Mazinani Babac A E, Waberski Till D, van Ooyen Andre, Walter Peter
Department of Ophthalmology, Universitätsklinikum Aachen, Pauwelsstr. 30, Aachen, 52057, Germany.
Doc Ophthalmol. 2008 May;116(3):207-16. doi: 10.1007/s10633-007-9083-8. Epub 2007 Oct 3.
Purpose of this study was to introduce a mathematical model which allows the calculation of a source dipole as the origin of the evoked activity based on the data of three simultaneously recorded VEPs from different locations at the scalp surface to predict field potentials at any neighboring location and to validate this model by comparison with actual recordings. In 10 healthy subjects (25-38, mean 29 years) continuous VEPs were recorded via 96 channels. On the base of the recordings at the positions POz', O1' and O2', a source dipole vector was calculated for each time point of the recordings and VEP responses were back projected for any of the 96 electrode positions. Differences between the calculated and the actually recorded responses were quantified by coefficients of variation (CV). The prediction precision and response size depended on the distance between the electrode of the predicted response and the recording electrodes. After compensating this relationship using a polynomial function, the CV of the mean difference between calculated and recorded responses of the 10 subjects was 2.8 +/- 1.2%. In conclusion, the "Mini-Brainmapping" model can provide precise topographical information with minimal additional recording efforts with good reliability. The implementation of this method in a routine diagnostic setting as an "easy-to-do" procedure would allow to examine a large number of patients and normal subjects in a short time, and thus, a solid data base could be created to correlate well defined pathologies with topographical VEP changes.
本研究的目的是引入一种数学模型,该模型能够根据头皮表面不同位置同时记录的三个视觉诱发电位(VEP)数据计算出作为诱发活动起源的源偶极子,以预测任何相邻位置的场电位,并通过与实际记录进行比较来验证该模型。在10名健康受试者(年龄25 - 38岁,平均29岁)中,通过96个通道连续记录VEP。基于在POz'、O1'和O2'位置的记录,为记录的每个时间点计算源偶极子向量,并将VEP反应反向投影到96个电极位置中的任何一个。通过变异系数(CV)对计算响应与实际记录响应之间的差异进行量化。预测精度和响应大小取决于预测响应电极与记录电极之间的距离。使用多项式函数补偿这种关系后,10名受试者计算响应与记录响应之间平均差异的CV为2.8 +/- 1.2%。总之,“微型脑图谱”模型能够以最小的额外记录工作量提供精确的地形信息,且可靠性良好。将该方法作为一种“易于操作”的程序应用于常规诊断环境中,将能够在短时间内检查大量患者和正常受试者,从而可以创建一个坚实的数据库,将明确的病理学与地形VEP变化相关联。