V. R. Raju, V. Malsoru, K. Srinivas, B. Rani, G. Madhukar
{"title":"Seizure epilepsy genesis and epileptogenic nodes in epileptic patients: A procedure","authors":"V. R. Raju, V. Malsoru, K. Srinivas, B. Rani, G. Madhukar","doi":"10.18231/j.ijn.2022.049","DOIUrl":null,"url":null,"abstract":"In this study we attempted to design, develop and substantiate a modern contemporary biomarker for epileptic (epilepsy) subjects (patients) neuronal-instability. Initial study is done on 91 subjects through the application of neuronal-unpredictability and/or variability of the marked e-SoZ as a metric to envisage and foresee the epileptic operational (surgical) outcome. the neural-instability predict (42/45) subjects unsuccess with surgery, by a total accuracy of 75% (predictive) when matched with subjective-clinicians accuracy at 49%(results-effective). We differentiate instable zonal areas (zones) which were not diagnosed in unsuccessful cases (i.e., unsuccessful outcomes). While compared with EEG features, the neural-variability outpaced in prognosis strength and, also construal, which support that neuronal delicacy as a bio-marker for the electro encephalography e-SoZ.","PeriodicalId":415114,"journal":{"name":"IP Indian Journal of Neurosciences","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IP Indian Journal of Neurosciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18231/j.ijn.2022.049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this study we attempted to design, develop and substantiate a modern contemporary biomarker for epileptic (epilepsy) subjects (patients) neuronal-instability. Initial study is done on 91 subjects through the application of neuronal-unpredictability and/or variability of the marked e-SoZ as a metric to envisage and foresee the epileptic operational (surgical) outcome. the neural-instability predict (42/45) subjects unsuccess with surgery, by a total accuracy of 75% (predictive) when matched with subjective-clinicians accuracy at 49%(results-effective). We differentiate instable zonal areas (zones) which were not diagnosed in unsuccessful cases (i.e., unsuccessful outcomes). While compared with EEG features, the neural-variability outpaced in prognosis strength and, also construal, which support that neuronal delicacy as a bio-marker for the electro encephalography e-SoZ.