Dynamic Neuroimaging with High-resolution SSVEPs

使用高分辨率 SSVEP 进行动态神经成像

• 批准号: 6836059
• 负责人: RAMESH SRINIVASAN
• 金额: $ 54.62万
• 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/6836059
• 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

产品说明：拟议的实验，模拟和理论EEG研究将开发现代工程工具，供认知和医学科学家未来使用。这些工具可能适用于各种疾病状态，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、阿尔茨海默病等）。所提出的工具结合联合收割机高分辨率EEG与MEG和新的方法来量化动态（时空）特性的EEG和稳态视觉诱发电位（SSVEP）。实验研究将应用高分辨率SSVEP动态测量来研究意识知觉、选择性注意、知觉组织和工作记忆。方法，以确定真正的措施之间的功能整合皮质区将开发和测试与高分辨率SSVEP。SSVEP提供了新皮层动态和认知功能的强大措施，在很大程度上是无伪影的。功能定位和整合之间的“竞争”的SSVEP测量将包括各种频带中的相干性和其他锁相测量。实验SSVEP数据将被解释的背景下，细胞组装体的形成嵌入的背景下的“突触作用领域”使用的理论模型的新皮层动态功能的基础上真正的生理和解剖。突触作用场定义为与功能无关的任何时刻活跃的兴奋性和抑制性突触的数量密度。这种理论结构提供了生理学和EEG/SSVEP数据之间的必要联系。通过这种方式，将获得EEG动力学、认知过程和理论模型之间的三重对应。在这些研究中开发的EEG和SSVEP工具应该为以后应用于广泛的特定认知或医疗条件的研究提供坚实的基础。这些工具将作为高分辨率EEG、SSVEP和MEG分析软件免费分发，并附有支持手册和示例