English

Multi-Phase Locking Value: A Generalized Method for Determining Instantaneous Multi-frequency Phase Coupling

Neurons and Cognition 2022-01-04 v2 Signal Processing

Abstract

Many physical, biological and neural systems behave as coupled oscillators, with characteristic phase coupling across different frequencies. Methods such as n:mn:m phase locking value and bi-phase locking value have previously been proposed to quantify phase coupling between two resonant frequencies (e.g. ff, 2f/32f/3) and across three frequencies (e.g. f1f_1, f2f_2, f1+f2f_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. f1f_1, f2f_2, f3f_3, f4f_4, f1+f2+f3f4f_1+f_2+f_3-f_4), or coupling that involves non-integer multiples of the frequencies (e.g. f1f_1, f2f_2, 2f1/3+f2/32f_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 R\"ossler 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.

Cite

@article{arxiv.2102.10471,
  title  = {Multi-Phase Locking Value: A Generalized Method for Determining Instantaneous Multi-frequency Phase Coupling},
  author = {Bhavya Vasudeva and Runfeng Tian and Dee H. Wu and Shirley A. James and Hazem H. Refai and Fei He and Yuan Yang},
  journal= {arXiv preprint arXiv:2102.10471},
  year   = {2022}
}

Comments

9 pages, 8 figures

R2 v1 2026-06-23T23:21:49.666Z