Prediction of vagal nerve stimulation efficacy - validation of statistic model on external data set, pilot study
| Authors | |
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| Year of publication | 2020 |
| Type | Conference abstract |
| MU Faculty or unit | |
| Citation | |
| Description | Vagal nerve stimulation (VNS) offers a possibility for a substantial seizure reduction in approximately 50% of implanted patients. However, there is a large group of patients who do not profit significantly from this therapy. At the moment, there is no widelyaccepted method for prediction of VNS efficacy based on pre-implantation data. Our group has developed and published a statistic classifier based on pre-implantation routine EEG, which was able to predict VNS response in a given patient with high accuracy. The crucial limitation of our previous work was its monocentric nature and the use of only one type of EEG recording system. |
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