Evidence map›Paper›PMID 35111233›Full record

ArticleBiomedical signal processing and control2022

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

Bhavya Vasudeva, Runfeng Tian, Dee H Wu, Shirley A James, Hazem H Refai, Lei Ding, Fei He, Yuan Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical signal processing and control, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Beta-Band Cortico-Muscular Phase Coherence in Hemiparetic Stroke.Biomedical signal processing and control · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Bhavya VasudevaIndian Statistical Institute, Kolkata, West Bengal 700108, India.
Runfeng TianStephenson School of Biomedical Engineering, The University of Oklahoma, Norman, Oklahoma 73019, USA.
Dee H WuDepartment of Radiological Sciences, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104, USA.
Shirley A JamesDepartment of Rehabilitation Sciences, College of Allied Health, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73117, USA.
Hazem H RefaiDepartment of Electrical and Computer Engineering, The University of Oklahoma, Tulsa, Oklahoma-74135, USA.
Lei DingStephenson School of Biomedical Engineering, The University of Oklahoma, Norman, Oklahoma 73019, USA.
Fei HeCentre for Computational Science and Mathematical Modelling, Coventry University, Coventry CV1 2JH, UK.
Yuan YangStephenson School of Biomedical Engineering, The University of Oklahoma, Norman, Oklahoma 73019, USA.

Funding

The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)P20GM121312 · NIGMS · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI Maëlle Camille Marie Gueguen · 2017 to 2026
$23.7M
Determination of the Recruitment of Indirect Motor Pathways in Chronic Hemiparetic StrokeR21HD099710 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DEWALD, JULIUS P, YANG, YUAN · 2019 to 2020
$416k
NICHD NIH HHS R21 HD099710NIGMS NIH HHS P20 GM121312
6 · The paper itself

Abstract

backgroundMany physical, biological and neural systems behave as coupled oscillators, with characteristic phase coupling across different frequencies. Methods such as NEW

methodsTo 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.

resultsThe M-PLV has been tested on cases where synthetic coupled signals are generated using white Gaussian signals, and a system comprised of multiple coupled Rössler oscillators, as well as a human subject dataset. 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.

Indexed as

cross-frequency couplingnonlinear systemphase couplingsignal processingtime delay

Identifiers

PMID35111233
PMCPMC8803274

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.