Humpston Clara S, Evans Lisa H, Teufel Christoph, Ihssen Niklas, Linden David E J
a CUBRIC, School of Psychology , Cardiff University , Cardiff , UK.
b Department of Psychology , Durham University , Durham , UK.
Cogn Neuropsychiatry. 2017 Sep;22(5):373-390. doi: 10.1080/13546805.2017.1348289. Epub 2017 Jul 11.
The predictive processing framework has attracted much interest in the field of schizophrenia research in recent years, with an increasing number of studies also carried out in healthy individuals with nonclinical psychosis-like experiences. The current research adopted a continuum approach to psychosis and aimed to investigate different types of prediction error responses in relation to psychometrically defined schizotypy.
One hundred and two healthy volunteers underwent a battery of behavioural tasks including (a) a force-matching task, (b) a Kamin blocking task, and (c) a reversal learning task together with three questionnaires measuring domains of schizotypy from different approaches.
Neither frequentist nor Bayesian statistical methods supported the notion that alterations in prediction error responses were related to schizotypal traits in any of the three tasks.
These null results suggest that deficits in predictive processing associated with clinical states of psychosis are not always present in healthy individuals with schizotypal traits.
近年来,预测处理框架在精神分裂症研究领域引起了广泛关注,越来越多的研究也在有非临床精神病样体验的健康个体中展开。当前的研究采用了精神病的连续体方法,旨在研究与心理测量学定义的精神分裂症相关的不同类型的预测误差反应。
102名健康志愿者接受了一系列行为任务,包括(a)力匹配任务,(b)卡明阻断任务,以及(c)反转学习任务,同时还进行了三份从不同角度测量精神分裂症领域的问卷。
频率主义和贝叶斯统计方法均不支持预测误差反应的改变与三项任务中任何一项的精神分裂症特征相关的观点。
这些阴性结果表明,与精神病临床状态相关的预测处理缺陷并不总是存在于具有精神分裂症特征的健康个体中。