University of South Carolina, Department of Communication Sciences and Disorders, United States; Indiana University, Department of Speech and Hearing Sciences, United States; Indiana University, Program in Neuroscience, United States.
University of South Carolina, Department of Communication Sciences and Disorders, United States.
Cortex. 2019 Aug;117:228-246. doi: 10.1016/j.cortex.2019.02.029. Epub 2019 Mar 7.
While numerous studies have explored single-word naming, few have evaluated the behavioral and neural correlates of more naturalistic language, like connected speech, which we produce every day. Here, in a retrospective analysis of 120 participants at least six months following left hemisphere stroke, we evaluated the distribution of word errors (paraphasias) and associated brain damage during connected speech (picture description) and object naming. While paraphasias in connected speech and naming shared underlying neural substrates, analysis of the distribution of paraphasias suggested that lexical-semantic load is likely reduced during connected speech. Using voxelwise lesion-symptom mapping (VLSM), we demonstrated that verbal (real word: semantically related and unrelated) and sound (phonemic and neologistic) paraphasias during both connected speech and naming loaded onto the left hemisphere ventral and dorsal streams of language, respectively. Furthermore, for the first time using both connected speech and naming data, we localized semantically related paraphasias to more anterior left hemisphere temporal cortex and unrelated paraphasias to more posterior left temporal and temporoparietal cortex. The connected speech results, in particular, highlight a gradient of specificity as one translates visual recognition from left temporo-occipital cortex to posterior and subsequently anterior temporal cortex. The robustness of VLSM results for sound paraphasias derived during connected speech was notable, in that analyses performed on sound paraphasias from the connected speech task, and not the naming task, demonstrated significant results following removal of lesion volume variance and related apraxia of speech variance. Therefore, connected speech may be a particularly sensitive task on which to evaluate further lexical-phonological processing in the brain. The results presented here demonstrate the related, though different, distribution of paraphasias during connected speech, confirm that paraphasias arising in connected speech and single-word naming likely share neural origins, and endorse the need for continued evaluation of the neural substrates of connected speech processes.
虽然有许多研究探讨了单字命名,但很少有研究评估更自然的语言,如我们每天使用的连句,其行为和神经相关性。在这里,我们对 120 名左半球中风至少六个月后的参与者进行了回顾性分析,评估了在连句(图片描述)和物体命名过程中单词错误(类语)的分布和相关的大脑损伤。虽然连句和命名中的类语共享潜在的神经基础,但类语分布的分析表明,在连句中词汇语义负载可能会降低。通过体素水平病变症状映射(VLSM),我们证明了在连句和命名过程中出现的言语(真实词:语义相关和不相关)和声音(音位和新语)类语分别加载到左半球语言的腹侧和背侧流。此外,这是首次使用连句和命名数据,我们将语义相关的类语定位于更靠前的左半球颞叶前部,将不相关的类语定位于更靠后的左颞叶和颞顶叶。特别是连句的结果突出了一个特异性梯度,因为人们将视觉识别从左颞枕叶转换为后部和随后的前颞叶。在连句中产生的声音类语的 VLSM 结果的稳健性值得注意,因为对源自连句任务而非命名任务的声音类语的分析,在去除病变体积方差和相关言语运动障碍方差后,显示出显著的结果。因此,连句可能是评估大脑中词汇语音处理的一项特别敏感的任务。这里呈现的结果证明了在连句中类语的相关但不同的分布,确认了在连句和单字命名中产生的类语可能具有共同的神经起源,并支持对连句过程的神经基础进行持续评估的必要性。