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Phase coherence—A time-localized approach to studying interactions

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Phase coherence—A time-localized approach to studying interactions. / Barnes, S. J. K.; Bjerkan, J.; Clemson, P. T. et al.
In: Chaos, Vol. 34, No. 7, 073155, 01.07.2024.

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@article{91e97a85363345f1b407f7d6845752b6,
title = "Phase coherence—A time-localized approach to studying interactions",
abstract = "Coherence measures the similarity of progression of phases between oscillations or waves. When applied to multi-scale, nonstationary dynamics with time-varying amplitudes and frequencies, high values of coherence provide a useful indication of interactions, which might otherwise go unnoticed. However, the choice of analyzing coherence based on phases and amplitudes (amplitude-weighted phase coherence) vs only phases (phase coherence) has long been seen as arbitrary. Here, we review the concept of coherence and focus on time-localized methods of analysis, considering both phase coherence and amplitude-weighted phase coherence. We discuss the importance of using time-localized analysis and illustrate the methods and their practicalities on both numerically modeled and real time-series. The results show that phase coherence is more robust than amplitude-weighted phase coherence to both noise perturbations and movement artifacts. The results also have wider implications for the analysis of real data and the interpretation of physical systems.",
author = "Barnes, {S. J. K.} and J. Bjerkan and Clemson, {P. T.} and J. Newman and A. Stefanovska",
year = "2024",
month = jul,
day = "1",
doi = "10.1063/5.0202865",
language = "English",
volume = "34",
journal = "Chaos",
issn = "1054-1500",
publisher = "American Institute of Physics Publising LLC",
number = "7",

}

RIS

TY - JOUR

T1 - Phase coherence—A time-localized approach to studying interactions

AU - Barnes, S. J. K.

AU - Bjerkan, J.

AU - Clemson, P. T.

AU - Newman, J.

AU - Stefanovska, A.

PY - 2024/7/1

Y1 - 2024/7/1

N2 - Coherence measures the similarity of progression of phases between oscillations or waves. When applied to multi-scale, nonstationary dynamics with time-varying amplitudes and frequencies, high values of coherence provide a useful indication of interactions, which might otherwise go unnoticed. However, the choice of analyzing coherence based on phases and amplitudes (amplitude-weighted phase coherence) vs only phases (phase coherence) has long been seen as arbitrary. Here, we review the concept of coherence and focus on time-localized methods of analysis, considering both phase coherence and amplitude-weighted phase coherence. We discuss the importance of using time-localized analysis and illustrate the methods and their practicalities on both numerically modeled and real time-series. The results show that phase coherence is more robust than amplitude-weighted phase coherence to both noise perturbations and movement artifacts. The results also have wider implications for the analysis of real data and the interpretation of physical systems.

AB - Coherence measures the similarity of progression of phases between oscillations or waves. When applied to multi-scale, nonstationary dynamics with time-varying amplitudes and frequencies, high values of coherence provide a useful indication of interactions, which might otherwise go unnoticed. However, the choice of analyzing coherence based on phases and amplitudes (amplitude-weighted phase coherence) vs only phases (phase coherence) has long been seen as arbitrary. Here, we review the concept of coherence and focus on time-localized methods of analysis, considering both phase coherence and amplitude-weighted phase coherence. We discuss the importance of using time-localized analysis and illustrate the methods and their practicalities on both numerically modeled and real time-series. The results show that phase coherence is more robust than amplitude-weighted phase coherence to both noise perturbations and movement artifacts. The results also have wider implications for the analysis of real data and the interpretation of physical systems.

U2 - 10.1063/5.0202865

DO - 10.1063/5.0202865

M3 - Journal article

VL - 34

JO - Chaos

JF - Chaos

SN - 1054-1500

IS - 7

M1 - 073155

ER -