Investigating language with multi-voxel pattern analysis

通过多体素模式分析研究语言

• 批准号: 7638505
• 负责人: Matthew M Botvinick
• 金额: $ 33.61万
• 依托单位: PRINCETON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-06-15 至 2012-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7638505
• 关键词: Acoustics; Address; Area; Awareness; Behavioral Research; Brain; Cereals; Cerebral cortex; Cognitive; Data; Developmental reading disorder; Discrimination; Disease; Dyslexia; Functional Magnetic Resonance Imaging; Goals; Human; Individual; Inferior; Language; Light; Measures; Methods; Neocortex; Pattern; Perception; Play; Population; Process; Reader; Reading; Research; Role; Stimulus; Structure; Techniques; Temporal Lobe; Testing; Training; Vision; Visual; Voice; Work; base; behavior measurement; experience; frontal lobe; language processing; neuroimaging; phonology; relating to nervous system; skills; tool; visual process; visual processing

DESCRIPTION (provided by applicant): We aim to apply an important new functional neuroimaging technique, known as multi-voxel pattern analysis, to the study of phonological processing. Multi-voxel pattern analysis focuses on distributed patterns of brain activation, as measured with functional magnetic resonance imaging (fMRI), applying pattern analytic techniques to determine the information these patterns may carry. Applications of the technique to visual processing have produced dramatic results, allowing surprisingly fine-grained discriminations among cortical states, and accessing the similarity structure of distributed neural representations. Our preliminary research indicates that multi-voxel pattern analysis may also represent a powerful tool for studying the neural basis of language, affording access to item-specific phonological representations and their similarity relations. The objective of the proposed work is to apply our established approach to several key issues concerning phonological processing. First, we aim to address the question of where phonemes are represented, seeking to confirm the role of several cortical regions in representing phonological information. Within these areas, we propose to investigate how phonemes are represented, examining the similarity structure of phonological representations and relating this to the acoustic and articulatory features of individual phonemes. This portion of the work will also investigate the neural correlates of categorical structure and voice-face integration in phoneme perception, and test for context-sensitivity in phoneme representation. A second major goal of the project is to use multi-voxel pattern analysis to investigate the neural representation of phonology in populations displaying deficits in phonological processing, and in particular among individuals with developmental dyslexia. A final aim is to track experience-induced changes in cortical representations of phonology, in both normal and dyslexic individuals. The proposed research is intended to shed light on basic aspects of normal and disordered language processing, as well as to pioneer the application of new methods for studying the neural basis of language.

描述（由申请人提供）：我们的目标是应用一种重要的新型功能神经成像技术，即多体素模式分析，来研究语音加工。多体素模式分析侧重于脑激活的分布模式，通过功能磁共振成像（fMRI）测量，应用模式分析技术来确定这些模式可能携带的信息。该技术在视觉处理中的应用已经产生了惊人的结果，允许在皮层状态之间进行惊人的细粒度区分，并访问分布式神经表征的相似结构。我们的初步研究表明，多体素模式分析也可能是研究语言神经基础的有力工具，可以提供特定项目的语音表征及其相似关系。提出的工作的目的是将我们建立的方法应用于语音处理的几个关键问题。首先，我们的目标是解决音素在哪里被表示的问题，试图确认几个皮层区域在表示音素信息中的作用。在这些领域，我们建议研究音素是如何表征的，检查音位表征的相似结构，并将其与单个音素的声学和发音特征联系起来。这部分工作还将研究音素感知中分类结构和语音-面孔整合的神经关联，并测试音素表征中的上下文敏感性。该项目的第二个主要目标是使用多体素模式分析来研究语音处理缺陷人群的语音神经表征，特别是在患有发展性阅读障碍的个体中。最后的目的是跟踪经验诱发的皮层音韵学表征的变化，在正常和诵读困难的个体。本研究旨在阐明正常和紊乱语言处理的基本方面，并开创研究语言神经基础的新方法的应用。