Tracking development of global visual function using high-density eeg

使用高密度脑电图跟踪全局视觉功能的发展

• 批准号: 8451301
• 负责人: Lynne Kiorpes
• 金额: $ 10.31万
• 依托单位: NEW YORK UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-04-01 至 2015-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8451301
• 关键词: Age; Amblyopia; Animal Model; Animals; Area; Autistic Disorder; Behavioral; Biological Assay; Brain; Brain imaging; Clinical; Cognitive; Data; Databases; Development; Dorsal; Electrodes; Electroencephalography; Emotional; Evaluation; Future; Generations; Goals; Head; Human; Human Development; Image; Individual; Infant; Knowledge; Link; Literature; MRI Scans; Macaca; Magnetic Resonance Imaging; Measures; Methodology; Methods; Modeling; Monkeys; Motion; Neurons; Newborn Infant; Organism; Outcome; Pathway interactions; Pattern; Population; Premature Infant; Primates; Relative (related person); Research; Resolution; Scanning; Series; Signal Transduction; Solutions; Source; Staging; Stimulus; Stream; Surface; System; Techniques; Technology; Time; Translating; Vision; Visual; Visual Pathways; Work; behavior measurement; cognitive function; density; design; disability; extrastriate; functional status; improved; in vivo; neurodevelopment; neuromechanism; neurophysiology; nonhuman primate; novel; premature; programs; relating to nervous system; sensor; vision development; visual process; visual processing

Project Summary The aim of this proposal is to support a novel research program that will allow the integration of behavioral and electrophysiological assays of visual development with modeling of brain development to identify the neural correlates of developmental changes in visual function. We propose to adapt existing methodology of high- density EEG recording for use in an animal model. The goal of the project is to use a non-invasive assay for studying brain development in vivo that will allow direct comparison with behavioral measures of visual function and which will also directly correlate with neurophysiological data obtained through other studies. The resulting data can be directly translated to questions of brain development in humans, and the methodology can be extended to the study of brain maturation in other domains and with other populations. To accomplish our goal, we will develop technology to enable high-density EEG signals to be acquired from infant nonhuman primates. We will generate head models from high-resolution structural MRI scans at a number of developmental stages so that the sources of the EEG signals can be identified across ages. Using the methodology we develop, we will study the development of the major extrastriate visual processing pathways, the dorsal and ventral streams. We will then directly link changes in neural activity to behaviorally measured development of visual function. This project will yield four important outcomes. First, we will obtain the first direct comparison between non-invasively obtained signals reflecting brain development and the development of behavioral visual function. Second, we will provide information on the sources of these signals for direct comparison with single neuron recordings and EEG data obtained in human infants. Third, we will acquire a complete series of developmental brain images that can be used as a normative database in future research. Fourth, we will adapt a very important technology for use in small primates, which will be directly relevant to the problem of evaluation of brain function, for clinical or research purposes, in very premature infants or other small, neurologically challenged individuals.

项目摘要 这项提案的目的是支持一项新的研究计划，该计划将允许整合行为和 视觉发育的电生理学测定与脑发育的建模，以识别神经 与视觉功能的发育变化相关。我们建议调整现有的高- 密度EEG记录用于动物模型。该项目的目标是使用一种非侵入性的检测方法， 在活体中研究大脑发育，将允许直接与视觉功能的行为测量进行比较 并且还将与通过其它研究获得的神经生理学数据直接相关。所得 数据可以直接转化为人类大脑发育的问题，方法可以 扩展到其他领域和其他人群的大脑成熟研究。 为了实现我们的目标，我们将开发技术，使高密度EEG信号能够从 幼年非人类灵长类动物我们将从高分辨率结构MRI扫描中生成头部模型， 发展阶段的数量，以便可以跨年龄识别EEG信号的来源。使用 我们开发的方法，我们将研究主要的纹外视觉处理的发展 背侧流和腹侧流。然后我们将直接将神经活动的变化与行为联系起来 测量视觉功能的发展。该项目将产生四项重要成果。首先，我们将获得 第一次直接比较非侵入性获得的反映大脑发育的信号和 行为视觉功能的发展。其次，我们将提供有关这些信号来源的信息 与人类婴儿的单神经元记录和EEG数据进行直接比较。三是 获得一个完整的系列发育脑图像，可用作未来的标准数据库 research.第四，我们将采用一种非常重要的技术，用于小型灵长类动物， 与脑功能评估问题有关，用于临床或研究目的， 婴儿或其他小的、神经上有挑战的个体。