Perceptual Decision Impairments Linked to Obsessive-Compulsive Symptoms are Substantially Driven by State-Based Effects.

Computational psychiatry (Cambridge, Mass.) Pub Date : 2022-05-12 eCollection Date: 2022-01-01 DOI:10.5334/cpsy.87
Claire M Kaplan, Alec Solway
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Abstract

Computational models of decision making have identified a relationship between obsessive-compulsive symptoms (OCS), both in the general population and in patients, and impairments in perceptual evidence accumulation. Some studies have interpreted these deficits to reflect global disease traits which give rise to clusters of OCS. Such assumptions are not uncommon, even if implicit, in computational psychiatry more broadly. However, it is well established that state- and trait-symptom scores are often correlated (e.g., state and trait anxiety), and the extent to which perceptual deficits are actually explained by state-based symptoms is unclear. State-based symptoms may give rise to information processing differences in a number of ways, including the mechanistically less interesting possibility of tying up working memory and attentional resources for off-task processing. In a general population sample (N = 150), we investigated the extent to which previously identified impairments in perceptual evidence accumulation were related to trait vs stated-based OCS. In addition, we tested whether differences in working memory capacity moderated state-based impairments, such that impairments were worse in individuals with lower working memory capacity. We replicated previous work demonstrating a negative relationship between the rate of evidence accumulation and trait-based OCS when state-based symptoms were unaccounted for. When state-based effects were included in the model, they captured a significant degree of impairment while trait-based effects were attenuated, although they did not disappear completely. We did not find evidence that working memory capacity moderated the state-based effects. Our work suggests that investigating the relationship between information processing and state-based symptoms may be important more generally in computational psychiatry beyond this specific context.

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与强迫症状相关的感知决策障碍在很大程度上是由基于状态的影响驱动的
决策的计算模型已经确定了在一般人群和患者中强迫症症状(OCS)与知觉证据积累障碍之间的关系。一些研究将这些缺陷解释为反映导致OCS聚集的全球疾病特征。这样的假设在更广泛的计算精神病学中并不罕见,即使是隐含的。然而,已经确定的是,状态和特质症状得分通常是相关的(例如,状态和特质焦虑),并且感知缺陷在多大程度上实际上是由基于状态的症状解释的尚不清楚。基于状态的症状可能会以多种方式引起信息处理的差异,包括将工作记忆和注意力资源用于任务外处理的机制上不那么有趣的可能性。在一般人群样本(N = 150)中,我们调查了之前发现的知觉证据积累障碍与特质性和陈述性OCS的关系程度。此外,我们还测试了工作记忆容量的差异是否会缓和基于状态的损伤,即工作记忆容量较低的个体的损伤更严重。我们重复了以前的工作,证明当基于状态的症状未被解释时,证据积累率与基于特征的OCS之间存在负相关关系。当基于状态的影响包括在模型中时,它们捕获了显著程度的损害,而基于特征的影响减弱,尽管它们没有完全消失。我们没有发现工作记忆容量调节状态效应的证据。我们的工作表明,在计算精神病学中,调查信息处理和基于状态的症状之间的关系可能比这一特定背景更重要。
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来源期刊
CiteScore
4.30
自引率
0.00%
发文量
0
审稿时长
17 weeks
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