Katayama Hitoshi, Gianotti Lorena R R, Isotani Toshiaki, Faber Pascal L, Sasada Kyohei, Kinoshita Toshihiko, Lehmann Dietrich
The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Lenggstrasse 31, CH-8032 Zurich, Switzerland.
Brain Topogr. 2007 Fall;20(1):7-14. doi: 10.1007/s10548-007-0024-3. Epub 2007 Jun 21.
The study assessed the brain electric mechanisms of light and deep hypnotic conditions in the framework of EEG temporal microstates. Multichannel EEG of healthy volunteers during initial resting, light hypnosis, deep hypnosis, and eventual recovery was analyzed into temporal EEG microstates of four classes. Microstates are defined by the spatial configuration of their potential distribution maps ([Symbol: see text]potential landscapes') on the head surface. Because different potential landscapes must have been generated by different active neural assemblies, it is reasonable to assume that they also incorporate different brain functions. The observed four microstate classes were very similar to the four standard microstate classes A, B, C, D [Koenig, T. et al. Neuroimage, 2002;16: 41-8] and were labeled correspondingly. We expected a progression of microstate characteristics from initial resting to light to deep hypnosis. But, all three microstate parameters (duration, occurrence/second and %time coverage) yielded values for initial resting and final recovery that were between those of the two hypnotic conditions of light and deep hypnosis. Microstates of the classes B and D showed decreased duration, occurrence/second and %time coverage in deep hypnosis compared to light hypnosis; this was contrary to microstates of classes A and C which showed increased values of all three parameters. Reviewing the available information about microstates in other conditions, the changes from resting to light hypnosis in certain respects are reminiscent of changes to meditation states, and changes to deep hypnosis of those in schizophrenic states.
该研究在脑电图（EEG）时间微状态框架下评估了浅催眠和深催眠状态下的脑电机制。对健康志愿者在初始静息、浅催眠、深催眠及最终恢复阶段的多通道脑电图进行分析，将其分为四类EEG时间微状态。微状态由其在头部表面的电位分布图（“电位地形图”）的空间配置定义。由于不同的电位地形图必定由不同的活跃神经组件产生，因此合理推测它们也包含不同的脑功能。观察到的四类微状态与四种标准微状态A、B、C、D非常相似[柯尼希，T.等人。《神经影像学》，2002年；16: 41 - 8]，并相应进行了标记。我们预期微状态特征会从初始静息状态逐渐发展到浅催眠状态再到深催眠状态。但是，所有三个微状态参数（持续时间、每秒出现次数和时间覆盖百分比）在初始静息和最终恢复阶段的值介于浅催眠和深催眠这两种催眠状态的值之间。与浅催眠相比，深催眠状态下B类和D类微状态的持续时间、每秒出现次数和时间覆盖百分比均降低；这与A类和C类微状态相反，A类和C类微状态的所有三个参数值均增加。回顾其他条件下有关微状态的现有信息发现，从静息状态到浅催眠状态在某些方面的变化让人联想到冥想状态的变化，而从浅催眠状态到深催眠状态的变化则让人联想到精神分裂症状态下的变化。
