Spatiotemporal Neuroimaging of Situated Sentence Comprehension

情境句子理解的时空神经影像

• 批准号: 8076286
• 负责人: David Norman Caplan
• 金额: $ 32.77万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-06-01 至 2013-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8076286
• 关键词: Affect; Area; Brain; Cereals; Complex; Comprehension; Data; Diagnosis; Disease; Etiology; Frequencies; Functional Magnetic Resonance Imaging; Goals; Hippocampus (Brain); Judgment; Licensing; Linguistics; Location; Magnetoencephalography; Measures; Memory; Motor; Pattern; Process; Relative (related person); Research; Resolution; Semantic memory; Signal Transduction; Source; Structure; Structure of inferior temporal gyrus; Structure of middle temporal gyrus; Testing; Time; Time Study; Visual; base; heuristics; lexical; neuroimaging; operation; phrases; public health relevance; relating to nervous system; response; spatiotemporal; syntax

DESCRIPTION (provided by applicant): The goal of the proposed research is to characterize the location and functional interaction over time of areas of the brain involved in aspects of sentence comprehension. The research is undertaken within a framework that sees comprehension as having multiple information "sources," and as being "interactive" and "situated." This view of sentence comprehension maintains that the propositional meaning of a sentence is, in the final analysis, determined by its syntactic structure and lexical content, and, when comprehension is successful, this meaning is arrived at by a process that assigns syntactic structure (parsing) and combines it with lexical meanings to determine propositional meaning (syntactically-based interpretation, which we will refer to simply as "interpretation"). However, these integrated, central processes are not the only sources of propositional representations that are considered as candidates for the meaning of a sentence. Propositional meanings are also assigned by asyntactic processes such as heuristics that assign agent to a preverbal noun (comprehension has "multiple sources"). These multiple sources yield candidates for the meaning of a sentence on-line, which are eventually eliminated in favor of the syntactically licensed interpretation(s) of a sentence. In addition, parsing and interpretation are affected in an on-line fashion by a variety of types of information such as the frequency of lexical forms and their co-occurrence (comprehension is "interactive"), and by non- linguistic factors such as task conditions (comprehension is "situated"). The proposed research will identify areas of the brain that are involved in aspects of parsing and interpretive operations and their on-line interaction with non-linguistic processes. We will study the two major types of these interactions - those between parsing and interpretation and perceptual and motor processes and those between parsing and interpretation and semantic memory. We will use MR-constrained integrated magnetoencephalography (MEG) and electroelcephalography (EEG) to obtain measures of neural activity that have both fine-grained temporal and spatial resolution, and apply Granger causation analyses (Granger, 1969) to these data to identify patterns of directional causal influence between functionally interpretable ROIs during sentence processing. PUBLIC HEALTH RELEVANCE: The project will advance our understanding of the complex neural activities that occur during sentence comprehension. As such, the findings will provide a basis for better diagnosis of such disorders.

描述(由申请人提供)：拟议研究的目标是表征涉及句子理解方面的大脑区域的位置和功能随时间的相互作用。这项研究是在一个框架内进行的，该框架认为理解具有多个信息“来源”，并具有“互动性”和“情境性”。这种句子理解的观点认为，句子的命题意义归根结底是由它的句法结构和词汇内容决定的，当理解成功时，这一意义是通过赋予句法结构(句法分析)并将其与词汇意义结合来确定命题意义(句法解释，我们将简称为解释)的过程来获得的。然而，这些整合的中央过程并不是被认为是句子意义候选的命题表征的唯一来源。命题意义也是通过非句法过程来分配的，例如启发式方法，将施事分配给前动词名词(理解有多个来源)。这些多重来源产生了在线句子意义的候选，这些候选最终被排除，转而支持句子的句法许可解释(S)。此外，分析和口译还受到各种信息的在线影响，如词汇形式及其共现的频率(理解是“交互的”)，以及非语言因素如任务条件(理解是“情境”的)。这项拟议的研究将确定大脑中涉及分析和解释操作以及它们与非语言过程的在线交互的区域。我们将研究这些交互的两种主要类型--解析和解释与知觉和运动过程之间的交互，以及解析和解释与语义记忆之间的交互。我们将使用MR约束的集成脑磁图(MEG)和脑电(EEG)来获得具有细粒度时间和空间分辨率的神经活动的测量，并应用格兰杰因果分析(Granger，1969)对这些数据进行分析，以确定在句子处理过程中功能可解释的ROI之间的定向因果影响模式。 与公共健康相关：该项目将促进我们对句子理解过程中发生的复杂神经活动的理解。因此，这些发现将为更好地诊断此类疾病提供基础。