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The power of neural oscillations to inform sentence comprehension: A linguistic perspective
Language and Linguistics Compass ( IF 2.8 ) Pub Date : 2019-08-14 , DOI: 10.1111/lnc3.12347
Yanina Prystauka 1, 2 , Ashley Glen Lewis 3, 4
Affiliation  

The field of psycholinguistics is currently experiencing an explosion of interest in the analysis of neural oscillations - rhythmic brain activity synchronized at different temporal and spatial levels. Given that language comprehension relies on a myriad of processes, which are carried out in parallel in distributed brain networks, there is hope that this methodology might bring the field closer to understanding some of the more basic (spatially and temporally distributed, yet at the same time often overlapping) neural computations that support language function. In this review we discuss existing proposals linking oscillatory dynamics in different frequency bands to basic neural computations, and review relevant theories suggesting associations between band-specific oscillations and higher-level cognitive processes. More or less consistent patterns of oscillatory activity related to certain types of linguistic processing can already be derived from the evidence that has accumulated over the past few decades. The centerpiece of the current review is a synthesis of such patterns grouped by linguistic phenomenon. We restrict our review to evidence linking measures of oscillatory power to the comprehension of sentences, as well as linguistically (and/or pragmatically) more complex structures. For each grouping, we provide a brief summary and a table of associated oscillatory signatures that a psycholinguist might expect to find when employing a particular linguistic task. Summarizing across different paradigms, we conclude that a handful of basic neural oscillatory mechanisms are likely recruited in different ways and at different times for carrying out a variety of linguistic computations.

中文翻译:

从语言学角度看神经振荡对句子理解的影响

在语言振动的分析中,心理语言学领域目前正在引起人们的关注,神经振动是指在不同时空水平上同步的节律性大脑活动。鉴于语言理解依赖于在分布式脑网络中并行执行的无数过程,因此希望这种方法可以使该领域更接近于理解一些更基本的(时空分布,但同时时间经常重叠)支持语言功能的神经计算。在这篇综述中,我们讨论了将不同频带中的振荡动力学与基本神经计算联系起来的现有建议,并回顾了相关理论,提出了特定频带振荡与更高级别的认知过程之间的关联。过去几十年来积累的证据已经可以得出与某些类型的语言处理有关的或多或少一致的振荡活动模式。当前评论的核心是按语言现象分组的这种模式的综合。我们的审查仅限于将振荡能力的度量与句子理解以及语言(和/或语用)更复杂的结构相关联的证据。对于每个分组,我们提供一个简短的摘要以及一个心理语言学家在采用特定的语言任务时可能期望找到的相关振荡特征的表格。总结不同的范式,
更新日期:2019-08-14
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