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叙事中自闭症谱系障碍的语言标记:一项综合分析。

Linguistic markers of autism spectrum conditions in narratives: A comprehensive analysis.

作者信息

Schroeder Kristen, Rosselló Joana, Torrades Teresa Ribalta, Hinzen Wolfram

机构信息

Department of Philosophy, Classics, History of Art and Ideas (IFIKK), University of Oslo, Oslo, Norway.

Department of Translation and Language Sciences, Universitat Pompeu Fabra, Barcelona, Catalunya, Spain.

出版信息

Autism Dev Lang Impair. 2023 Apr 18;8:23969415231168557. doi: 10.1177/23969415231168557. eCollection 2023 Jan-Dec.

Abstract

Narratives are regularly elicited as part of standardized assessments for autism spectrum conditions (ASC) such as the ADOS, but have rarely been utilized as linguistic data in their own right. We here aimed for a specific and comprehensive quantitative linguistic profile of such narratives across nominal, verbal, and clausal domains of grammatical organization, and error patterns. We manually transcribed and annotated narratives elicited from the ADOS from a sample of bilingual autistic Spanish-Catalan children ( = 18), matched with typically developing controls (n = 18) on vocabulary-based verbal IQ. Results revealed fewer relative clauses and more frequent errors in referential specificity and non-relational content-word choice in ASC. Frequent error types are also discussed qualitatively. These findings, based on more finegrained linguistically defined variables, help to disentangle previous inconsistencies in the literature, and to better situate language changes in the spectrum of neurocognitive changes in this population.

摘要

在诸如自闭症诊断观察量表(ADOS)等针对自闭症谱系障碍(ASC)的标准化评估中,经常会引出叙述内容,但这些叙述内容本身很少被用作语言数据。我们在此旨在针对此类叙述在语法组织的名词、动词和从句领域以及错误模式方面,构建一个具体且全面的定量语言概况。我们手动转录并注释了从ADOS中引出的叙述内容,这些内容来自一组西班牙 - 加泰罗尼亚语双语自闭症儿童样本(n = 18),并在基于词汇的语言智商方面与发育正常的对照组(n = 18)进行了匹配。结果显示,自闭症谱系障碍儿童的关系从句较少,在指称特异性和非关系性实词选择方面的错误更为频繁。我们还对常见的错误类型进行了定性讨论。这些基于更精细语言定义变量的研究结果,有助于厘清以往文献中的不一致之处,并更好地将语言变化置于该人群神经认知变化的范围内。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a29b/10123896/fab1fd21e97d/10.1177_23969415231168557-fig1.jpg

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