An electroencephalographic fingerprint of human sleep
An electroencephalographic fingerprint of human sleep
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DOI：
10.1016/j.neuroimage.2005.01.020
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发表时间：
2005-05-15
期刊：
影响因子：
5.7
通讯作者：
Bertini, M
中科院分区：
文献类型：
--
作者：
De Gennaro, L;Ferrara, M;Bertini, M
稳态和昼夜节律过程是人类睡眠的基本机制，其挑战了睡眠需求的大的个体差异或昼夜节律类型的差异的常识。然而，由于睡眠研究主要集中在群体测量上，这种方法强调受试者之间的相似性，因此对正常睡眠中个体差异的生物学基础仍然知之甚少。在目前的工作中，我们评估了一系列的EEG频率，包括西格玛活动在非REM睡眠（8.0-15.5赫兹范围）在一组10名受试者谁参加了慢波睡眠（SWS）剥夺研究的个体差异。我们发现，就像一个“指纹”，一个特定的地形分布的脑电图（EEG）功率沿着前后皮质轴区分每个人在非快速眼动睡眠。这种个人EEG特征在连续六个晚上基本上是不变的，其特征在于实验诱导的睡眠结构的变化。一个可能的假设是，这些EEG不变性可能与基因决定的功能性大脑解剖结构的个体差异有关，而不是睡眠依赖机制。(c)2005年爱思唯尔公司All rights reserved.
Homeostatic and circadian processes are basic mechanisms of human sleep which challenge the common knowledge of large individual variations in sleep need or differences in circadian types. However, since sleep research has mostly focused on group measures, an approach which emphasizes the similarities between subjects, the biological foundations of the individual differences in normal sleep are still poorly understood. In the present work, we assessed individual differences in a range of EEG frequencies including sigma activity during non-REM sleep (8.0-15.5 Hz range) in a group of 10 subjects who had participated in a slow-wave sleep (SWS) deprivation study. We showed that, like a "fingerprint", a particular topographic distribution of the electroencephalogram (EEG) power along the antero-posterior cortical axis distinguishes each individual during non-REM sleep. This individual EEG-trait is substantially invariant across six consecutive nights characterized by large experimentally induced changes of sleep architecture. One possible hypothesis is that these EEG invariances can be related to individual differences in genetically determined functional brain anatomy, rather than to sleep-dependent mechanisms. (c) 2005 Elsevier Inc. All rights reserved.