Department of Neurology, College of Medicine, Medical University of South Carolina, Charleston, SC 29425, United States of America.
Department of Communication Sciences and Disorders, University of South Carolina, Columbia, SC 29208, United States of America.
Neuroimage Clin. 2019;24:101961. doi: 10.1016/j.nicl.2019.101961. Epub 2019 Jul 27.
Deficits in lexical retrieval are commonly observed in individuals with post-stroke aphasia. Successful lexical retrieval is related to lexical diversity, lexical sophistication, and phonological word properties; however, the crucial brain regions supporting these different features are not fully understood. We performed MRI-based lesion symptom mapping in 58 individuals with a chronic left hemisphere stroke to assess how regional damage relates to spoken discourse-extracted measures of lexical diversity, lexical sophistication, and phonological word properties. For discourse transcription and word feature analysis, we used the Computerized Language Analysis (CLAN) program, Stanford Core Natural Language Processing, Irvine Phonotactic Online Dictionary, Lexical Complexity Analyzer, and Gramulator. Lesions involving the left posterior insula and supramarginal gyri and inferior fronto-occipital fasciculus were significant predictors of utterances with, on average, lower lexical diversity. Low lexical sophistication was associated with damage to the left pole of the superior temporal gyrus. Production of words with lower phonological complexity (fewer phonemes, higher phonological similarity) was associated with damage to the left supramarginal gyrus. Our findings indicate that discourse-extracted features of lexical retrieval depend on the integrity of specific brain regions involving insular and peri-Sylvian areas. The identified regions provide insight into potentially underlying mechanisms of lexically diverse, sophisticated and phonologically complex words produced during discourse.
词汇检索缺陷在脑卒中后失语症患者中较为常见。成功的词汇检索与词汇多样性、词汇复杂度和语音词属性有关;然而,支持这些不同特征的关键大脑区域尚未完全理解。我们对 58 名患有慢性左侧半球中风的患者进行了基于 MRI 的病变症状映射,以评估区域损伤与口语话语中提取的词汇多样性、词汇复杂度和语音词属性的测量值之间的关系。对于话语转录和词特征分析,我们使用了计算机语言分析 (CLAN) 程序、斯坦福核心自然语言处理、欧文音韵词典在线、词汇复杂度分析器和 Gramulator。涉及左侧后岛叶和缘上回以及下额枕束的损伤是言语词汇多样性降低的显著预测因子。词汇复杂度低与左侧颞上回极损伤有关。生成语音复杂性较低的单词(较少的音素、较高的语音相似性)与左侧缘上回损伤有关。我们的研究结果表明,词汇检索的话语提取特征取决于涉及岛叶和周围西尔维亚地区的特定脑区的完整性。确定的区域为话语中产生的词汇多样、复杂和语音复杂的单词提供了潜在的潜在机制的见解。