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  • 标题:Brain Structures and Cognitive Abilities Important for the Self-Monitoring of Speech Errors
  • 本地全文:下载
  • 作者:Ayan Sankar Mandal ; Mackenzie E. Fama ; Laura M. Skipper-Kallal
  • 期刊名称:Neurobiology of Language
  • 电子版ISSN:2641-4368
  • 出版年度:2020
  • 卷号:1
  • 期号:3
  • 页码:0-0
  • DOI:10.1162/nol_a_00015
  • 语种:English
  • 出版社:The MIT Press
  • 摘要:AbstractThe 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 that 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 the DLPFC for self-monitoring of speech.
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