HIGH RESOLUTION EEG FOR POLYSOMNOGRAPHY

随着神经科学在理解人类大脑功能方面取得新的进展，需要一种改进的评估技术来表征睡眠的功能神经生理学。脑血流成像的fMRI和PET方法在表征睡眠组织方面面临局限性，因为它们的测量技术（如头部固定和大扫描噪声）对正常睡眠有问题。此外，睡眠神经生理学涉及许多必须以毫秒级的时间分辨率来描述的快速事件。我们建议开发睡眠组织和神经觉醒微状态（SOMNA）评估系统，用于睡眠的密集传感器阵列脑电图（EEG）研究。改进的128和256通道脑电图的空间采样将纠正传统脑电图的一个重要不足，有望更准确地进行睡眠神经生理学解剖分析。SOMNA系统将为睡眠脑电图和多导睡眠图测量提供先进的计算机评估，它将脑电图分割成唤醒的微观状态和传统的睡眠阶段。该系统将推动临床睡眠实验室技术的发展，为研究电流密度、电场动画和核磁共振约束源定位提供密集阵列脑电图的新方法。提高对睡眠生理学的理解可能对临床睡眠障碍（包括失眠、癫痫和睡眠呼吸暂停）很重要。拟议的商业应用：SOMNA系统易于测试和解释，不仅对睡眠研究中心有吸引力，而且对临床睡眠实验室也有吸引力，在许多医院和神经病学诊所集成了数字脑电图和睡眠多导睡眠图功能。

As neuroscience provides new advances into understanding human brain function, an improved assessment technology is required to characterize the functional neurophysiology of sleep. The fMRI and PET methods of cerebral blood flow imaging face limitations in characterizing sleep organization because their measurement technologies (such as head fixation and loud scanning noise) are problematic for normal sleep. Furthermore, sleep neurophysiology involves many rapid events that must be described with millisecond temporal resolution. We propose to develop the SOMNA (Sleep Organization and Microstates of Neural Arousal) assessment system for dense sensor array electroencephalographic (EEG) studies of sleep. The improved spatial sampling of the 128- and 256- channel EEG will correct an important inadequacy of conventional EEG, promising more accurate anatomical analysis of sleep neurophysiology. The SOMNA system would provide advanced computerized assessment of sleep EEG and polysomnographic measures, and it would segment the EEG into microstates of arousal as well as traditional sleep stages. The system would advance the technology of clinical sleep laboratories, providing new methods of dense array EEG for studies of current density, electrical field animations, and MR-constrained source localization. The improved understanding of sleep physiology may be important to clinical sleep disorders including insomnia, epilepsy, and sleep apnea. PROPOSED COMMERCIAL APPLICATIONS: The ease of testing and interpretation with the SOMNA system will be attractive not only to sleep research centers, but to clinical sleep laboratories, integrating the Digital EEG and Sleep Polysomnography functions in many hospitals and neurology clinics.