Brain Networks of Noun Generation

名词生成的大脑网络

• 批准号: 9326966
• 负责人: NITIN TANDON
• 金额: $ 38.64万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-18 至 2020-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9326966
• 关键词: Affect; Anomia; Anterior; Architecture; Area; Articulation; Auditory; Auditory area; Behavior; Biological; Brain; Brain region; Broca' s area; Characteristics; Clinical Management; Cognitive; Coupled; Coupling; Data; Data Set; Detection; Development; Disease; Electric Stimulation; Electrodes; Electroencephalography; Epilepsy; Etiology; Evoked Potentials; Frequencies; Functional Imaging; Functional disorder; Generations; Goals; Human; Imaging Techniques; Individual; Insula of Reil; Interlobar; Language; Linguistics; Lobe; Measures; Memory; Mental disorders; Methods; Modeling; Motor; Names; Neoplasms; Nerve Degeneration; Network-based; Neurobiology; Neurologic; Output; Parietal; Pathway Analysis; Patients; Phase; Physiologic pulse; Play; Prefrontal Cortex; Process; Production; Psycholinguistics; Research; Resolution; Role; Sampling; Sensory; Somatosensory Cortex; Speech; Stroke; Structure; System; Temporal Lobe; Testing; Trauma; Visual; Visual Perception; Work; base; behavior measurement; cohort; data modeling; innovation; insight; interest; language processing; lexical; nervous system disorder; network architecture; network models; novel; phonology; public health relevance; relating to nervous system; remediation; somatosensory; spatiotemporal; temporal measurement; treatment strategy

 DESCRIPTION (provided by applicant): Speech production relies upon a distributed network that is disrupted by a variety of neurological diseases including trauma, stroke, neuro-degeneration and neoplasms. Despite the central role of language in human behavior, our understanding of linguistic disorders and the development of appropriate treatment strategies is impeded by the absence of biologically instantiated models to explain one of the most basic of language processes - the production of words. We propose to use intracranial electroencephalographic (icEEG) recordings to generate a network-based description of the within region (Broca's area, insula and temporal pole) as well as inter-regional dynamics and use this data to critically evaluate current neuro-linguistic models and a model proposed by our group. We will cross-validate these findings using a novel direct cortical stimulation approach. We will collect high spatio-temporal resolution datasets during naming of objects, people and places from a large cohort of neurosurgical patients (n=70) and generate a network representation of information flow between visual, frontal, insular and temporal pole regions during word production. We hypothesize that word production relies on local cortical networks, coupled with long-range interactions within more distributed language network. This hypothesis will be tested with multiple analytic pipelines (using amplitude envelope correlations, phase locking values, phase-amplitude coupling and directed transfer functions). We will implement chronometrically controlled closed loop cortical stimulation - timed to the onset of focal high gamma band activity - to induce transient dysfunction of critical word production nodes enabling assessment of the causality of the icEEG data. We will leverage our expertise with measuring induced current spreads in the brain, by studying the effect of ongoing network processes on the amplitude and latency of cortico-cortical evoked potentials and high gamma activity to further assess network representations. In summary, the proposed work aims to investigate the neuro-dynamics of naming at multiple spatial levels (regional and global) using a variety of network analysis methods. The proposed work will provide unique information on the neurobiology of word production with broad implications for the understanding of normal language and for the clinical management of patients with anomia.

 描述(申请人提供)：语音产生依赖于一个分布式网络，该网络被包括创伤、中风、神经退行性变和肿瘤在内的各种神经疾病破坏。尽管语言在人类行为中起着核心作用，但由于缺乏生物实例化的模型来解释最基本的语言过程之一--单词的产生，我们对语言障碍的理解和适当治疗策略的开发受到了阻碍。我们建议使用颅内脑电(IcEEG)记录来生成对内部区域(Broca区、脑岛和颞极)以及区域间动态的基于网络的描述，并使用这些数据来批判性地评估当前的神经语言模型和我们小组提出的模型。我们将使用一种新的直接皮质刺激方法来交叉验证这些发现。我们将从一大群神经外科患者(n=70)的对象、人和地点的命名过程中收集高时空分辨率的数据集，并在单词生成过程中生成视觉、额叶、岛状和颞极区域之间的信息流的网络表示。我们假设，单词的产生依赖于局部皮质网络，以及更分散的语言网络中的远程交互。这一假设将通过多条分析管道进行验证(使用幅度包络相关、锁相值、相位-幅度耦合和定向传递函数)。我们将实施计时控制的闭环皮质刺激-计时到焦点高伽马频段活动开始-以诱导关键单词产生节点的暂时性功能障碍，从而能够评估icEEG数据的因果关系。我们将利用我们在测量大脑中感应电流扩散方面的专业知识，通过研究正在进行的网络过程对皮质诱发电位的幅度和潜伏期以及高伽马活动的影响来进一步评估网络表示。综上所述，这项拟议的工作旨在利用各种网络分析方法在多个空间水平(区域和全球)调查命名的神经动力学。这项拟议的工作将提供有关单词产生的神经生物学的独特信息，对理解正常语言和异常患者的临床管理具有广泛的意义。