Reports on Engineering Findings from Shenzhen University Provide New Insights (Accuracy Evaluation of Brain Source Localization Technology and Its Application In Practice).

A report from Shenzhen University in China discusses the accuracy evaluation of brain source localization technology and its practical applications. Brain source localization technology aims to identify neural activity in the brain using EEG and MEG signals on the scalp surface. The report explains the two processes involved in brain source localization, the forward problem and the inverse problem, and discusses various methods and algorithms used to improve accuracy. The report also highlights the impact of different recording methods, electrode numbers, and head models on source positioning accuracy. The application of brain source localization technology in time-frequency analysis and connectivity analysis is also explored. The report concludes by discussing scientific problems related to accuracy evaluation and aims to provide references and support for the development and application of brain source localization technology. [Extracted from the article]