Computerized facial analysis for understanding constricted/blunted affect: Initial feasibility, reliability, and validity data
Computerized facial analysis for understanding constricted/blunted affect: Initial feasibility, reliability, and validity data
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DOI：
10.1016/j.schres.2013.05.003
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发表时间：
2013-08-01
影响因子：
4.5
通讯作者：
Callaway, Dallas A.
中科院分区：
文献类型：
--
作者：
Cohen, Alex S.;Morrison, Sean C.;Callaway, Dallas A.
表达减少是一系列精神分裂症谱系障碍/病症的诊断特征，并且通常对治疗无反应，存在于病前、首次发作和各种临床状态中，并且被认为是不良预后指标。令人惊讶的是，人们对表情减少知之甚少。本研究试图解决这个问题，通过评估一个商业化的计算机面部分析软件，了解减少表达。我们分析了自然的面部表情，从一系列的实验室互动任务，在28个人与心理测量学的人格类型-定义为人格组织反映了一个假定的遗传精神分裂症的倾向，和26个匹配的控制。我们评估了（a）可行性-根据软件识别的视频帧数量定义，（B）可靠性-根据三个实验室交互中面部表情变量之间的相关性定义，以及（c）结构效度-根据与临床变量的关系定义。对于大多数受试者（类似于80%），大约四分之三的视频帧可由软件分析;然而，少数视频基本上不可读。面部表情变量表现出良好的可靠性在整个互动条件。在结构效度方面，面部表情变量显着相关的精神病，挖掘主观认知问题和“一流”的精神分裂症症状的措施，但一般没有不同的群体。面部表情变量通常与抑郁，焦虑，偏执或令人惊讶的自我报告的负面情绪没有显着相关。虽然计算机化的面部分析似乎是一种可靠的和有前途的方法，了解整个精神分裂症谱的表达能力下降，一些工作仍然存在。的影响进行了讨论。(C)2013年爱思唯尔B。V.保留所有权利。
Diminished expression is a diagnostic feature of a range of schizophrenia-spectrum disorders/conditions and is often unresponsive to treatment, is present across premorbid, first episode and various clinical states, and is considered a poor prognostic indicator. Surprisingly, little is known about diminished expression. The present study sought to address this issue by evaluating a commercially-available computerized facial analysis software for understanding diminished expressivity. We analyzed natural facial expression from a series of laboratory interaction tasks in 28 individuals with psychometric schizotypy - defined as the personality organization reflecting a putative genetic schizophrenia liability, and 26 matched controls. We evaluated (a) feasibility - defined in terms of the number of video frames recognized by the software, (b) reliability-defined in terms of correlations between facial expression variables across the three laboratory interactions, and (c) construct validity - defined in terms of relationships to clinical variables. For most subjects (similar to 80%), approximately three-quarters of the video frames were analyzable by the software; however, a minority of the videos were essentially unreadable. The facial expression variables showed excellent reliability across interaction conditions. In terms of construct validity, facial expression variables were significantly related to a measure of psychoticism, tapping subjective cognitive concerns and "first-rank" schizophrenia symptoms, but were generally not different between groups. Facial expression variables were generally not significantly related to measures of depression, anxiety, paranoia or, surprisingly, self-reported negative schizotypy. While computerized facial analysis appears to be a reliable and promising method of understanding diminished expressivity across the schizophrenia-spectrum, some work remains. Implications are discussed. (C) 2013 Elsevier B. V. All rights reserved.