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大鼠经主成分分析后在清醒、慢波睡眠和异相睡眠期间的脑电图频段

EEG bands during wakefulness, slow-wave, and paradoxical sleep as a result of principal component analysis in the rat.

作者信息

Corsi-Cabrera M, Pérez-Garci E, Del Rio-Portilla Y, Ugalde E, Guevara M A

机构信息

Facultad de Psicología, Posgrado, UNAM, Mexico, DF Mexico.

出版信息

Sleep. 2001 Jun 15;24(4):374-80. doi: 10.1093/sleep/24.4.374.

Abstract

Rat EEG has been empirically divided in bands that frequently do not correspond with EEG generators nor with the functional meaning of EEG rhythms. Power spectra from wakefulness (W), slow-wave sleep (SWS), and paradoxical sleep (PS) of Wistar rats were submitted to Principal Component Analyses (PCA) to investigate which frequencies are covariant. Three independent eigenvectors were identified for SWS: a band between 1-6, an intermediate band between 7-15, and a fast band between 16-32 Hz (90.74% of the variance); two independent eigenvectors were extracted for PS: slow frequencies between 1-6 covarying together with frequencies between 11-16 Hz, and activity between 6-10 covarying together with fast frequencies between 17-32 Hz (80.38% of the variance); four eigen-vectors were obtained for W: 3-7, 8-9, 10-21 and 21-32 Hz (81.47% of the variance). Vigilance states showed significant differences in AP from 1 to 22 Hz. PCA extracted broad bands different for each vigilance state, which included the most representative EEG activities characteristic of them. These results indicate that during SWS, slow oscillations include frequencies up to 6 Hz, and spindle oscillations frequencies down to 7 Hz. No alpha frequencies were identified as an independent band. Frequencies within theta and beta were gathered in the same eigenvector during PS and in different eigenvectors during W suggesting coordinated activation of hippocampal and cortical systems during PS. These bands are consistent with the underlying neurophysiological mechanisms of sleep and wakefulness and with firing frequencies of generators of rhythmic activity obtained in cellular studies in animals.

摘要

根据经验,大鼠脑电图被划分为不同频段,这些频段通常与脑电图发生器以及脑电节律的功能意义并不对应。对Wistar大鼠清醒状态(W)、慢波睡眠(SWS)和异相睡眠(PS)的功率谱进行主成分分析(PCA),以研究哪些频率是协变的。在慢波睡眠中确定了三个独立的特征向量:1 - 6赫兹之间的频段、7 - 15赫兹之间的中间频段以及16 - 32赫兹之间的快速频段(占方差的90.74%);在异相睡眠中提取了两个独立的特征向量:1 - 6赫兹之间的低频与11 - 16赫兹之间的频率共同协变,6 - 10赫兹之间的活动与17 - 32赫兹之间的高频共同协变(占方差的80.38%);在清醒状态下获得了四个特征向量:3 - 7赫兹、8 - 9赫兹、10 - 21赫兹和21 - 32赫兹(占方差的81.47%)。警觉状态在1至22赫兹的平均功率(AP)上表现出显著差异。主成分分析提取了每个警觉状态不同的宽带,其中包括它们最具代表性的脑电活动特征。这些结果表明,在慢波睡眠期间,慢振荡包括高达6赫兹的频率,纺锤体振荡频率低至7赫兹。未将α频率识别为一个独立的频段。在异相睡眠期间,θ波和β波频段内的频率聚集在同一特征向量中,而在清醒状态下则分布在不同的特征向量中,这表明在异相睡眠期间海马体和皮质系统存在协同激活。这些频段与睡眠和清醒的潜在神经生理机制以及在动物细胞研究中获得的节律性活动发生器的放电频率一致。

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