NEURAL SYSTEMS UNDERLYING RETRIEVAL OF WORDS FOR CONCRETE ENTITIES IN ENGLISH

对脑损伤神经系统患者的研究表明， 检索表示具体实体的单词的正常过程取决于 部分位于左大脑半球的多个区域， 在经典语言区域之外，在高级联合皮层中。 的 研究结果还表明，在大规模系统的水平上， 似乎是一个有趣的和原则性的关系之间的 解剖区域和被命名的物品的种类。 这些发现开启了 进一步研究词汇的性质及其 神经基础，这就是这个项目的目的，专注于 与具体实体有关的词汇检索问题。 我们将测试 一系列[150]H2O PET实验中的三个主要假设 在60名正常的母语为英语的成年人中进行。 我们将开始 测试的想法，检索词表示具体的实体， 与不同的概念范畴有关的， 可分离的区域。 然后，我们将测试这样的区域是 与感觉模式无关（例如，视觉[图片]与 听觉[相关的声音]）的具体实体的呈现， 透露姓名 最后，我们将测试相同区域操作的想法， 不仅用于检索给定概念的单词， 检索的概念，给定的话。 除了有助于A 更好地理解语言处理的神经基础， 这些发现也可能有助于理解神经系统的功能。 在大规模系统层面上， 将直接应用于诊断和管理 交流和记忆障碍

Studies in neurological patients with brain lesions suggest that the normal process of retrieving words which denote concrete entities depends in part on multiple regions of the left cerebral hemisphere, located outside classic language areas, in higher-order association cortices. The findings also indicate that, at the level of large-scale systems, there appears to be an intriguing and principled relationship between the anatomical region and the kind of item being named. These findings open the possibility of investigating further the nature of the lexicon and its neural underpinnings, and that is the aim of this project, focused on the issue of lexical retrieval pertaining to concrete entities. We will test three principal hypotheses in a series of [150]H2O PET experiments conducted in 60 normal native English speaking adults. We will begin by testing the idea that the retrieval of words denoting concrete entities pertaining to diverse conceptual categories depends on anatomically separable regions. We will then test the idea that such regions are the same regardless of the sensory mode (e.g., visual [pictures] versus auditory [associated sounds]) of presentation of the concrete entities to be named. Finally, we will test the idea that the same regions operate not only for, retrieval of words, given the concepts, but also for the retrieval of concepts, given the words. In addition to contributing to a better understanding of the neural basis of language processing, the findings are also likely to contribute to the understanding of the neural architectures which subserve cognition, at large-scale systems level, and will have a direct application in the diagnosis and management of disorders of communication and memory.