Realtime phase-amplitude coupling analysis of micro electrode recorded brain signals.
OBJECTIVE:To demonstrate a method to calculate phase amplitude coupling (PAC) quickly and robustly for realtime applications. METHODS:We designed and implemented a multirate PAC algorithm with efficient filter bank processing and efficient computation of PAC for many frequency-pair combinations. We...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2018-01-01
|
| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC6161890?pdf=render |
| Summary: | OBJECTIVE:To demonstrate a method to calculate phase amplitude coupling (PAC) quickly and robustly for realtime applications. METHODS:We designed and implemented a multirate PAC algorithm with efficient filter bank processing and efficient computation of PAC for many frequency-pair combinations. We tested the developed algorithm for computing PAC on simulated data and on intraoperative neural recording data obtained during deep brain stimulation (DBS) electrode implantation surgery. RESULTS:A combination of parallelized frequency-domain filtering and modulation index for PAC estimation provided robust results that could be calculated in real time on modest computing hardware. CONCLUSION:The standard methods for calculating PAC can be optimized for quick and robust performance. SIGNIFICANCE:These results demonstrated that PAC can be extracted in real time and is suitable for neurofeedback applications. |
|---|---|
| ISSN: | 1932-6203 |