Brain structures and cognitive abilities important for the self-monitoring of speech errors.

IF 3.6 Q1 LINGUISTICS
Neurobiology of Language Pub Date : 2020-01-01 Epub Date: 2020-09-01 DOI:10.1162/nol_a_00015
Ayan S Mandal, Mackenzie E Fama, Laura M Skipper-Kallal, Andrew T DeMarco, Elizabeth H Lacey, Peter E Turkeltaub
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引用次数: 10

Abstract

The brain structures and cognitive abilities necessary for successful monitoring of one's own speech errors remain unknown. We aimed to inform self-monitoring models by examining the neural and behavioral correlates of phonological and semantic error detection in individuals with post-stroke aphasia. First, we determined whether detection related to other abilities proposed to contribute to monitoring according to various theories, including naming ability, fluency, word-level auditory comprehension, sentence-level auditory comprehension, and executive function. Regression analyses revealed that fluency and executive scores were independent predictors of phonological error detection, while a measure of word-level comprehension related to semantic error detection. Next, we used multivariate lesion-symptom mapping to determine lesion locations associated with reduced error detection. Reduced overall error detection related to damage to a region of frontal white matter extending into dorsolateral prefrontal cortex (DLPFC). Detection of phonological errors related to damage to the same areas, but the lesion-behavior association was stronger, suggesting the localization for overall error detection was driven primarily by phonological error detection. These findings demonstrate that monitoring of different error types relies on distinct cognitive functions, and provide causal evidence for the importance of frontal white matter tracts and DLPFC for self-monitoring of speech.

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Abstract Image

Abstract Image

大脑结构和认知能力对言语错误的自我监控很重要。
成功监测自己语言错误所必需的大脑结构和认知能力仍然未知。我们旨在通过检查脑卒中后失语症患者语音和语义错误检测的神经和行为相关性,为自我监测模型提供信息。首先,我们根据各种理论确定检测是否与其他能力相关,包括命名能力、流利性、单词级听觉理解、句子级听觉理解和执行功能。回归分析显示,流利度和执行分数是语音错误检测的独立预测因子,而单词水平理解的测量与语义错误检测相关。接下来,我们使用多变量病变症状映射来确定与减少错误检测相关的病变位置。减少总体错误检测与延伸到背外侧前额叶皮质(DLPFC)的额叶白质区域损伤有关。语音错误的检测与相同区域的损伤相关,但损伤与行为的关联更强,表明整体错误检测的定位主要是由语音错误检测驱动的。这些发现表明,不同类型错误的监测依赖于不同的认知功能,并为额叶白质束和DLPFC在言语自我监测中的重要性提供了因果证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neurobiology of Language
Neurobiology of Language Social Sciences-Linguistics and Language
CiteScore
5.90
自引率
6.20%
发文量
32
审稿时长
17 weeks
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