Dynamics of Large Scale Cortical Networks

大规模皮质网络的动力学

• 批准号: 7034587
• 负责人: Steven L Bressler
• 金额: $ 17.15万
• 依托单位: FLORIDA ATLANTIC UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-04-01 至 2008-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7034587
• 关键词: animal data; brain electrical activity; brain mapping; cerebral cortex; cognition; eye movements; form /pattern perception; method development; neural conduction; neural information processing; neurophysiology; sensory feedback; vision; visual cortex; visual depth perception; visual feedback; visual pathways

Visual function depends on the remarkable integration of a number of interrelated subprocesses such as anticipation, stimulus recognition, and stimulus discrimination. The brain is able to orchestrate these elementary processes by coordinating the activities of diverse neural structures in the face of continuously varying processing demands. The question of how this coordination operates is central to understanding the neural basis of visual function. This proposal aims to investigate the coordinated activity of distributed neuronal ensembles in the cerebral cortex of non-human primates performing a visual pattern discrimination task. It is motivated by theoretical considerations suggesting that the large-scale functional coordination of interacting neuronal ensembles is an essential component of visual function (Bressler 1995, 1996; Bressler & Kelso 2001). A combined approach of experimental work and methods development is proposed to investigate the operations of large-scale cortical networks underlying visual function. Specific hypotheses concerning the dynamics of large-scale cortical coordination will be tested by analysis of local field potentials recorded from indwelling electrodes in the cerebral cortex. Access to the rapidly changing dynamics of field potential interdependency will be possible through the use of the adaptive multivariate autoregressive methodology developed under our previous R03 project. This methodology consists of a number of interrelated techniques that can characterize the multiple, complex interactions of large-scale distributed cortical networks in a very short time frame (Ding et al. 2000). Included are methods to derive multi-site interaction patterns, analyze the dependencies of functional relations on particular group of neurons, and measure causal influences between cortical areas. Our methodological development will continue by constructing a comprehensive framework for the optimal utilization of existing techniques, and by developing more powerful measures of network function that deal with problems of nonlinearity and nonstationarity. This work is expected to: (1) produce new insights into the coordination dynamics of large-scale cortical networks in vision; and (2) make available new digital signal processing tools for the investigation of large-scale neural systems underlying other cognitive functions.

视觉功能依赖于许多相互关联的子过程的显著整合，例如预期，刺激识别和刺激辨别。面对不断变化的处理需求，大脑能够通过协调不同神经结构的活动来协调这些基本过程。这种协调如何运作的问题是理解视觉功能的神经基础的核心。本研究旨在探讨非人类灵长类动物大脑皮层中分布的神经元群在执行视觉模式辨别任务时的协调活动。它的动机是理论上的考虑，表明相互作用的神经元集合的大规模功能协调是视觉功能的重要组成部分（Bressler 1995，1996; Bressler & Kelso 2001）。实验工作和方法开发相结合的方法，提出了调查大规模的皮层网络的视觉功能的操作。关于大规模皮层协调动力学的具体假设将通过分析大脑皮层中留置电极记录的局部场电位进行测试。通过使用我们以前的R 03项目开发的自适应多变量自回归方法，可以获得场电位相互依赖性的快速变化动态。这种方法包括许多相互关联的技术，可以在很短的时间内表征大规模分布式皮层网络的多个复杂的相互作用（Ding et al. 2000）。包括方法来获得多站点的相互作用模式，分析依赖的功能关系的特定组的神经元，并测量皮质区域之间的因果关系。我们的方法论发展将继续通过构建一个全面的框架，最佳利用现有的技术，并通过开发更强大的网络功能，处理非线性和非平稳性问题的措施。这项工作预计将：（1）对视觉中大规模皮质网络的协调动态产生新的见解;（2）提供新的数字信号处理工具来研究其他认知功能背后的大规模神经系统。

项目成果

Response preparation and inhibition: the role of the cortical sensorimotor beta rhythm.

• DOI: 10.1016/j.neuroscience.2008.06.061
• 发表时间: 2008-09-22
• 期刊: NEUROSCIENCE
• 影响因子: 3.3
• 作者: Zhang, Y.;Chen, Y.;Bressler, S. L.;Ding, M.
• 通讯作者: Ding, M.

Analyzing stability of equilibrium points in neural networks: a general approach.

分析神经网络中平衡点的稳定性：一种通用方法。

• DOI: 10.1016/s0893-6080(03)00136-9
• 发表时间: 2003
• 期刊: Neural networks : the official journal of the International Neural Network Society.
• 作者: Truccolo,WilsonA;Rangarajan,Govindan;Chen,Yonghong;Ding,Mingzhou
• 通讯作者: Ding,Mingzhou