Epilepsy Center, University Hospital Freiburg, Germany.
Comput Methods Programs Biomed. 2012 Jun;106(3):127-38. doi: 10.1016/j.cmpb.2010.08.011. Epub 2010 Sep 21.
With a worldwide prevalence of about 1%, epilepsy is one of the most common serious brain diseases with profound physical, psychological and, social consequences. Characteristic symptoms are seizures caused by abnormally synchronized neuronal activity that can lead to temporary impairments of motor functions, perception, speech, memory or, consciousness. The possibility to predict the occurrence of epileptic seizures by monitoring the electroencephalographic activity (EEG) is considered one of the most promising options to establish new therapeutic strategies for the considerable fraction of patients with currently insufficiently controlled seizures. Here, a database is presented which is part of an EU-funded project "EPILEPSIAE" aiming at the development of seizure prediction algorithms which can monitor the EEG for seizure precursors. High-quality, long-term continuous EEG data, enriched with clinical metadata, which so far have not been available, are managed in this database as a joint effort of epilepsy centers in Portugal (Coimbra), France (Paris) and Germany (Freiburg). The architecture and the underlying schema are here reported for this database. It was designed for an efficient organization, access and search of the data of 300 epilepsy patients, including high quality long-term EEG recordings, obtained with scalp and intracranial electrodes, as well as derived features and supplementary clinical and imaging data. The organization of this European database will allow for accessibility by a wide spectrum of research groups and may serve as a model for similar databases planned for the future.
癫痫的全球患病率约为 1%,是最常见的严重脑部疾病之一,会对身体、心理和社会造成严重后果。其特征症状是由神经元异常同步活动引起的癫痫发作,可能导致运动功能、感知、言语、记忆或意识的暂时障碍。通过监测脑电图(EEG)来预测癫痫发作的可能性,被认为是为目前控制不佳的大量癫痫患者建立新治疗策略的最有前途的选择之一。本文介绍了一个数据库,它是欧盟资助的“EPILEPSIAE”项目的一部分,旨在开发可以监测癫痫发作前兆的癫痫预测算法。该数据库管理着高质量、长期连续的 EEG 数据,并辅以临床元数据,这些数据是葡萄牙(科英布拉)、法国(巴黎)和德国(弗莱堡)的癫痫中心共同努力的结果。本文报告了该数据库的架构和基础模式。该数据库旨在高效组织、访问和搜索 300 名癫痫患者的数据,包括使用头皮和颅内电极获得的高质量长期 EEG 记录,以及衍生特征和补充的临床及影像数据。该欧洲数据库的组织将允许广泛的研究小组访问,并可能成为未来计划类似数据库的模型。