{"title":"不同脑叶癫痫的定量脑电图表现。","authors":"Yuepeng Wu, Min Gao, Yu Cui, Liang Dong, Jingjun Zhang, Meihua Chen","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To investigate the quantitative electroencephalography features of different brain lobe epilepsy.</p><p><strong>Methods: </strong>The electroencephalogram data of adult patients diagnosed with epilepsy in the epilepsy clinic of the Second Affiliated Hospital of Shandong First Medical University from January 1, 2012 to December 31, 2016 were collected, 58 cases in total. They included 28 cases of frontal lobe epilepsy,12 cases of temporal lobe epilepsy, 9 cases of occipital lobe epilepsy, and 9 cases of parietal lobe epilepsy. Quantitative electroencephalography analysis technique was used to obtain the δ, θ, α1, α2, β1 and β2 power spectrum value in patients with different brain lobe epilepsy. The δ, θ, α, and β relative power spectrum value are obtained by calculation. By comparing the quantitative electroencephalography indicators of the affected side and the healthy side, the quantitative electroencephalography characteristics of epilepsy in different lobes were obtained.</p><p><strong>Results: </strong>θ power spectrum can be increased in the discharge lead of temporal lobe epilepsy. δ and θ power spectrum, δ relative power spectrum can be increased in the discharge lead of occipital lobe epilepsy.</p><p><strong>Conclusion: </strong>The increase in slow wave power spectrum in QEEG can serve as an auxiliary diagnosis for temporal lobe epilepsy and occipital lobe epilepsy.</p>","PeriodicalId":94154,"journal":{"name":"Neuro endocrinology letters","volume":"44 6","pages":"384-390"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantitative electroencephalography performance of different brain lobe epilepsy.\",\"authors\":\"Yuepeng Wu, Min Gao, Yu Cui, Liang Dong, Jingjun Zhang, Meihua Chen\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To investigate the quantitative electroencephalography features of different brain lobe epilepsy.</p><p><strong>Methods: </strong>The electroencephalogram data of adult patients diagnosed with epilepsy in the epilepsy clinic of the Second Affiliated Hospital of Shandong First Medical University from January 1, 2012 to December 31, 2016 were collected, 58 cases in total. They included 28 cases of frontal lobe epilepsy,12 cases of temporal lobe epilepsy, 9 cases of occipital lobe epilepsy, and 9 cases of parietal lobe epilepsy. Quantitative electroencephalography analysis technique was used to obtain the δ, θ, α1, α2, β1 and β2 power spectrum value in patients with different brain lobe epilepsy. The δ, θ, α, and β relative power spectrum value are obtained by calculation. By comparing the quantitative electroencephalography indicators of the affected side and the healthy side, the quantitative electroencephalography characteristics of epilepsy in different lobes were obtained.</p><p><strong>Results: </strong>θ power spectrum can be increased in the discharge lead of temporal lobe epilepsy. δ and θ power spectrum, δ relative power spectrum can be increased in the discharge lead of occipital lobe epilepsy.</p><p><strong>Conclusion: </strong>The increase in slow wave power spectrum in QEEG can serve as an auxiliary diagnosis for temporal lobe epilepsy and occipital lobe epilepsy.</p>\",\"PeriodicalId\":94154,\"journal\":{\"name\":\"Neuro endocrinology letters\",\"volume\":\"44 6\",\"pages\":\"384-390\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuro endocrinology letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuro endocrinology letters","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantitative electroencephalography performance of different brain lobe epilepsy.
Objective: To investigate the quantitative electroencephalography features of different brain lobe epilepsy.
Methods: The electroencephalogram data of adult patients diagnosed with epilepsy in the epilepsy clinic of the Second Affiliated Hospital of Shandong First Medical University from January 1, 2012 to December 31, 2016 were collected, 58 cases in total. They included 28 cases of frontal lobe epilepsy,12 cases of temporal lobe epilepsy, 9 cases of occipital lobe epilepsy, and 9 cases of parietal lobe epilepsy. Quantitative electroencephalography analysis technique was used to obtain the δ, θ, α1, α2, β1 and β2 power spectrum value in patients with different brain lobe epilepsy. The δ, θ, α, and β relative power spectrum value are obtained by calculation. By comparing the quantitative electroencephalography indicators of the affected side and the healthy side, the quantitative electroencephalography characteristics of epilepsy in different lobes were obtained.
Results: θ power spectrum can be increased in the discharge lead of temporal lobe epilepsy. δ and θ power spectrum, δ relative power spectrum can be increased in the discharge lead of occipital lobe epilepsy.
Conclusion: The increase in slow wave power spectrum in QEEG can serve as an auxiliary diagnosis for temporal lobe epilepsy and occipital lobe epilepsy.
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