Brain connectivity at different time-scales measured with EEG
Brain connectivity at different time-scales measured with EEG
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DOI：
10.1098/rstb.2005.1649
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发表时间：
2005-05-29
影响因子：
6.3
通讯作者：
Strik, WK
中科院分区：
文献类型：
--
作者：
Koenig, T;Studer, D;Strik, WK
我们概述了将多通道自发脑电图 (EEG) 分解为时间模式和地形分布集的不同方法。这里提出的所有方法都将头皮电场视为空间中的基本分析实体。在时间上，这些方法的分辨率在毫秒（时域分析）、亚秒（时域和频域分析）和秒（频域分析）之间。对于这些方法中的任何一种，我们都表明大部分数据可以用少量的地形分布来解释。从物理上讲，这意味着产生这些地形之一的大脑区域必须以共同的阶段活跃。如果多个大脑区域同时以相同的频率产生脑电图信号，那么它们很容易以同步模式产生脑电图信号。通过几个例子（包括联合脑电图和功能磁共振成像（fMRI））和对文献的选择性回顾来说明这一观点。研究结果是根据不同大脑区域之间通过同步振荡的短暂结合来讨论的，这可能构成形成短暂的、功能性神经认知网络的机制。
We present an overview of different methods for decomposing a multichannel spontaneous electroencephalogram (EEG) into sets of temporal patterns and topographic distributions. All of the methods presented here consider the scalp electric field as the basic analysis entity in space. In time, the resolution of the methods is between milliseconds (time-domain analysis), subseconds (time- and frequency-domain analysis) and seconds (frequency-domain analysis). For any of these methods, we show that large parts of the data can be explained by a small number of topographic distributions. Physically, this implies that the brain regions that generated one of those topographies must have been active with a common phase. If several brain regions are producing EEG signals at the same time and frequency, they have a strong tendency to do this in a synchronized mode. This view is illustrated by several examples (including combined EEG and functional magnetic resonance imaging (fMRI)) and a selective review of the literature. The findings are discussed in terms of short-lasting binding between different brain regions through synchronized oscillations, which could constitute a mechanism to form transient, functional neurocognitive networks.