| Epilepsy is a common neurological disease with a large number of patients.And epilepsy is caused by the abnormal discharge of neurons in the brain,which brings a series of physical and social psychological problems to the patients.At present,drugs are still the first choice for the treatment of epilepsy.80% of patients can effectively suppress seizures by taking antiepileptic drugs daily.However,patients have to suffer from some of the strong side effects of drugs,such as memory loss and systemic organ damage.In particular,as the increasing of people’s quality of life,more and more people with epilepsy are eager to obtain a cure that can replace drugs and effectively stop epilepsy.In fact,surgical treatment of epilepsy has been clinically successful.Nevertheless,the current follow-up effect of surgical treatment for epilepsy is not well,and in particular,the success rate of a surgical procedure for intractable epilepsy is not satisfactory.The main difficulty lies in the current unclear mechanism of seizures and the accurate localization of epileptogenic zone.In recent years,some scholars have found that high frequency oscillations(HFOs)have a certain correlation with seizure onset zone(SOZ).That is,HFOs are closely related to the formation and seizure of epilepsy.HFOs may serve as a marker of epilepsy foci to guide clinical preoperative epilepsy localization,that may help to improve the positioning accuracy of epilepsy lesions and promote the success rate of clinical surgery.On the other hand,the discovery and application of HFOs can help us to understand the pathophysiological mechanisms of human brain activity,and then explore a preventive treatment.If we could predict the onset of epilepsy before a period of time,even ten seconds,it can remind patients to take preventive medications or take appropriate preventive measures to prevent accidents.Based on these two aspects,this paper has initially explored and studied the detection method of intracranial HFOs and its application in the localization of SOZ and epilepsy prediction.This paper mainly researchs on the following three parts:(1)The HFOs detection algorithm based on wavelet packet decomposition theory is proposed and implemented,and the detection of HFOs is achieved initially.After feature extraction of suspected HFOs signals,combining with BP neural network,the false discovery rate(FDR)decreased from 23.70% to 7.46%,effectively reducing the impact of high-frequency noise.(2)Combinng with the research of three patients with epilepsy,the results showed that HFOs were correlative with the SOZ.The analysis results of the three patients showed that the coincidence rate of the HFOs high incidence area and clinical epileptic foci were respectively 25%,28.6% and 21.4%.(3)By analyzing the average energy and frequency of occurrence of HFOs in a certain period of time,the application of HFOs in epilepsy prediction is explored.However,due to the limited number of cases,this article has not found that the average energy and frequency of occurrence have obvious characteristics in the pre-seizure period.In general,the study on the application of HFOs in epilepsy treatment is still in the primary and exploratory stage.Compared with the application of HFOs in the application of epilepsy prediction,the results of this study suggest that it may be more suitable for preoperative positioning of epilepsy lesions in order to improve the positioning accuracy and provide a powerful reference for the surgeon.What is worth mentioning is that in the course of this study,we encountered a lot of practical difficulties,including the collection and statistical study of large samples of clinical data.Many conclusions of this article on HFOs stem from a few patients,and extensive clinical applications currently require large-scale,multicenter,prospective studies.It is believed that with the continuous development of science and technology,many problems in the study of HFOs would be effectively solved,so that HFOs can be widely used in the study of brain function. |
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