首页> 外文期刊>Neuroscience: An International Journal under the Editorial Direction of IBRO >Long-range temporal correlations in electroencephalographic oscillations: Relation to topography, frequency band, age and gender.
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Long-range temporal correlations in electroencephalographic oscillations: Relation to topography, frequency band, age and gender.

机译:脑电图振荡的长期时间相关性:与地形,频段,年龄和性别的关系。

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摘要

Presence of long-range temporal correlations in neuronal oscillations is thought to be beneficial for a reliable transfer of information in neuronal networks. In the present study long-range temporal correlations in electroencephalographic (EEG) neuronal oscillations were characterized with respect to their topography, frequency-band specificity (alpha and beta oscillations), gender and age. EEG was recorded in 91 normal subjects (age 20-65 years) in a resting condition. The amplitude of ongoing alpha and beta oscillations was extracted with band-pass filtering and Hilbert transform, and long-range temporal correlations were analyzed with detrended fluctuation analysis. The topography of long-range temporal correlations was comparable for alpha and beta oscillations, showing largest scaling exponents in the occipital and parietal areas. This topography was partially similar to that of the power distribution and a weak positive correlation was observed between long-range temporal correlations and power of neuronal oscillations. Long-range temporal correlations were stronger in alpha than beta oscillations, but only in a few electrode locations in the left hemisphere. In both frequency bands long-range temporal correlations were stronger in males than in females and were largely unaffected by the age of the subjects. It is hypothesized that the idling state of the occipital areas in the closed-eyes condition may explain both large power values and pronounced long-range temporal correlations in this region.
机译:人们认为,神经元振荡中存在长时程相关性对于在神经元网络中可靠地传递信息是有益的。在本研究中,脑电图(EEG)神经元振荡的长期时间相关性被描述为其地形,频带特异性(α和β振荡),性别和年龄。在91名正常受试者(年龄20-65岁)处于静止状态时记录了EEG。通过带通滤波和希尔伯特变换提取正在进行的α和β振荡的幅度,并通过去趋势波动分析来分析长期时间相关性。远程时间相关性的地形在α和β振荡方面具有可比性,在枕骨和顶叶区域显示出最大的缩放指数。这种形貌部分类似于功率分布的形貌,并且在远距离时间相关性和神经元振荡的功率之间观察到弱的正相关性。远距离时间相关性在α振荡中比在β振荡中强,但仅在左半球的几个电极位置中。在两个频带中,男性的远距离时间相关性强于女性,并且在很大程度上不受受试者年龄的影响。假设闭眼状态下枕骨区域的空转状态可以解释该区域中的大功率值和明显的远程时间相关性。

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