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对大量失语症患者样本中灰姑娘故事的主要概念、顺序和故事语法分析

Main Concept, Sequencing, and Story Grammar Analyses of Cinderella Narratives in a Large Sample of Persons with Aphasia.

作者信息

Richardson Jessica D, Dalton Sarah Grace, Greenslade Kathryn J, Jacks Adam, Haley Katarina L, Adams Janet

机构信息

Department of Speech and Hearing Sciences, University of New Mexico, Albuquerque, NM 87131, USA.

Department of Speech-Pathology and Audiology, Marquette University, Milwaukee, WI 53233, USA.

出版信息

Brain Sci. 2021 Jan 15;11(1):110. doi: 10.3390/brainsci11010110.

Abstract

Recently, a multilevel analytic approach called Main Concept, Sequencing, and Story Grammar (MSSG) was presented along with preliminary normative information. MSSG analyses leverage the strong psychometrics and rich procedural knowledge of both main concept analysis and story grammar component coding, complementing it with easy-to-obtain sequencing information for a rich understanding of discourse informativeness and macrostructure. This study is the next critical step for demonstrating the clinical usefulness of MSSG's six variables (main concept composite, sequencing, main concept+sequencing, essential story grammar components, total episodic components, and episodic complexity) for persons with aphasia (PWAs). We present descriptive statistical information for MSSG variables for a large sample of PWAs and compare their performance to a large sample of persons not brain injured (PNBIs). We observed significant differences between PWAs and PNBIs for all MSSG variables. These differences occurred at the omnibus group level and for each aphasia subtype, even for PWAs with very mild impairment that is not detected with standardized aphasia assessment. Differences between PWAs and PNBIs were also practically significant, with medium to large effect sizes observed for nearly all aphasia subtypes and MSSG variables. This work deepens our understanding of discourse informativeness and macrostructure in PWAs and further develops an efficient tool for research and clinical use. Future research should investigate ways to expand MSSG analyses and to improve sensitivity and specificity.

摘要

最近,一种名为主要概念、排序和故事语法(MSSG)的多层次分析方法以及初步的常模信息被提出。MSSG分析利用了主要概念分析和故事语法成分编码强大的心理测量学和丰富的程序知识,并辅以易于获取的排序信息,以深入理解话语信息性和宏观结构。本研究是证明MSSG的六个变量(主要概念综合、排序、主要概念+排序、基本故事语法成分、总情节成分和情节复杂性)对失语症患者(PWA)临床实用性的下一个关键步骤。我们提供了大量PWA样本的MSSG变量的描述性统计信息,并将他们的表现与大量非脑损伤者(PNBI)样本进行比较。我们观察到所有MSSG变量在PWA和PNBI之间存在显著差异。这些差异在总体组水平以及每种失语症亚型中都存在,即使是对于那些在标准化失语症评估中未被检测出的非常轻度损伤的PWA也是如此。PWA和PNBI之间的差异在实际应用中也很显著,几乎所有失语症亚型和MSSG变量都观察到了中等到大的效应量。这项工作加深了我们对PWA话语信息性和宏观结构的理解,并进一步开发了一种用于研究和临床应用的有效工具。未来的研究应该探索扩展MSSG分析以及提高敏感性和特异性的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/682d/7830981/54b192151362/brainsci-11-00110-g001.jpg

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