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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 functional 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.
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