HIGH RESOLUTION EEG FOR POLYSOMNOGRAPHY

在不了解其功能意义的情况下，我们花费了三分之一的时间 住在睡梦中。随着神经科学为我们理解 人脑功能，需要一种改进的评估技术来 描述睡眠的功能神经生理学。功能磁共振成像与正电子发射计算机断层扫描 神经成像方法在确定睡眠特征方面的作用有限 组织，因为他们的测量技术(需要负责人 固执)与正常的夜间睡眠不相容。我们建议 发展睡眠(睡眠组织和神经唤醒的微观状态) 密集传感器阵列脑电研究的评价系统 嗡嗡作响。改进的128通道脑电的空间采样将 纠正了传统脑电的一个重要不足，从而有望获得新的 对大脑活动的洞察。Somna系统将提供先进的 睡眠脑电和多导睡眠图测量的计算机评估，以及它 会将BEAT分为唤醒的微状态和传统的 睡眠阶段。该系统将推动临床睡眠技术的进步 实验室，提供密集阵列脑电的新方法，用于研究 电流密度、电场动画和MR约束源 本地化。

Without understanding its functional significance, we spend a third of our lives sleeping. 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 neuroimaging are of limited utility in characterizing sleep organization because their measurement technologies (requiring head fixation) are incompatible with a normal night's sleep. We propose to develop the SOMNA (Sleep Organization and Microstates of Neural Arousal) assessment system for dense sensor array electroencephalographic studies of bleep. The improved spatial sampling of the 128-channel EEG will correct an important inadequacy of conventional EEG, thereby promising new insights into brain activity. The SOMNA system would provide advanced computerized assessment of sleep EEG and polysomnographic measures, and it would segment the BEG 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.