電刺激是一種常用於動物實驗來誘發顳葉癲癇的方法。大部分的分析方法採用傳統的頻域分析法，來計算腦電波的光譜特徵。在本文中，我們同時採用時間域分析法以及頻率域分析法來觀察癲癇腦波的發展，並探討腦波與癲癇程度之相關性。在實驗中，我們刺激大鼠的大腦顳葉前端的扁桃核來誘發顳葉癲癇。每次的測驗的腦波與動作都被記錄下來。我們將每次的測驗依照最嚴重的身體反應進行了分組與各別分析:階段1（輕度），階段2，階段4和階段5（重度）。本實驗觀察低頻段的腦電波（4〜30HZ），並將癲癇腦波（>4Hz; >60μV）進行形態和振幅的量化。我們歸納了每個癲癇階段的腦波特徵並比較階段之間的腦波差異處。實驗結果證明，隨著電刺激的增加，大鼠的運動反應從局部性發作發展到全身性發作。腦電波的棘波群數量和其幅度也越來越複雜。棘波群的複雜程度與癲癇嚴重性呈現高度正相關。本實驗呈現時間域分析法以及頻率域分析法的觀察結果，並將兩者相互比較。我們發現，在時間域上提出的量測方法能以比較清楚以及簡單的方式描繪出癲癇誘發的腦電波的瞬態變化。以此結論，除了頻域分析法外，時間域也是在研究癲癇腦電波的發展時相當優異的的方析法。

Kindling is a common method to induce temporal lobe epilepsy in animals. Each kindling evokes the excited nerve activities. Most of previous analysis applied conventional frequency domain analysis on the spectra characteristics of EEG recordings. However, frequency domain features hardly depict the dynamic portrait of afterdischarges (AD). In this study, we aim to study the development of epileptic transients of kindled-induced AD from seizure onset zone (SOZ) and its relation to the motor response.
Thirteen adult Wistar rats were used in the experiments. Kindling was achieved by stimulating the right basolateral amygdala. The trials were grouped and analyzed according to the severest seizure stages. Both frequency domain and time domain analysis results were provided. In frequency domain analysis, there are three frequency bands: lower frequency band (LFB: 0–9Hz); middle frequency band (MFB: 9–12Hz); and higher frequency band (HFB: 12–30Hz). In time domain analysis, morphology and amplitude of epileptic transients (>60μV; >4Hz) were observed
Motor responses showed progression from complex partial seizure to generalized seizure. The complexity of AD highly correlates to the severity of behavioral stage. Density and amplitude of evoked epileptic transients increase in the complexity as well as the duration during kindling procedure.
This work introduced frequency and time domain analysis methods. The results of both analysis methods were presented and compared. We found that, the time domain features can depict the clearer portraits of the evoked epileptic transients in epileptogenesis in a more straightforward and clearer aspect. The morphology and amplitude of epileptic transients of kindled-induced AD was quantified and discussed. The evidences suggest that time domain analysis can also be a preferable method in the study of the progression of epileptiform EEG in kindling process, besides frequency domain analysis.

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