Abstract
A recently developed tripolar concentric ring electrode enables accurate estimation of the local Laplacian of the electroencephalogram (EEG). Here, we tested the ability of this tripolar EEG (tEEG) system to detect the extent to which the alpha rhythm-an 8-13 Hz oscillation found in the EEG when the subject is at rest with the eyes closed-is modulated by opening the eyes, and compared it with simultaneous conventional EEG measurements. In a preliminary study comprising ten independent sessions on seven subjects, opening the eyes reduced alpha power by an average of 66.5 ± 9% and 59.1 ± 10% in tEEG and conventional EEG recordings, respectively. These findings suggest that the dynamical changes in brain rhythms may be more easily detected by tEEG than by conventional EEG with implications for clinical diagnosis and neurofeedback applications.
Original language | English |
---|---|
Title of host publication | 2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018 |
Pages | 68-72 |
Number of pages | 5 |
ISBN (Electronic) | 9781538675687 |
DOIs | |
State | Published - Jul 2 2018 |
Event | 2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018 - Louisville, United States Duration: Dec 6 2018 → Dec 8 2018 |
Publication series
Name | 2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018 |
---|
Conference
Conference | 2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018 |
---|---|
Country/Territory | United States |
City | Louisville |
Period | 12/6/18 → 12/8/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Funding
Research supported by National Science Foundation Grant No. 1539068. ACKNOWLEDGMENT Research supported by National Science Foundation Grant No. 1539068.
Funders | Funder number |
---|---|
National Science Foundation (NSF) | 1539068 |
National Science Foundation (NSF) |
Keywords
- Alpha rhythm
- Concentric electrodes
- EEG
- Visual suppression
- tEEG
ASJC Scopus subject areas
- Signal Processing
- Computer Science Applications
- Computer Networks and Communications