BETA EEG ACTIVITY IN INSOMNIA

描述：(改编自申请人的摘要)据估计 10%到15%的人口患有慢性原发性失眠。因此， 仅在美国，就有2700万至4100万人患有 降低他们的生活质量的疾病，对他们的 工作表现，并使他们面临更高的医疗和精神疾病风险 生病了。与失眠相关的经济成本估计在 每年数百亿美元。 尽管它的流行和后果，人们对它知之甚少 失眠的病理生理学及其与临床表现症状的关系 这是一种混乱。最近对睡眠脑电频谱成分的研究表明， 睡眠开始时/周围和非快速眼动睡眠期间的β频率脑电活动 与睡眠质量好的患者相比，原发性失眠患者的睡眠质量增加 对照组和伴有继发性失眠的MDD患者。虽然这表明 原发性失眠症患者的中枢神经系统觉醒水平高于正常 在睡眠开始时和在NREM睡眠期间，关于是否偏高，人们知之甚少 失眠症患者的脑电活动频率为1)仅限于β活动，2) 实际上起源于CNS 3)，如果起源于CNS，则在特定的脑电中占优势 站点，4)根据症状强度而不同，5)与主观相关 对睡眠质量和数量的感知。 我们建议进行一项实验，其中三组受试者将 连续四个晚上进行多导睡眠监测。课题组 将30例患者分为原发性失眠患者、30例继发性失眠患者 严重抑郁症和30个好睡眠控制组。每个人的数字脑电数据 学习之夜将从10个地点(F3、F4、C3、C4、T5、T6、P3、P4、O1、02)获得 并将为前4个NREM和REM中的每一个汇编功率谱数据 周期和睡眠的每一阶段。Beta-I(14-20赫兹)的组差异， 将评估β-2(20-35赫兹)、伽马(35-45赫兹)和欧米茄(45-125赫兹) 考虑到站点到站点和夜间到夜间的可变性。此外，我们还将 评估高频活动在多大程度上与 对睡眠质量和数量的感知。

DESCRIPTION: (Adapted from applicant's abstract) It has been estimated that between 10 and 15 percent of the population has chronic Primary Insomnia. Thus, in the United States alone between 27 and 41 million people suffer from a disorder that diminishes their quality of life, negatively impacts on their work performance and puts them at increased risk for medical and psychiatric illness. The economic costs associated with insomnia are estimated to be in the tens of billions of dollars per annum. Despite its prevalence and consequences, little is known about the pathophysiology of insomnia and how it is related to the presenting symptoms of the disorder. Recent work on the spectral components of the sleep EEG show that Beta frequency EEG activity at/around sleep onset and during NREM sleep is increased in patients with Primary Insomnia, in comparison to both good sleeper controls and MDD patients with secondary insomnia. While this suggests that patients with Primary Insomnia exhibit higher than normal levels of CNS arousal at sleep onset and during NREM sleep, little is known, about whether high frequency EEG activity in insomnia is 1) limited to the Beta activity, 2) actually CNS in origin 3), if CNS in origin, preponderant at specific EEG sites, 4) varies with symptom intensity and 5) correlated with the subjective perception of sleep quality and quantity. We propose to undertake one experiment in which three groups of subjects will be studied polysomnographically for four consecutive nights. The subject groups will be 30 patients with Primary Insomnia, 30 patients with insomnia secondary to Major Depression, and 30 good sleeper controls. Digital EEG data from each night of study will be obtained from 10 sites (F3,F4,C3,C4,T5,T6,P3,P4,O1 ,02) and power spectral data will be compiled for each of the first 4 NREM and REM cycles and for each stage of sleep. Group differences for Beta-I (14-20Hz), Beta-2 (20-35Hz), Gamma (35-45Hz) and Omega (45-125 Hz) will be assessed taking into account site-to-site and night-to-night variability. In addition, we will evaluate the extent to which high frequency activity is associated with the perception of sleep quality and quantity.