5. Use EEG pipelines on WeBrain platform

Yun Qin Presenter
University of Electronic Science and Technology of China
Chengdu, Sichuan 
Sunday, Jun 23: 9:00 AM - 5:30 PM
Educational Course - Full Day (8 hours) 
Room: Grand Ballroom 104 
Scalp electroencephalography (EEG) is a commonly used and excellent technique that directly quantifies the electric fields of brain activity with millisecond temporal resolution, and until recently, EEG processing steps were common, with small incremental steps toward more standardized methods and steps. With the current evolution of ‘cloud neuroscience’ has led to increased research on large-scale EEG applications, resulting in large amounts of EEG data, tools and pipelines on the cloud. Yet most researchers, especially the beginners, are not aware of this and do not make full use of these modern tools and resources. This educational session aims to address this gap, bringing best practices of WeBrain platform (https://webrain.uestc.edu.cn/) in EEG processing and sharing to all EEG researchers. The learning outcomes are (1) understanding of the variety of EEG artefacts during recording and conducting quality assessment of continuous raw EEG data; (2) understanding of the standardized processing methods: filtering, artefact removal procedures, REST re-referencing etc.; (3) best practices in EEG processing steps from raw data to EEG measures (power, network, nonlinear, microstate, qEEG etc.) on the platform; (4) best practices in using the power of cloud high-performance computing (combing with CBRAIN platform) or off-line pipelines (WeBrain EEGPipe software) on your large-scale EEG data.