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

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.

SUBMITTER: Lu DC

PROVIDER: S-EPMC6161890 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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

Lu David Chao-Chia DC Boulay Chadwick C Chan Adrian D C ADC Sachs Adam J AJ

PloS one 20180928 9

<h4>Objective</h4>To demonstrate a method to calculate phase amplitude coupling (PAC) quickly and robustly for realtime applications.<h4>Methods</h4>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 surger ...[more]

PMID: 30265705

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