HIGH RESOLUTION EEG FOR POLYSOMNOGRAPHY

随着神经科学在理解人类大脑功能方面取得了新的进展，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方法在表征睡眠结构方面面临局限性，因为它们的测量技术(如头部固定和大声扫描噪声)对正常睡眠存在问题。此外，睡眠神经生理学涉及许多必须以毫秒时间分辨率描述的快速事件。我们建议开发用于密集传感器阵列脑电(EEG)睡眠研究的SOMNA(睡眠组织和神经唤醒的微状态)评估系统。改进的128和256通道脑电的空间采样将纠正传统脑电的一个重要不足，有望对睡眠神经生理学进行更准确的解剖分析。Somna系统将提供对睡眠脑电和多导睡眠图测量的高级计算机化评估，并将脑电划分为唤醒的微状态和传统睡眠阶段。该系统将促进临床睡眠实验室的技术进步，为电流密度、电场动画和磁共振约束源定位的研究提供新的密集阵列脑电方法。对睡眠生理学的进一步了解可能对临床睡眠障碍包括失眠、癫痫和睡眠呼吸暂停有重要意义。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，因为它集成了许多医院和神经科诊所的数字脑电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.