Automated analysis of written narratives reveals abnormalities in referential cohesion in youth at ultra high risk for psychosis.

Automated analysis of written narratives reveals abnormalities in referential cohesion in youth at ultra high risk for psychosis.
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DOI:
10.1016/j.schres.2017.04.025
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发表时间:
2018-03
影响因子:
4.5
通讯作者:
Mittal VA
Mittal VA
中科院分区:
医学2区
文献类型:
--
作者:
Gupta T;Hespos SJ;Horton WS;Mittal VA

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建议精神分裂症和高危人群在语言产生中表现出指称衔接缺陷(例如,产生较少的与先前句子中的概念明确相关的代词或名词)。这项工作的大部分内容都集中在转录的语音样本上,但据我们所知,还没有任何工作使用自动分析工具 Coh-Metrix 检查超高风险 (UHR) 青少年书面叙述中的指称衔接。在本研究中,对 84 名个体(UHR = 41,对照 = 43)的书面叙述进行了检查。还研究了参考凝聚力变量以及与症状和相关认知变量的关系。研究结果显示,与对照组相比,UHR 青少年的叙述中单词“词干”重叠较少,并且与症状领域和言语学习之间存在相关性。本研究强调了对书面叙述进行自动分析在识别高危青少年方面的潜在用途,这些数据为更好地理解精神病的病因提供了关键信息。由于写作创作通常是在教育环境中引发的,因此写作中异常衔接的标记代表着识别可以从进一步筛选中受益的年轻人的巨大潜力,并且利用易于访问且免费的软件可以在学术和临床环境中提供实用性。
Schizophrenia and at-risk populations are suggested to exhibit referential cohesion deficits in language production (e.g., producing fewer pronouns or nouns that clearly link to concepts from previous sentences). Much of this work has focused on transcribed speech samples, while no work to our knowledge has examined referential cohesion in written narratives among ultra high risk (UHR) youth using Coh-Metrix, an automated analysis tool. In the present study, written narratives from 84 individuals (UHR = 41, control = 43) were examined. Referential cohesion variables and relationships with symptoms and relevant cognitive variables were also investigated. Findings reveal less word “stem” overlap in narratives produced by UHR youth compared to controls, and correlations with symptom domains and verbal learning. The present study highlights the potential usefulness of automated analysis of written narratives in identifying at-risk youth and these data provide critical information in better understanding the etiology of psychosis. As writing production is commonly elicited in educational contexts, markers of aberrant cohesion in writing represent significant potential for identifying youth who could benefit from further screening, and utilizing software that is easily accessible and free may provide utility in academic and clinical settings.
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