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 |
id |
doaj-e9a9db08e9ae4571b933a96be28a4797 |
---|---|
record_format |
Article |
spelling |
doaj-e9a9db08e9ae4571b933a96be28a47972020-11-25T01:26:49ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01139e020426010.1371/journal.pone.0204260Realtime phase-amplitude coupling analysis of micro electrode recorded brain signals.David Chao-Chia LuChadwick BoulayAdrian D C ChanAdam J SachsOBJECTIVE: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.http://europepmc.org/articles/PMC6161890?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
David Chao-Chia Lu Chadwick Boulay Adrian D C Chan Adam J Sachs |
spellingShingle |
David Chao-Chia Lu Chadwick Boulay Adrian D C Chan Adam J Sachs Realtime phase-amplitude coupling analysis of micro electrode recorded brain signals. PLoS ONE |
author_facet |
David Chao-Chia Lu Chadwick Boulay Adrian D C Chan Adam J Sachs |
author_sort |
David Chao-Chia Lu |
title |
Realtime phase-amplitude coupling analysis of micro electrode recorded brain signals. |
title_short |
Realtime phase-amplitude coupling analysis of micro electrode recorded brain signals. |
title_full |
Realtime phase-amplitude coupling analysis of micro electrode recorded brain signals. |
title_fullStr |
Realtime phase-amplitude coupling analysis of micro electrode recorded brain signals. |
title_full_unstemmed |
Realtime phase-amplitude coupling analysis of micro electrode recorded brain signals. |
title_sort |
realtime phase-amplitude coupling analysis of micro electrode recorded brain signals. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2018-01-01 |
description |
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. |
url |
http://europepmc.org/articles/PMC6161890?pdf=render |
work_keys_str_mv |
AT davidchaochialu realtimephaseamplitudecouplinganalysisofmicroelectroderecordedbrainsignals AT chadwickboulay realtimephaseamplitudecouplinganalysisofmicroelectroderecordedbrainsignals AT adriandcchan realtimephaseamplitudecouplinganalysisofmicroelectroderecordedbrainsignals AT adamjsachs realtimephaseamplitudecouplinganalysisofmicroelectroderecordedbrainsignals |
_version_ |
1725108866976317440 |