Application of Tsallis entropy to EEG: quantifying the presence of burst suppression after asphyxial cardiac arrest in rats.
Application of Tsallis entropy to EEG: quantifying the presence of burst suppression after asphyxial cardiac arrest in rats.
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DOI：
10.1109/tbme.2009.2029082
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发表时间：
2010-04
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影响因子：
--
通讯作者：
Thakor NV
中科院分区：
文献类型：
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作者：
Dandan Zhang;Jia X;Ding H;Ye D;Thakor NV
脑电图的爆发抑制（BS）活性是临床公认的脑功能障碍或脑损伤的标志。在窒息性心脏骤停（CA）后脑损伤的啮齿动物模型中进行的实验研究显示，复苏后不久出现BS，表现为等电和连续脑电图之间的过渡恢复模式。这些实验中的脑电图趋势表明，信号中存在不同程度的不确定性或随机性。为了量化脑电数据，采用Shannon熵和Tsallis熵（TsEn）进行分析。更具体地说，我们提出了一种基于熵的指标TsEn area （TsEnA）来揭示脑损伤后BS的存在和发展程度。详细阐述了TsEnA的方法和参数的选择。为了验证这一方法的有效性，15只大鼠进行了7分钟或9分钟的窒息性CA，研究了CA复苏后立即的脑电图记录，并用TsEnA进行了表征。结果表明，TsEnA与实验后使用完善的神经功能缺损评分对啮齿动物进行评估的结果具有良好的相关性（Pearson相关性= 0.86,p⪡0.01）。本研究表明，TsEnA可以可靠地量化BS脑电图的复杂动态，可作为客观估计CA后脑损伤严重程度的实验或临床工具。
Burst suppression (BS) activity in EEG is clinically accepted as a marker of brain dysfunction or injury. Experimental studies in a rodent model of brain injury following asphyxial cardiac arrest (CA) show evidence of BS soon after resuscitation, appearing as a transitional recovery pattern between isoelectricity and continuous EEG. The EEG trends in such experiments suggest varying levels of uncertainty or randomness in the signals. To quantify the EEG data, Shannon entropy and Tsallis entropy (TsEn) are examined. More specifically, an entropy-based measure named TsEn area (TsEnA) is proposed to reveal the presence and the extent of development of BS following brain injury. The methodology of TsEnA and the selection of its parameter are elucidated in detail. To test the validity of this measure, 15 rats were subjected to 7 or 9 min of asphyxial CA. EEG recordings immediately after resuscitation from CA were investigated and characterized by TsEnA. The results show that TsEnA correlates well with the outcome assessed by evaluating the rodents after the experiments using a well-established neurological deficit score (Pearson correlation = 0.86, p ⪡ 0.01). This research shows that TsEnA reliably quantifies the complex dynamics in BS EEG, and may be useful as an experimental or clinical tool for objective estimation of the gravity of brain damage after CA.