Dynamic Neuroimaging with High-resolution SSVEPs

使用高分辨率 SSVEP 进行动态神经成像

• 批准号: 6729589
• 负责人: RAMESH SRINIVASAN
• 金额: $ 35.62万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-01 至 2006-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6729589
• 关键词: attention; bioimaging /biomedical imaging; biomedical equipment development; brain imaging /visualization /scanning; clinical biomedical equipment; clinical research; direct cortical response; electroencephalography; evoked potentials; human subject; image enhancement; magnetoencephalography; memory; neuroimaging; perception; synapses

DESCRIPTION: The proposed experimental, simulation, and theoretical EEG studies will develop modern engineering tools for future use by cognitive and medical scientists. These tools are potentially applicable to a wide variety of disease states, including mental disorders (ADHD, depression, schizophrenia, depression, sleep disorders, etc.) and neurological conditions (epilepsies, head trauma, strokes, coma, Alzheimer's disease, etc.). The proposed tools combine high-resolution EEG with MEG and new methods to quantify dynamic (spatial-temporal) properties of EEG and steady-state visually evoked potentials (SSVEP). Experimental studies will apply high-resolution SSVEP dynamic measures to investigate conscious perception, selective attention, perceptual organization, and working memory. Methods to identify genuine measures of functional integration between cortical areas will be developed and tested with high-resolution SSVEP. SSVEP provides robust measures of neocortical dynamic and cognitive function that are largely artifact-free. SSVEP measures of the "competition" between functional localization and integration will include coherence and other phase locking measures in various frequency bands. The experimental SSVEP data will be interpreted in the context of cell assembly formation embedded within a background of "synaptic action fields" using theoretical models of neocortical dynamic function based on genuine physiology and anatomy. The synaptic action fields are defined as the number densities of active excitatory and inhibitory synapses at any time, independent of function. This theoretical construct provides the necessary connection between physiology and EEG/SSVEP data. In this manner, a triple correspondence between EEG dynamics, cognitive processes, and theoretical models will be obtained. The EEG and SSVEP tools developed in these studies should provide firm foundations for later studies applied to a wide range of specific cognitive or medical conditions. These tools will be freely distributed as software for high-resolution EEG, SSVEP, and MEG analysis with a supporting manual and examples

描述：拟议的实验，模拟和理论脑电图研究将开发现代工程工具，以供认知和医学科学家将来使用。这些工具可能适用于多种疾病状态，包括精神障碍（ADHD，抑郁症，精神分裂症，抑郁症，睡眠障碍等）和神经系统疾病（癫痫，头部创伤，中风，昏迷，阿尔茨海默氏病等）。所提出的工具将高分辨率EEG与MEG结合在一起，以及量化脑电图和稳态视觉诱发电位（SSVEP）的动态（时空）特性的新方法。实验研究将采用高分辨率SVEP动态措施来研究有意识的感知，选择性关注，感知组织和工作记忆。将使用高分辨率SSVEP开发和测试，以确定皮质区域之间功能整合的真实度量的方法。 SSVEP提供了新皮质动态和认知功能的强大度量，这些措施在很大程度上不含伪影。功能定位和集成之间“竞争”的SSVEP度量将包括各种频带中的连贯性和其他相位锁定度量。实验性SSVEP数据将在使用基于真正的生理学和解剖学的新皮层动态功能的理论模型中解释在“突触作用场”背景中嵌入的细胞组装形成背景。突触作用场定义为随时与功能无关的活动兴奋性和抑制突触的数量密度。该理论构造提供了生理学与EEG/SSVEP数据之间的必要联系。以这种方式，将获得EEG动力学，认知过程和理论模型之间的三重对应关系。这些研究中开发的EEG和SSVEP工具应为以后的研究提供牢固的基础，用于适用于广泛的特定认知或医疗状况。这些工具将作为高分辨率脑电图，SSVEP和MEG分析的软件自由分配，并提供支持手册和示例