Common and distinct patterns underlying different linguistic tasks: multivariate disconnectome symptom mapping in poststroke patients

断开 理解力 心理学 颞中回 演讲制作 颞叶 多元统计 认知心理学 认知 顶叶 颞上回 额内侧回 神经科学 功能磁共振成像 计算机科学 语音识别 机器学习 政治学 法学 癫痫 程序设计语言
作者
Yaya Jiang,Gaolang Gong
出处
期刊:Cerebral Cortex [Oxford University Press]
标识
DOI:10.1093/cercor/bhae008
摘要

Abstract Numerous studies have been devoted to neural mechanisms of a variety of linguistic tasks (e.g. speech comprehension and production). To date, however, whether and how the neural patterns underlying different linguistic tasks are similar or differ remains elusive. In this study, we compared the neural patterns underlying 3 linguistic tasks mainly concerning speech comprehension and production. To address this, multivariate regression approaches with lesion/disconnection symptom mapping were applied to data from 216 stroke patients with damage to the left hemisphere. The results showed that lesion/disconnection patterns could predict both poststroke scores of speech comprehension and production tasks; these patterns exhibited shared regions on the temporal pole of the left hemisphere as well as unique regions contributing to the prediction for each domain. Lower scores in speech comprehension tasks were associated with lesions/abnormalities in the superior temporal gyrus and middle temporal gyrus, while lower scores in speech production tasks were associated with lesions/abnormalities in the left inferior parietal lobe and frontal lobe. These results suggested an important role of the ventral and dorsal stream pathways in speech comprehension and production (i.e. supporting the dual stream model) and highlighted the applicability of the novel multivariate disconnectome-based symptom mapping in cognitive neuroscience research.

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