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Computation of Brain Functional Connectivity Network Measures in Epilepsy: A Web-Based Platform for EEG Signal Data Processing and Analysis

机译:癫痫脑功能连通性网络测量的计算:基于Web的EEG信号数据处理和分析平台

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Epilepsy is a serious neurological disorder that affects nearly 60 million individuals worldwide and it is characterized by repeated seizures. Graph theoretic approaches have been developed to analyze junctional brain networks that underpin epileptogenic network. We have developed a Web-based application that enables neuroscientists to process high resolution Stereotactic Electroencephalogram (SEEG) signal data and compute various kinds of signal coupling measures using an intuitive user interface for study of epilepsy seizure networks. Results of a systematic evaluation of this new application show that it scales with increasing volume of signal data.
机译:癫痫是一种严重的神经疾病,影响全世界近6000万人,其特点是重复癫痫发作。 已经开发了图形理论方法,用于分析癫痫网络的连接脑网络。 我们开发了一种基于Web的应用程序,使神经科学家能够使用直观的用户界面来处理高分辨率立体型脑电图(Seeg)信号数据并计算各种信号耦合措施,以便研究癫痫癫痫癫痫潜行网络。 该新应用的系统评估结果表明它呈现出越来越大的信号数据量。

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