Vocal Expression in Schizophrenia: Less Than Meets the Ear
Vocal Expression in Schizophrenia: Less Than Meets the Ear
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DOI：
10.1037/abn0000136
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发表时间：
2016-02-01
影响因子：
4.6
通讯作者：
Horan, William P.
中科院分区：
文献类型：
--
作者：
Cohen, Alex S.;Mitchell, Kyle R.;Horan, William P.
非语言交流的异常是精神分裂症的一个特征。使用症状评定量表的研究结果表明，这些异常是严重的(即3-5个抑郁)，几乎发生在每一种声音表达渠道。计算机化的声学分析技术，用于克服实际和心理测量的限制，症状分级量表，发现了更多的良性和孤立的异常。为了更好地了解精神分裂症患者的发声障碍，并推动声学分析技术在临床和研究中的应用，我们检查了来自5个独立研究的存档语音样本，每个研究使用不同的说话任务(患者N=309，对照组N=117)。我们试图：(A)使用主成分分析(PCA)从一大组变量中识别独立的发声表达测量，(B)量化精神分裂症患者相对于这些变量的异常情况，(C)评估人口统计和背景因素(例如，研究地点、说话任务)的影响，以及(D)检查临床分级的精神症状和发声变量之间的关系。PCA确定了7个独立的声音表达标记物。这些发声变量中的大多数随着背景的变化而变化很大，其中许多与人口统计因素有关。在控制了背景和人口统计学因素后，患者和对照组之间的声音表达没有显著差异。在患者中，发声变量与一系列精神症状有关--尽管只有停顿时间与临床评定的阴性症状显著相关。讨论的中心是解释临床语音测量和计算机语音测量之间的明显不一致。
Abnormalities in nonverbal communication are a hallmark of schizophrenia. Results from studies using symptom rating scales suggest that these abnormalities are profound (i.e., 3-5 SDs) and occur across virtually every channel of vocal expression. Computerized acoustic analytic technologies, used to overcome practical and psychometric limitations with symptom rating scales, have found much more benign and isolated abnormalities. To better understand vocal deficits in schizophrenia and to advance acoustic analytic technologies for clinical and research applications, we examined archived speech samples from 5 separate studies, each using different speaking tasks (patient N = 309; control N = 117). We sought to: (a) use Principal Component Analysis (PCA) to identify independent vocal expression measures from a large set of variables, (b) quantify how patients with schizophrenia are abnormal with respect to these variables, (c) evaluate the impact of demographic and contextual factors (e.g., study site, speaking task), and (d) examine the relationship between clinically-rated psychiatric symptoms and vocal variables. PCA identified 7 independent markers of vocal expression. Most of these vocal variables varied considerably as a function of context and many were associated with demographic factors. After controlling for context and demographics, there were no meaningful differences in vocal expression between patients and controls. Within patients, vocal variables were associated with a range of psychiatric symptoms-though only pause length was significantly associated with clinically rated negative symptoms. The discussion centers on explaining the apparent discordance between clinical and computerized speech measures.