Magnetoencephalography Demonstrates Multiple Asynchronous Generators During Human Sleep Spindles
Magnetoencephalography Demonstrates Multiple Asynchronous Generators During Human Sleep Spindles
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DOI：
10.1152/jn.00198.2010
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发表时间：
2010-07-01
影响因子：
2.5
通讯作者：
Halgren, Eric
中科院分区：
文献类型：
--
作者：
Dehghani, Nima;Cash, Sydney S.;Halgren, Eric
张文辉，张文辉，张文辉，张文辉.脑磁图显示了人类睡眠纺锤波期间的多个异步发电机。J Neurophysiol 104：179-188，2010.首次发表于2010年4月28日; doi：10.1152/jn.00198.2010。睡眠纺锤波类似于在第二阶段睡眠期间发生的10-16 Hz活动的1秒突发。纺锤体在动物的皮质和丘脑以及人类的头皮上高度同步，这意味着相应地存在广泛且同步的皮质发生器。然而，以前的研究已经注意到偶尔分离的脑磁图（MEG）从脑电图在纺锤波，虽然这种现象的详细研究一直缺乏。我们系统地比较了高密度MEG和EEG记录在自然发生的纺锤体在健康人。正如预期的那样，脑电图在整个头皮上是高度连贯的，在纺锤体上具有一致的地形。相反，同时记录的脑磁图是不同步的，但在不同的位置和主轴的振幅和相位变化很大。总体而言，在纺锤波期间，EEG传感器对之间的平均相干性类似于0.7，而MEG相干性类似于0.3。而2个主成分解释了近似50%的EEG纺锤波方差，近似15所需的MEG。MEG的每个PCA分量通常涉及几个广泛分布的位置，这些位置彼此相对一致。这些结果表明，与目前基于动物实验的模型相比，多个异步神经发生器在正常人类睡眠纺锤波期间是活跃的，并且对MEG是可见的。这些多个源可能在不同的EEG传感器中充分重叠以呈现同步。可替代地，EEG记录可以反映MEG不太可见的弥散分布的同步发电机。一个有趣的可能性是，脑磁图优先记录从局灶核心丘脑皮质系统在纺锤波，和脑电图从分布式矩阵系统。
Dehghani N, Cash SS, Rossetti AO, Chen CC, Halgren E. Magnetoencephalography demonstrates multiple asynchronous generators during human sleep spindles. J Neurophysiol 104: 179-188, 2010. First published April 28, 2010; doi:10.1152/jn.00198.2010. Sleep spindles are similar to 1 s bursts of 10-16 Hz activity that occur during stage 2 sleep. Spindles are highly synchronous across the cortex and thalamus in animals, and across the scalp in humans, implying correspondingly widespread and synchronized cortical generators. However, prior studies have noted occasional dissociations of the magnetoencephalogram (MEG) from the EEG during spindles, although detailed studies of this phenomenon have been lacking. We systematically compared high-density MEG and EEG recordings during naturally occurring spindles in healthy humans. As expected, EEG was highly coherent across the scalp, with consistent topography across spindles. In contrast, the simultaneously recorded MEG was not synchronous, but varied strongly in amplitude and phase across locations and spindles. Overall, average coherence between pairs of EEG sensors was similar to 0.7, whereas MEG coherence was similar to 0.3 during spindles. Whereas 2 principle components explained similar to 50% of EEG spindle variance, similar to 15 were required for MEG. Each PCA component for MEG typically involved several widely distributed locations, which were relatively coherent with each other. These results show that, in contrast to current models based on animal experiments, multiple asynchronous neural generators are active during normal human sleep spindles and are visible to MEG. It is possible that these multiple sources may overlap sufficiently in different EEG sensors to appear synchronous. Alternatively, EEG recordings may reflect diffusely distributed synchronous generators that are less visible to MEG. An intriguing possibility is that MEG preferentially records from the focal core thalamocortical system during spindles, and EEG from the distributed matrix system.