癫痫
神经科学
杠杆(统计)
多学科方法
模式
癫痫外科
医学
心理学
计算机科学
医学物理学
人工智能
社会科学
社会学
作者
Konrad Wagstyl,Katja Kobow,Pablo M. Casillas‐Espinosa,Andrew J. Cole,Diego Jiménez‐Jiménez,Hiroki Nariai,Stéphanie Baulac,Terence J. O’Brien,David C. Henshall,Özlem Akman,Raman Sankar,Aristea S. Galanopoulou,Stéphane Auvin
出处
期刊:Epilepsia
[Wiley]
日期:2024-06-03
卷期号:65 (8): 2238-2247
被引量:2
摘要
Abstract Epilepsy's myriad causes and clinical presentations ensure that accurate diagnoses and targeted treatments remain a challenge. Advanced neurotechnologies are needed to better characterize individual patients across multiple modalities and analytical techniques. At the XVIth Workshop on Neurobiology of Epilepsy: Early Onset Epilepsies: Neurobiology and Novel Therapeutic Strategies (WONOEP 2022), the session on “advanced tools” highlighted a range of approaches, from molecular phenotyping of genetic epilepsy models and resected tissue samples to imaging‐guided localization of epileptogenic tissue for surgical resection of focal malformations. These tools integrate cutting edge research, clinical data acquisition, and advanced computational methods to leverage the rich information contained within increasingly large datasets. A number of common challenges and opportunities emerged, including the need for multidisciplinary collaboration, multimodal integration, potential ethical challenges, and the multistage path to clinical translation. Despite these challenges, advanced epilepsy neurotechnologies offer the potential to improve our understanding of the underlying causes of epilepsy and our capacity to provide patient‐specific treatment.
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