Dynamic Neuroimaging with High-Resolution SSVEPs

描述(申请人提供)：拟议的实验、模拟和理论脑电/脑磁图研究将开发现代工程工具，供认知和医学科学家未来使用，他们使用稳态视觉诱发电位(SSVEP)进行生理研究。SSVEP提供了在很大程度上没有伪影的新皮质动态和认知功能的稳健测量。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)。以及神经疾病(癫痫、头部创伤、中风、昏迷、阿尔茨海默病等)。所提出的工具结合了脑电和脑磁图，以及新的范式和分析方法来量化SSVEP的动态(时空)特性。该框架将用于空间和特征注意任务中局部和分布式脑网络的实验研究。实验中的SSVEP数据将在“突触作用场”背景下的细胞组装形成的背景下进行解释，使用基于真实生理学和解剖学的局部和分布式大脑网络的理论模型。这一理论结构提供了生理学与EEG/SSVEP数据之间的必要联系。这种方法的基本功能是局部和分布式大脑网络在不同的频率范围内工作，因此可以很容易地用SSVEP进行研究。以这种方式，SSVEP动力学、认知过程和理论模型之间的三重对应将被获得。在这些研究中开发的EEG和SSVEP工具应该为后来应用于广泛特定认知或医学条件的研究的生理学解释提供坚实的基础。这些工具将作为软件免费分发，用于高分辨率EEG、MEG和SSVEP分析、建模和模拟，并附带辅助手册和示例。公共卫生相关性：脑电图是一种广泛使用的研究和诊断工具，用于各种疾病状态，包括精神障碍和神经疾病。该项目通过开发认知和临床研究的新实验方法，以及相应的大脑动力学和大脑电磁场物理理论模型，极大地促进了基于脑电的神经科学的发展。

DESCRIPTION (provided by applicant): The proposed experimental, simulation, and theoretical EEG/MEG studies will develop modern engineering tools for future use by cognitive and medical scientists who carry out physiological studies using steady-state visual evoked potentials (SSVEPs). SSVEP provides robust measures of neocortical dynamic and cognitive function that are largely artifact-free. 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 EEG with MEG and new paradigms and analytic methods to quantify dynamic (spatial-temporal) properties of SSVEPs. This framework will be used in experimental studies of localized and distributed brain networks in spatial and feature attention tasks. 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 localized and distributed brain networks based on genuine physiology and anatomy. This theoretical construct provides the necessary connection between physiology and EEG/SSVEP data. The essential power of this method is that localized and distributed brain networks operate over different frequency ranges and thus can be easily investigated with SSVEPs. In this manner, a triple correspondence between SSVEP dynamics, cognitive processes, and theoretical models will be obtained. The EEG and SSVEP tools developed in these studies should provide firm foundations for the physiological interpretation of 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, MEG, and SSVEP analysis, modeling and simulation with a supporting manual and examples. PUBLIC HEALTH RELEVANCE: EEG is a widely used research and diagnostic tool in a wide variety of disease states including mental disorders and neurological conditions. This project significantly advances EEG based neuroscience by developing new experimental methods for cognitive and clinical studies in conjunction with corresponding theoretical models of brain dynamics and physics of electromagnetic fields of the brain.