Walter Reed Army Institute of Research, USA.
J Neurosci Methods. 2009 Oct 30;184(1):176-83. doi: 10.1016/j.jneumeth.2009.07.020. Epub 2009 Jul 24.
The organophosphorous compound soman is an acetylcholinesterase inhibitor that causes damage to the brain. Exposure to soman causes neuropathology as a result of prolonged and recurrent seizures. In the present study, long-term recordings of cortical EEG were used to develop an unbiased means to quantify measures of seizure activity in a large data set while excluding other signal types. Rats were implanted with telemetry transmitters and exposed to soman followed by treatment with therapeutics similar to those administered in the field after nerve agent exposure. EEG, activity and temperature were recorded continuously for a minimum of 2 days pre-exposure and 15 days post-exposure. A set of automatic MATLAB algorithms have been developed to remove artifacts and measure the characteristics of long-term EEG recordings. The algorithms use short-time Fourier transforms to compute the power spectrum of the signal for 2-s intervals. The spectrum is then divided into the delta, theta, alpha, and beta frequency bands. A linear fit to the power spectrum is used to distinguish normal EEG activity from artifacts and high amplitude spike wave activity. Changes in time spent in seizure over a prolonged period are a powerful indicator of the effects of novel therapeutics against seizures. A graphical user interface has been created that simultaneously plots the raw EEG in the time domain, the power spectrum, and the wavelet transform. Motor activity and temperature are associated with EEG changes. The accuracy of this algorithm is also verified against visual inspection of video recordings up to 3 days after exposure.
有机磷化合物沙林是一种乙酰胆碱酯酶抑制剂，会对大脑造成损伤。沙林暴露会导致神经病理学，这是由于长时间和反复的癫痫发作引起的。在本研究中，使用皮质脑电图的长期记录来开发一种无偏的方法，以便在排除其他信号类型的情况下，对大量数据集的癫痫活动进行定量测量。大鼠被植入遥测发射器，并暴露于沙林，然后用类似于在神经毒剂暴露后在现场使用的治疗方法进行治疗。脑电图、活动和温度被连续记录至少 2 天暴露前和 15 天暴露后。已经开发了一组自动 MATLAB 算法来去除伪影并测量长期脑电图记录的特征。该算法使用短时傅里叶变换来计算信号的功率谱，间隔为 2 秒。然后将频谱分为 delta、theta、alpha 和 beta 频段。对功率谱进行线性拟合，以区分正常脑电图活动与伪影和高振幅尖波活动。长时间内癫痫发作时间的变化是评估新型治疗方法对癫痫发作影响的有力指标。创建了一个图形用户界面，可同时绘制时域中的原始脑电图、功率谱和小波变换。运动活动和温度与脑电图变化相关。该算法的准确性也通过对暴露后 3 天内的视频记录进行视觉检查得到了验证。
