Abstract
Many physical, biological and neural systems behave as coupled oscillators, with characteristic phase coupling across different frequencies. Methods such as $n:m$ phase locking value and bi-phase locking value have previously been proposed to quantify phase coupling between two resonant frequencies (e.g. f, 2f/3) and across three frequencies (e.g. f_1, f_2, f_1+f_2), respectively. However, the existing phase coupling metrics have their limitations and limited applications. They cannot be used to detect or quantify phase coupling across multiple frequencies (e.g. f_1, f_2, f_3, f_4, f_1+f_2+f_3-f_4), or coupling that involves non-integer multiples of the frequencies (e.g. f_1, f_2, 2f_1/3+f_2/3). To address the gap, this paper proposes a generalized approach, named multi-phase locking value (M-PLV), for the quantification of various types of instantaneous multi-frequency phase coupling. Different from most instantaneous phase coupling metrics that measure the simultaneous phase coupling, the proposed M-PLV method also allows the detection of delayed phase coupling and the associated time lag between coupled oscillators. The M-PLV has been tested on cases where synthetic coupled signals are generated using white Gaussian signals, and a system comprised of multiple coupled Rossler oscillators. Results indicate that the M-PLV can provide a reliable estimation of the time window and frequency combination where the phase coupling is significant, as well as a precise determination of time lag in the case of delayed coupling. This method has the potential to become a powerful new tool for exploring phase coupling in complex nonlinear dynamic systems.
| Original language | English |
|---|---|
| Publisher | arXiv |
| Number of pages | 6 |
| Publication status | Published - 20 Feb 2021 |
Keywords
- q-bio.NC
- eess.SP
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Multi-phase locking value: A generalized method for determining instantaneous multi-frequency phase coupling
Vasudeva, B., Tian, R., Wu, D. H., James, S. A., Refai, H. H., Ding, L., He, F. & Yang, Y., Apr 2022, In: Biomedical Signal Processing and Control. 74, 8 p., 103492.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Link opens in a new tab Citations (Scopus)192 Downloads (Pure)
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