我们试图在精神病学访谈期间从言语分析中得出精神运动减慢的客观量度,以避免专用神经生理测试的潜在负担。语音延迟,这反映了说话者之间的响应时间,显示了文学的希望。语音数据来自274名被诊断为双相I型抑郁症的受试者,双盲,为期6周的2期临床试验。检查了6个时间点的结构化蒙哥马利-奥斯贝格抑郁量表(MADRS)访谈的录音(k=1,352)。我们评估了语音延迟,和其他方面的演讲,为了时间稳定性,收敛有效性,对临床变化的敏感性/响应性,以及在七个社会语言不同国家的概括。语音延迟与人口统计特征的关联最小,并解释了近三分之一的抑郁症差异(明确定义)。随着抑郁症状的改善,言语潜伏期显着减少,解释了近20%的抑郁症缓解差异。在横截面和纵向上,区分并发抑郁症患者和无并发抑郁症患者的分类都很高(AUC>0.85)。结果在各国之间复制。其他语音功能提供了适度的增量贡献。可以从精神病学访谈中得出具有面部有效性的神经生理学语音参数,而无需增加患者额外测试的负担。
We sought to derive an objective measure of psychomotor slowing from
speech analytics during a psychiatric interview to avoid potential burden of dedicated neurophysiological testing.
Speech latency, which reflects response time between speakers, shows promise from the literature. Speech data was obtained from 274 subjects with a diagnosis of bipolar I depression enrolled in a randomized, doubleblind, 6-week phase 2 clinical trial. Audio recordings of structured Montgomery-Åsberg Depression Rating Scale (MADRS) interviews at 6 time points were examined (k = 1,352). We evaluated
speech latencies, and other aspects of
speech, for temporal stability, convergent validity, sensitivity/responsivity to clinical change, and generalization across seven socio-linguistically diverse countries.
Speech latency was minimally associated with demographic features, and explained nearly a third of the variance in depression (categorically defined). Speech latency significantly decreased as depression symptoms improved over time, explaining nearly 20 % of variance in depression remission. Classification for differentiating people with versus without concurrent depression was high (AUCs > 0.85) both cross-sectionally and longitudinally. Results replicated across countries. Other
speech features offered modest incremental contribution. Neurophysiological speech parameters with face validity can be derived from psychiatric interviews without the added patient burden of additional testing.