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Identification of a common brain network associated with lesional epilepsy
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作者 Di Wu Jinghui Liu liankun ren 《Acta Epileptologica》 2023年第4期280-282,共3页
Stroke is the leading cause of neurological diseases globally.Remarkably,epilepsy is a common complication of stroke,which greatly impairs the quality of life of patients and poses a significant clinical challenge.The... Stroke is the leading cause of neurological diseases globally.Remarkably,epilepsy is a common complication of stroke,which greatly impairs the quality of life of patients and poses a significant clinical challenge.Therefore,a better understanding of the risk factors for poststroke epilepsy is crucial.A recent study published in JAMA Neurology studied the brain network associated with poststroke epilepsy in a group of 76 patients compared to a cohort of 625 control patients using lesion mapping techniques.The results showed that negative functional connectivity between lesion locations and regions in the basal ganglia and cerebellum confers a higher risk of developing epilepsy after stroke.The lesion network nodes associated with epilepsy were identical across different lesion types including hematomas,traumas,tumors,and tubers.Furthermore,the poststroke epilepsy brain network has potential therapeutic relevance to deep brain stimulation(DBS).In a cohort of 30 patients,the functional connectivity between anterior thalamic DBS sites and the lesion network nodes was found to correlate with seizure control after DBS.In summary,the finding provides a novel method for predicting the risk of poststroke epilepsy in patients and may guide brain stimulation treatments for epilepsy. 展开更多
关键词 Poststroke epilepsy Lesion network mapping Brain network NEUROMODULATION
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Emerging personalized virtual brain models: next-generation resection neurosurgery for drug-resistant epilepsy?
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作者 Qiao Wang Guangyuan Jin +2 位作者 Tao Yu Fabrice Bartolomei liankun ren 《Acta Epileptologica》 2023年第3期185-187,共3页
Recently,a novel workflow known as the virtual epileptic patient(VEP)has been proposed by a research team from Aix Marseille Universitéin their papers published in Lancet Neurology,Science Translational Medicine ... Recently,a novel workflow known as the virtual epileptic patient(VEP)has been proposed by a research team from Aix Marseille Universitéin their papers published in Lancet Neurology,Science Translational Medicine and Epilepsia.This method involves creating an individualized virtual brain model based on computational modelling,which can facilitate clinical decision-making by estimating the epileptogenic zone and performing the virtual surgery.Here,we summarize brief workflow,strengths,and limitations of VEP,as well as its performance in a retrospective study of 53 patients with drug-resistant focal epilepsy who underwent stereoelectroencephalography.A large-scale clinical trial(NCT03643016)is underway to further assess VEP,which is expected to enroll 356 patients prospectively.As supporting evidence accumulates,the clinical application of VEP has the potential to improve clinical practice,leading to better outcomes and qualities of life of patients. 展开更多
关键词 Drug-resistant focal epilepsy Personalized virtual brain models Machine learning Epileptogenic zone networks Stereoelectroencephalography Virtual surgery
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Expert consensus on clinical applications of high-frequency oscillations in epilepsy
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作者 Yuping Wang Dong Zhou +11 位作者 Xiaofeng Yang Xin Xu liankun ren Tao Yu Wenjing Zhou Xiaoqiu Shao Zhixian Yang Shuang Wang Dezhi Cao Chunyan Liu Shang Yeong Kwan Jing Xiang 《Acta Epileptologica》 2020年第1期59-68,共10页
Studies in animal models of epilepsy and pre-surgical patients have unanimously found a strong correlation between high-frequency oscillations(HFOs,>80 Hz)and the epileptogenic zone,suggesting that HFOs can be a po... Studies in animal models of epilepsy and pre-surgical patients have unanimously found a strong correlation between high-frequency oscillations(HFOs,>80 Hz)and the epileptogenic zone,suggesting that HFOs can be a potential biomarker of epileptogenicity and epileptogenesis.This consensus includes the definition and standard detection techniques of HFOs,the localizing value of pathological HFOs for epileptic foci,and different ways to distinguish physiological from epileptic HFOs.The latest clinical applications of HFOs in epilepsy and the related findings are also discussed.HFOs will advance our understanding of the pathophysiology of epilepsy. 展开更多
关键词 High-frequency oscillations RIPPLE Fast ripple Interictal spike EPILEPSY BIOMARKER
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