Three-dimensional eeg signal tracking for reproducible brain activity monitoring

摘要

Electroencephalography (EEG) monitoring methods play a highly important role in studying human brain electrical activities. Its ability to achieve millisecond scale time resolution is critical for obtaining causal relationship. However, due to the dynamic nature of brain electrical activity, the same stimuli may generate different responses at different time or different psychological setting. Time averaging and repeat testing are usually required to obtain reproducible and meaningful data that can link to behaviors. Here, we propose a new approach to link single measurement with behaviors that can monitor brain functions reproducibly without repeating measurements. The method opens doors to freely explore brain functions and responses in real time without many restrictions like, for example, doing event related potential (ERP) measurement.