Realtime phase-amplitude coupling analysis of micro electrode recorded brain signals

PLoS One. 2018 Sep 28;13(9):e0204260. doi: 10.1371/journal.pone.0204260. eCollection 2018.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Brain / physiology*
  • Microelectrodes
  • Signal Processing, Computer-Assisted*
  • Time Factors

Grants and funding

This study is funded with 2016 Larry Haffner Fellowship from the Parkinson Research Consortium Fellowship Award (http://www.ohri.ca/prc/research.asp). The funder had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.