Won Daehan, Kim Wonsuk, Chaovalitwongse W Art, Tsai Jeffrey J
Department of Industrial and Systems Engineering, University of Washington, Seattle, WA, USA.
Department of Radiology, University of California-Davis, Sacramento, CA, USA.
Clin Neurophysiol. 2017 Feb;128(2):340-348. doi: 10.1016/j.clinph.2016.12.008. Epub 2016 Dec 18.
Visual hyperexcitability in the form of abnormal contrast gain control has been shown in photosensitive epilepsy and idiopathic generalized epilepsies. We assessed the accuracy and reliability of measures of visual contrast gain control in discerning individuals with idiopathic generalized epilepsies from healthy controls.
Twenty-four adult patients with idiopathic generalized epilepsy and 32 neurotypical control subjects from two study sites participated in a prospective, cross-sectional study. We recorded steady-state visual evoked potentials to a wide range of contrasts of a flickering grating stimulus. The resultant response magnitude vs. contrast curves were fitted to a standard model of contrast response function, and the model parameters were used as input features to a linear classifier to separate patients from controls. Additionally we compared the relative contribution of model parameters towards the classification using a sparse feature-selection approach.
Classification accuracy was 80% or better. Sensitivity and specificity both were 80-85%. Cross validation confirmed robust classifier performance generalizable across the data from the two samples. Patients' relative lack of gain control at high contrasts was the most important information distinguishing patients from controls.
Individuals with idiopathic generalized epilepsy were distinguishable from the neurotypical with a high degree of accuracy and reliability by a reduction in gain control at high contrasts.
Gain control is an essential neural operation that regulates neuronal sensitivity to stimuli and may represent a novel biomarker of hyperexcitability.
在光敏性癫痫和特发性全身性癫痫中已显示出以异常对比度增益控制形式存在的视觉过度兴奋性。我们评估了视觉对比度增益控制测量在区分特发性全身性癫痫患者与健康对照者方面的准确性和可靠性。
来自两个研究地点的24名成年特发性全身性癫痫患者和32名神经典型对照受试者参与了一项前瞻性横断面研究。我们记录了对闪烁光栅刺激的广泛对比度的稳态视觉诱发电位。将所得的反应幅度与对比度曲线拟合到对比度响应函数的标准模型,并将模型参数用作线性分类器的输入特征,以区分患者和对照者。此外,我们使用稀疏特征选择方法比较了模型参数对分类的相对贡献。
分类准确率达到80%或更高。敏感性和特异性均为80 - 85%。交叉验证证实了分类器在两个样本数据上具有稳健且可推广的性能。患者在高对比度下相对缺乏增益控制是区分患者与对照者的最重要信息。
特发性全身性癫痫患者可通过高对比度下增益控制的降低与神经典型个体以高度的准确性和可靠性区分开来。
增益控制是一种调节神经元对刺激敏感性的基本神经操作,可能代表一种新的过度兴奋性生物标志物。