Modarres Mo, Kuzma Nicholas N, Kretzmer Tracy, Pack Allan I, Lim Miranda M
Brain Rehabilitation Research Center, North Florida/South Georgia Veterans Affairs Medical Center, Gainesville, FL.
Research Service, Veterans Affairs Portland Health Care System, Portland OR; Department of Physics, Portland State University, Portland, OR.
Neurobiol Sleep Circadian Rhythms. 2016 Jul 1;1.
Evidence from previous studies suggests that greater sleep pressure, in the form of EEG-based slow waves, accumulates in specific brain regions that are more active during prior waking experience. We sought to quantify the number and coherence of EEG slow waves in subjects with mild traumatic brain injury (mTBI).
We developed a method to automatically detect individual slow waves in each EEG channel, and validated this method using simulated EEG data. We then used this method to quantify EEG-based slow waves during sleep and wake states in both mouse and human subjects with mTBI. A modified coherence index that accounts for information from multiple channels was calculated as a measure of slow wave synchrony.
Brain-injured mice showed significantly higher theta:alpha amplitude ratios and significantly more slow waves during spontaneous wakefulness and during prolonged sleep deprivation, compared to sham-injured control mice. Human subjects with mTBI showed significantly higher theta:beta amplitude ratios and significantly more EEG slow waves while awake compared to age-matched control subjects. We then quantified the global coherence index of slow waves across several EEG channels in human subjects. Individuals with mTBI showed significantly less EEG global coherence compared to control subjects while awake, but not during sleep. EEG global coherence was significantly correlated with severity of post-concussive symptoms (as assessed by the Neurobehavioral Symptom Inventory scale).
Taken together, our data from both mouse and human studies suggest that EEG slow wave quantity and the global coherence index of slow waves may represent a sensitive marker for the diagnosis and prognosis of mTBI and post-concussive symptoms.
以往研究的证据表明,以脑电图慢波形式存在的更大睡眠压力会在先前清醒经历中更活跃的特定脑区累积。我们试图量化轻度创伤性脑损伤(mTBI)患者脑电图慢波的数量和连贯性。
我们开发了一种自动检测每个脑电图通道中单个慢波的方法,并使用模拟脑电图数据对该方法进行了验证。然后,我们使用该方法量化mTBI小鼠和人类受试者在睡眠和清醒状态下基于脑电图的慢波。计算一种考虑多个通道信息的修正相干指数,作为慢波同步性的度量。
与假手术对照小鼠相比,脑损伤小鼠在自发清醒和长期睡眠剥夺期间,θ波与α波的振幅比显著更高,慢波数量显著更多。与年龄匹配的对照受试者相比,mTBI人类受试者在清醒时θ波与β波的振幅比显著更高,脑电图慢波数量显著更多。然后,我们量化了人类受试者多个脑电图通道上慢波的全局相干指数。mTBI个体在清醒时脑电图全局相干性显著低于对照受试者,但在睡眠期间则不然。脑电图全局相干性与脑震荡后症状的严重程度(通过神经行为症状量表评估)显著相关。
综合来看,我们来自小鼠和人类研究的数据表明,脑电图慢波数量和慢波全局相干指数可能是mTBI和脑震荡后症状诊断及预后的敏感标志物。