生物医学工程学杂志

生物医学工程学杂志

癫痫模型中痫样棘波自动检测的新算法及其应用

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癫痫的典型特征是神经元群体产生异常同步发放,在记录的神经电信号中呈现为痫样棘波。为了定量分析癫痫发生时的痫样棘波,本文设计了一种基于窗口的检测法用于自动检测大鼠海马 CA1 区急性癫痫模型的棘波信号,即群峰电位(PS),并计算其特征参数。实验结果表明,在钾离子通道拮抗剂 4-氨基吡啶(4-AP)和 γ-氨基丁酸 A 型受体拮抗剂印防己毒素(PTX)诱导的癫痫模型中,该算法可直接从原始宽频带记录信号中正确识别 PS 波。两种模型中的 PS 检出率分别为 94.2%±1.6%(n=11)和 95.9%±1.9%(n=12),且误检率分别为 3.5%±2.3%(n=11)和 4.8%±2.3%(n=12),远小于普通阈值法的误检率。比较 4-AP 和 PTX 模型的 PS 波特征,结果显示:4-AP 诱导的 PS 波具有较宽的波形,发放较分散,发放间隔主要分布于 100~700 ms 范围内。而 PTX 诱导的 PS 则呈现爆发式发放,发放率较高,发放间隔主要分布于 2~20 ms 范围内,使得每秒 PS 幅值之和显著大于 4-AP 模型。因此,PTX 模型的神经元群体同步发放活动比 4-AP 模型要强烈。总之,该棘波检测新算法可以正确识别和分析痫样棘波,为癫痫发生机制的研究和癫痫治疗新方法的评估提供了一种有用的数据分析工具。

Epilepsy is characterized by abnormally synchronized firing of neuronal populations, which is presented as epileptiform spikes in neural electrical signal recordings. In order to investigate the epileptiform spikes quantitatively, we designed a new window-based algorithm to automatically detect population spikes (PS) in acute epilepsy models in rat hippocampus CA1 region, and to calculate characteristic parameters of PS. Results show that the algorithm could recognize PS waveforms directly in wideband recording signals in epilepsy models induced by 4-aminopyridine (4-AP), a potassium channel blocker, or by picrotoxin (PTX), an antagonist of γ-aminobutyric acid A-type receptor. The PS detection ratios of the two epilepsy models were 94.2%±1.6% (n=11) and 95.9%±1.9% (n=12), respectively. The false positive ratios were 3.5%±2.3% (n=11) and 4.8%±2.3% (n=12), which were significantly lower than those of the conventional threshold method. Comparisons of the PS patterns between the 4-AP model and the PTX model showed that the PS of the 4-AP model had wider waveforms and fired more dispersedly with intervals mainly in the range of 100–700 ms. The PS of the PTX model fired as Burst with a higher firing rate and with intervals mainly in the range of 2–20 ms, resulting in a larger sum of spike amplitudes per second than the 4-AP model. Thus, the synchronous firing of neuronal populations in the PTX model was more intense than that in the 4-AP model. In conclusion, the new algorithm of PS detection can correctly detect and analyze epileptiform population spikes. It provides a useful tool of data analysis for investigating the underlying mechanism of seizure generation and for evaluating new therapeutics of epilepsy.

关键词: 癫痫模型; 群峰电位; 自动检测; 4-氨基吡啶; 印防己毒素

Key words: epilepsy model; population spike; automatic detection; 4-aminopyridine; picrotoxin

引用本文: 陈小千, 封洲燕, 郭哲杉, 周文杰, 王兆祥. 癫痫模型中痫样棘波自动检测的新算法及其应用. 生物医学工程学杂志, 2017, 34(4): 485-492. doi: 10.7507/1001-5515.201611037 复制

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