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Altered Structure of Dynamic Electroencephalogram Oscillatory Pattern in Major Depression

机译:抑郁症患者动态脑电图振荡模式的变化结构

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摘要

Research on electroencephalogram (EEG) characteristics associated with major depressive disorder (MDD) has accumulated diverse neurophysiologic findings related to the content, topography, neurochemistry, and functions of EEG oscillations. Significant progress has been made since the first landmark EEG study on affective disorders by Davidson 35 years ago. A systematic account of these data is important and necessary for building a consistent neuropsychophysiologic model of MDD and other affective disorders. Given the extensive data on frequency-dependent functional significance of EEG oscillations, a frequency domain approach may reveal the types of brain functions involved and disturbed in MDD. In this review, we systematize and integrate diverse and often unconnected observations on the content, topography, neurochemistry, and functions of EEG oscillations involved in MDD within the general concept of an EEG oscillatory pattern.
机译:对与重度抑郁症(MDD)相关的脑电图(EEG)特征的研究已积累了与脑电图振荡的内容,地形,神经化学和功能相关的各种神经生理学发现。自35年前戴维森(Davidson)对情感障碍进行首次具有里程碑意义的EEG研究以来,已经取得了重大进展。这些数据的系统说明对于建立一致的MDD和其他情感障碍的神经心理生理模型非常重要和必要。鉴于有关脑电图的频率依赖性功能重要性的大量数据,频域方法可能揭示了MDD中涉及和干扰的脑功能类型。在这篇综述中,我们将脑电图振荡模式的一般概念内关于MDD中涉及的脑电图振荡的内容,形貌,神经化学和功能的各种且通常是不相关的观察结果进行系统化和整合。

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