under-sensitivity to feedback in different paradigms.
精神分裂症的特征是异常的感知和信念,但这些异常出现的计算机制仍不清楚。一个主要的假设认为,这些异常是由于对先前知识的过于精确的表示,这反过来又导致信念对反馈变得不敏感。相比之下,另一个主要的假设认为,这些异常是由于将预测误差解释为表示有意义的变化的倾向,导致将异常的显著性分配给嘈杂或误导性信息。在这里,我们在一个行为范式中检查了患者和对照组的行为,该范式能够在这些相互竞争的假设之间进行裁决,并直接在单个试验上对信念更新进行特征化。我们表明,患者更容易完全忽略新信息,并坚持以前的反应,但当他们确实更新时,往往会完全更新。这种更新策略限制了信息随时间的整合,降低了信念的灵活性和精度,并为患者如何能够在不同的范式中同时对反馈表现出过度敏感和低度敏感提供了一种潜在的解释。