通过计算多个虚拟通道来提高多焦视觉诱发电位结果的质量。
Improving the quality of multifocal visual evoked potential results by calculating multiple virtual channels.
机构信息
Department of Ophthalmology, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.
Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany.
出版信息
Jpn J Ophthalmol. 2011 Jul;55(4):396-400. doi: 10.1007/s10384-011-0040-4. Epub 2011 Jun 15.
PURPOSE
To introduce a method for improvement of multifocal VEP (mfVEP) recordings by prediction of waveforms at multiple positions on the surface of the skull.
METHODS
Fifteen healthy participants (mean age 24 ± 3.8 years) underwent mfVEP recordings from 3 surface positions. Two methods of a best-of-mfVEP approach were used and compared. In the first, a standard procedure, further data from 3 calculated channels were used. In the second approach, mfVEPs were obtained by using data derived from 40 virtual electrode positions on the basis of predictions from dipole source calculations.
RESULTS
The mean signal-to-noise ratios (SNRs) of the best-of-mfVEPs of both methods were compared. The SNR was significantly higher for mfVEP data using additional virtual recordings revealed by dipole source determination (2.87 vs. 3.36; P < 0.035).
CONCLUSION
We conclude that multichannel prediction of mfVEP responses based on dipole source calculation significantly improves the quality of the examination results compared with the currently prevalent standard method.
目的
介绍一种通过预测颅骨表面多个位置的波形来改善多焦点视觉诱发电位（mfVEP）记录的方法。
方法
15 名健康参与者（平均年龄 24 ± 3.8 岁）接受了来自 3 个表面位置的 mfVEP 记录。使用了两种最佳 mfVEP 方法并进行了比较。在第一种标准方法中，使用了 3 个计算通道的进一步数据。在第二种方法中，通过使用基于偶极子源计算的预测从 40 个虚拟电极位置获得 mfVEP。
结果
比较了两种方法的最佳 mfVEP 的平均信噪比（SNR）。使用偶极子源确定揭示的额外虚拟记录的 mfVEP 数据的 SNR 明显更高（2.87 对 3.36；P < 0.035）。
结论
我们得出结论，基于偶极子源计算的 mfVEP 反应的多通道预测与当前流行的标准方法相比，显著提高了检查结果的质量。
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