Myers Mark H, Padmanabha Akshay, Hossain Gahangir, de Jongh Curry Amy L, Blaha Charles D
Department of Anatomy and Neurobiology, University of Tennessee Health Science Center Memphis, TN, USA.
Department of Electrical and Computer Science, Massachusetts Institute of Technology Boston, MA, USA.
Front Hum Neurosci. 2016 Mar 8;10:80. doi: 10.3389/fnhum.2016.00080. eCollection 2016.
A robust seizure prediction methodology would enable a "closed-loop" system that would only activate as impending seizure activity is detected. Such a system would eliminate ongoing stimulation to the brain, thereby eliminating such side effects as coughing, hoarseness, voice alteration, and paresthesias (Murphy et al., 1998; Ben-Menachem, 2001), while preserving overall battery life of the system. The seizure prediction and detection algorithm uses Phase/Amplitude Lock Values (PLV/ALV) which calculate the difference of phase and amplitude between electroencephalogram (EEG) electrodes local and remote to the epileptic event. PLV is used as the seizure prediction marker and signifies the emergence of abnormal neuronal activations through local neuron populations. PLV/ALVs are used as seizure detection markers to demarcate the seizure event, or when the local seizure event has propagated throughout the brain turning into a grand-mal event. We verify the performance of this methodology against the "CHB-MIT Scalp EEG Database" which features seizure attributes for testing. Through this testing, we can demonstrate a high degree of sensivity and precision of our methodology between pre-ictal and ictal events.
一种强大的癫痫发作预测方法将促成一个“闭环”系统，该系统仅在检测到即将发生的癫痫发作活动时才会激活。这样的系统将消除对大脑的持续刺激，从而消除诸如咳嗽、声音嘶哑、声音改变和感觉异常等副作用（墨菲等人，1998年；本-梅纳赫姆，2001年），同时延长系统的整体电池寿命。癫痫发作预测和检测算法使用相位/幅度锁定值（PLV/ALV），该值计算癫痫事件局部和远处脑电图（EEG）电极之间的相位和幅度差异。PLV用作癫痫发作预测标记，通过局部神经元群体表示异常神经元激活的出现。PLV/ALV用作癫痫发作检测标记，以划定癫痫发作事件，或当局部癫痫发作事件扩散到整个大脑转变为全身性癫痫发作事件时。我们针对具有癫痫发作属性以供测试的“CHB-MIT头皮脑电图数据库”验证了该方法的性能。通过此测试，我们可以证明我们的方法在发作前和发作事件之间具有高度的敏感性和精确性。
