Tracking development of global visual function using high-density eeg

项目摘要 这项提议的目的是支持一项新的研究计划，该计划将允许将行为和 视觉发育的电生理学分析与脑发育的模型来识别神经 视功能发育变化的相关性。我们建议采用现有的高- 用于动物模型的密度脑电记录。该项目的目标是使用一种非侵入性检测方法 研究大脑在活体内的发育，可以直接与视觉功能的行为测量进行比较 这也将与通过其他研究获得的神经生理学数据直接相关。由此产生的 数据可以直接转化为人类大脑发育的问题，方法可以是 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，使高密度脑电信号能够从 非人类灵长类幼崽。我们将从高分辨率的结构核磁共振扫描中生成头部模型 发育阶段的数量，以便可以在不同年龄确定脑电信号的来源。vbl.使用 在我们发展的方法论中，我们将主要研究纹外视觉加工的发展 小路，背侧和腹侧的流。然后，我们将直接将神经活动的变化与行为联系起来 测量视觉功能的发育情况。这一项目将产生四个重要成果。首先，我们将获得 首次将非侵入性获取的反映大脑发育的信号与 行为视觉功能的发展。第二，我们将提供有关这些信号来源的信息 用于直接与单个神经元记录和人类婴儿的脑电数据进行比较。第三，我们将 获取一系列完整的发育脑图像，可作为未来的标准化数据库 研究。第四，我们将调整一项非常重要的技术，用于小型灵长类动物，这将直接 与评估大脑功能的问题有关，出于临床或研究目的，为时过早 婴儿或其他神经学上有障碍的小个体。

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.