Department of Psychology.
Personal Disord. 2021 Nov;12(6):581-593. doi: 10.1037/per0000473. Epub 2020 Dec 10.
Psychopathy and externalizing are distinct forms of disinhibitory psychopathology whose destructive social behaviors are thought to be underpinned by different aberrations in social cognition. Facial emotion processing is a foundational component of social cognition, yet previous studies on facial emotion processing in psychopathy and externalizing have focused on traditional behavioral measures (e.g., response accuracy), which have limited reliability and precision. Diffusion modeling is a valuable tool for elucidating more reliable and precise sources of performance differences because it estimates parameters that reflect latent cognitive processes, including bias, drift rate (efficiency of evidence accumulation), threshold separation (extent of evidence accumulation), and nondecision time (time spent on non-decision-related processes such as stimulus encoding and motor response execution). In a sample of 92 incarcerated males, we applied diffusion modeling to an emotion identification task in which ambiguous blends of anger, happiness, and fear were identified while contextual threat (i.e., apparent movement of faces) was manipulated. Results indicated that psychopathy was associated with longer nondecision time (i.e., slower processing) across all the emotion blends in the task and particularly for mostly angry faces under greater ambiguity. In direct contrast, externalizing was associated with shorter nondecision time (i.e., faster processing) as well as greater threshold separation (i.e., more extensive evidence accumulation) for mostly angry faces under greater ambiguity, but this pattern of preferential processing of anger was only evident in the absence of contextual threat. These findings link psychopathy and externalizing to different profiles of cognitive processes influencing facial emotion processing. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
精神病态和外化是两种不同形式的抑制障碍性精神病理学,其破坏性行为被认为是由社会认知中不同的异常所支撑的。面部情绪处理是社会认知的一个基础组成部分,然而,精神病态和外化患者的面部情绪处理的先前研究集中在传统的行为测量上(例如,反应准确性),这些测量的可靠性和精确性有限。扩散建模是一种阐明更可靠和精确的性能差异来源的有价值的工具,因为它估计了反映潜在认知过程的参数,包括偏差、漂移率(证据积累效率)、阈值分离(证据积累程度)和非决策时间(花费在与非决策相关的过程上的时间,例如刺激编码和运动反应执行)。在一个由 92 名被监禁男性组成的样本中,我们将扩散建模应用于一项情绪识别任务,在该任务中,识别愤怒、快乐和恐惧的混合模糊表情,同时操纵上下文威胁(即面部的明显运动)。结果表明,精神病态与所有情绪混合的任务中的非决策时间较长(即处理较慢)有关,特别是在更大的模糊度下,主要是愤怒的面孔。相比之下,外化与非决策时间较短(即处理速度较快)以及更大的阈值分离(即更广泛的证据积累)有关,特别是在更大的模糊度下,主要是愤怒的面孔,但这种对愤怒的偏好处理模式仅在没有上下文威胁的情况下才明显。这些发现将精神病态和外化与影响面部情绪处理的不同认知过程特征联系起来。(PsycInfo 数据库记录(c)2021 APA,保留所有权利)。