This course is intended for those interested in electroencephalography (EEG) and event-related potentials (ERPs) techniques, and those interested in collecting, annotating, standardizing, storing, processing, sharing, and publishing data from electrical activity of the human brain. The course is intended primarily for beginners, but it will also beneficial to experimentalists who understand EEG and ERP techniques, but need additional knowledge regarding the annotation, standardization, long-term storage, and publication of data.
Lifecycle of Human Electroencephalography/Event-Related Potential Data
Course Features
Videos
Lectures
Tutorials
Lessons of this Course
1
1
Duration:
35:30
Speaker:
This lesson provides an introduction to the lifecycle of EEG/ERP data, describing the various phases through which these data pass, from collection to publication.
2
2
Duration:
30:04
Speaker:
In this lesson you will learn about experimental design for EEG acquisition, as well as the first phases of the EEG/ERP data lifecycle.
3
3
Duration:
31:00
Speaker:
This lesson provides an overview of the current regulatory measures in place regarding experimental data security and privacy.
4
4
Duration:
29:14
Speaker:
In this lesson, you will learn the appropriate methods for collection of both data and associated metadata during EEG experiments.
5
5
Duration:
39:25
Speaker:
This lesson goes over methods for managing EEG/ERP data after it has been collected, from annotation to publication.
6
6
Duration:
34:51
Speaker:
In this final lesson of the course, you will learn broadly about EEG signal processing, as well as specific applications which make this kind of brain signal valuable to researchers and clinicians.
