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The Change of Resting EEG in Depressive Disorders

机译:抑郁症患者静息性脑电图的变化

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摘要

Recent research suggested that the resting EEG could provide a biomarker for the depressive disorders and an objective index for the respond effect to treatment. To provide further evidence of the relationship of EEG signal and depression, we reported a pilot result based on the resting EEG. By recording the resting EEG signals in the three groups of normal control, unmedicated depressed patients and medicated depressed patients, after the analysis of fast fourier transform (FFT) to change time base signal into frequency information, we found that signals in many frequency bands of brain waves were related to the value of Beck Depression Inventory (BDI), especially in the Beta frequency band and in the frontal area in the unmedicated depressed group. Furthermore, we also found that comparing to the normal controls, the unmedicated depressed patients showed a stronger asymmetry in many frequency bands both in the frontal and parietal regions, which meant that the EEG signals were weaker in the left brain than in the right in the unmedicated depressed group.
机译:最近的研究表明,静息的脑电图可以为抑郁症提供生物标志,并为治疗反应提供客观指标。为了提供脑电信号与抑郁症之间关系的进一步证据,我们报告了基于静息脑电图的试验结果。通过在正常对照组,未药物治疗的抑郁症患者和药物治疗的抑郁症患者的三组中记录静息EEG信号,分析快速傅里叶变换(FFT)将时基信号转换为频率信息后,我们发现在脑电波与贝克抑郁量表(Beck Depression Inventory,BDI)的价值有关,尤其是在非药物抑郁组的Beta频段和额叶区域。此外,我们还发现,与正常对照组相比,未接受药物治疗的抑郁症患者在额叶和顶叶区域的许多频段均表现出更强的不对称性,这意味着左脑的EEG信号弱于右脑的信号。未经药物治疗的抑郁症组。

著录项

  • 来源
    《Brain and health informatics》|2013年|52-61|共10页
  • 会议地点 Maebashi(JP)
  • 作者单位

    International WIC Institute, Beijing University of Technology, China ,Beijing Key Laboratory of MRI and Brain Informatics, China;

    International WIC Institute, Beijing University of Technology, China ,Beijing Key Laboratory of MRI and Brain Informatics, China;

    International WIC Institute, Beijing University of Technology, China ,Beijing Key Laboratory of MRI and Brain Informatics, China;

    International WIC Institute, Beijing University of Technology, China ,Beijing Key Laboratory of MRI and Brain Informatics, China;

    International WIC Institute, Beijing University of Technology, China ,Beijing Key Laboratory of MRI and Brain Informatics, China;

    Beijing Anding Hospital of the Capital University of Medical Sciences, China;

    Beijing Anding Hospital of the Capital University of Medical Sciences, China;

    Beijing Anding Hospital of the Capital University of Medical Sciences, China;

    International WIC Institute, Beijing University of Technology, China ,Beijing Key Laboratory of MRI and Brain Informatics, China;

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  • 正文语种 eng
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