Quantitative EEG correlations with brain glucose metabolic rate during anesthesia in volunteers
Quantitative EEG correlations with brain glucose metabolic rate during anesthesia in volunteers
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DOI：
10.1097/00000542-199808000-00007
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发表时间：
1998-08-01
期刊：
影响因子：
8.8
通讯作者：
Alkire, MT
中科院分区：
文献类型：
--
作者：
Alkire, MT
背景：为了帮助阐明麻醉引起的脑电图（EEG）变化与麻醉引起的并发脑代谢变化之间的关系，将麻醉期间志愿者脑代谢的正电子发射断层扫描数据与各种同时测量的脑电图描述符进行回顾性关联。方法：使用（18）氟脱氧葡萄糖技术对志愿者进行功能性脑成像；一项扫描始终评估清醒基线脑代谢 (n = 7)，其他扫描评估丙泊酚镇静 Cn = 4)、丙泊酚麻醉 Cn = 4) 或异氟烷麻醉 (n = 5) 期间的代谢。在代谢评估期间使用额叶乳突蒙太奇连续记录脑电图。功率谱变量、中频、95% 频谱边缘和双频谱指数 (BIS) 值随后与麻醉引起的葡萄糖利用的绝对脑代谢减少 (PACMR) 百分比相关。结果：麻醉期间明显的绝对脑代谢减少百分比、趋势中频 (r = - 0.46，P = 0.11) 和频谱边缘 (r = - 0.52，P = 0.07)，并与麻醉类型（r = - 0.70，P < 0.05）、相对β功率（r = - 0.60，P < 0.05）、总功率（r = 0.71，P < 0.01）和脑电双频指数（r = - 0.81，P < 0.001）。在控制麻醉类型后，只有双频指数（r = 0.40，P = 0.08）和α功率（r = 0.37，P = 0.10）在解释绝对脑代谢减少预测误差的残余百分比方面接近显着性。结论：一些脑电图描述符与异丙酚和异氟醚麻醉引起的脑代谢减少的程度线性相关。这些数据表明，麻醉期间脑电图和脑代谢之间存在生理联系，这种联系在数学上是可以量化的。
Background: To help elucidate the relationship between anesthetic-induced changes in the electroencephalogram (EEG) and the concurrent cerebral metabolic changes caused by anesthesia, positron emission tomography data of cerebral metabolism obtained in volunteers during anesthesia were correlated retrospectively with various concurrently measured EEG descriptors.Methods: Volunteers underwent functional brain imaging using the (18)fluorodeoxyglucose technique; one scan always assessed awake-baseline cerebral metabolism (n = 7), and the other scans assessed metabolism during propofol sedation Cn = 4), propofol anesthesia Cn = 4), or isoflurane anesthesia (n = 5). The EEG was recorded continuously during metabolism assessment using a frontal-mastoid montage. Power spectrum variables, median frequency, 95% spectral edge, and bispectral index (BIS) values subsequently were correlated with the percentage of absolute cerebral metabolic reduction (PACMR) of glucose utilization caused by anesthesia.Results: The percentage of absolute cerebral metabolic reduction, evident during anesthesia, trended median frequency (r = - 0.46, P = 0.11), and the spectral edge (r = - 0.52, P = 0.07), and correlated with anesthetic type (r = - 0.70, P < 0.05), relative beta power (r = - 0.60, P < 0.05), total power (r = 0.71, P < 0.01), and bispectral index (r = - 0.81, P < 0.001). After controlling for anesthetic type, only bispectral index (r = 0.40, P = 0.08) and alpha power (r = 0.37, P = 0.10) approached significance for explaining residual percentage of absolute cerebral metabolic reduction prediction error.Conclusions: Some EEG descriptors correlated linearly with the magnitude of the cerebral metabolic reduction caused by propofol and isoflurane anesthesia. These data suggest that a physiologic link exists between the EEG and cerebral metabolism during anesthesia that is mathematically quantifiable.