Application of a novel measure of EEG non-stationarity as 'Shannon- entropy of the peak frequency shifting' for detecting residual abnormalities in concussed individuals.
Application of a novel measure of EEG non-stationarity as 'Shannon- entropy of the peak frequency shifting' for detecting residual abnormalities in concussed individuals.
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DOI：
10.1016/j.clinph.2010.12.042
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发表时间：
2011-07
期刊：
影响因子：
--
通讯作者：
Slobounov S
中科院分区：
文献类型：
--
作者：
Cao C;Slobounov S
本文的目的是提出一种新的衡量脑电信号非平稳性的指标，即峰值频移的Shannon熵。将该方法与传统的时间域非平稳性评估方法进行比较，并将其应用于学生运动员与年龄匹配的正常对照组的单次轻度创伤性脑损伤(MTBI)前后的脑电数据集，证明了该方法的可行性。与以前提出的信号非平稳性度量方法不同，这种新的度量方法是基于脑电信号的主频随时间的移动，而不是像以前提出的信号非平稳性度量方法那样在时间-频率平面上评估功率密度分布。我们应用SEPFS测量来评估受试者在遭受mTBI之前和之后不久的脑电非平稳性。265名mTBI高危学生运动员在脑震荡发作前进行测试，作为基线。在这个受试池中，30名患有mTBI的运动员在伤后第30天重新进行了测试。另外的受试者池(没有脑震荡病史的学生运动员，n=30)被招募并在相同的30天间隔内重新测试。在静坐闭眼状态下采集32个通道的脑电信号。结果表明，mTBI患者的SEPFS值显著降低。具体地说，在枕叶、颞叶和中央脑区观察到脑电非平稳性降低，这表明脑震荡患者可能存在残留的脑功能障碍。使用脑电非平稳性的传统时域分析也观察到了类似但不太统计显著的趋势。该方法至少有两个优点：(1)它受脑电信号的时频表示的有限分辨率的影响较小；(2)它考虑了以前提出的非平稳性度量中没有考虑到的脑电信号的神经特征。这一新方法可能被用作评估mTBI所致脑功能改变的补充工具。
The aim of this report was to propose a novel measure of nonstationarity of EEG signals, named Shannon entropy of the peak frequency shifting (SEPFS). The feasibility of this method was documented comparing this measure with traditional time domain assessment of nonstationarity and its application to EEG data sets obtained from student-athletes before and after suffering a single episode of mild traumatic brain injury (mTBI) with age-matched normal controls. Instead of assessing the power density distribution on the time-frequency plane, like previously proposed measures of signal nonstationarity, this new measure is based on the shift of the dominant frequency of the EEG signal over time. We applied SEPFS measure to assess the properties of EEG nonstationarity in subjects before and shortly after they suffered mTBI. Student–athletes at high risk for mTBI (n = 265) were tested prior to concussive episodes as a baseline. From this subject pool, 30 athletes who suffered from mTBI were re-tested on day 30 post-injury. Additional subjects pool (student-athletes without history of concussion, n=30) were recruited and test-retested within the same 30 day interval. Thirty-two channels EEG signals were acquired in sitting eyes closed condition. The results showed that the SEPFS values significantly decreased in subjects suffering from mTBI. Specifically, reduced EEG nonstationarity was observed in occipital, temporal and central brain areas, indicating the possibility of residual brain dysfunctions in concussed individuals. A similar but less statistically significant trend was observed using traditional time domain analysis of EEG nonstationarity. The proposed measure has at least two merits of interest: (1) it is less affected by the limited resolution of time-frequency representation of the EEG signal; (2) it takes into account the neural characteristics of the EEG signal that have not been considered in previously proposed measures of nonstationarity. This new method may potentially be used as a complementary tool to assess the alteration of brain functions as a result of mTBI.
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