Evidence map›Paper›PMID 27103757›Full record

ArticlePhysica A2016

Spurious cross-frequency amplitude-amplitude coupling in nonstationary, nonlinear signals.

Chien-Hung Yeh, Men-Tzung Lo, Kun Hu

Abstract read
In one paragraph

Article in Physica A, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Time-domain methods for quantifying dynamic cerebral blood flow autoregulation: Review and recommendations. A white paper from the Cerebrovascular Research Network (CARNet).Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Review
  4. Cross-Frequency Coupling and Intelligent Neuromodulation.Cyborg and bionic systems (Washington, D.C.) · 2023
    Review
  5. Article
  6. Article
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  9. Article
  10. Waveform changes with the evolution of beta bursts in the human subthalamic nucleus.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020
    Article
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  12. Article
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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

3 authors.

Chien-Hung YehDepartment of Electrical Engineering, National Central University, Taoyuan City 32001, Taiwan; Research Center for Adaptive Data Analysis, National Central University, Taoyuan City 32001, Taiwan; Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, 221 Longwood Avenue, Boston, MA 02115, USA.
Men-Tzung LoResearch Center for Adaptive Data Analysis, National Central University, Taoyuan City 32001, Taiwan; Institute of Translational and Interdisciplinary Medicine and Department of Biomedical Sciences and Engineering, National Central University, Taoyuan City 32001, Taiwan.
Kun HuMedical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, 221 Longwood Avenue, Boston, MA 02115, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA.

Funding

TRANSPLANTATION ANALYSIS OF CIRCADIAN RHYTHMS AND AGINGP01AG009975 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI SAPER, CLIFFORD B · 1991 to 2018
$23.1M
Neuropathology for disrupted multiscale activity control in Alzheimer's diseaseR01AG048108 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, KUN · 2015 to 2018
$1.6M
Fractal Regulatory Function of the Circadian SystemR00HL102241 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, KUN · 2012 to 2014
$720k
NHLBI NIH HHS R00 HL102241NIA NIH HHS P01 AG009975NIA NIH HHS R01 AG048108
6 · The paper itself

Abstract

Recent studies of brain activities show that cross-frequency coupling (CFC) play an important role in memory and learning. Many measures have been proposed to investigate the CFC phenomenon, including the correlation between the amplitude envelopes of two brain waves at different frequencies - cross-frequency amplitude-amplitude coupling (AAC). In this short communication, we describe how nonstationary, nonlinear oscillatory signals may produce spurious cross-frequency AAC. Utilizing the empirical mode decomposition, we also propose a new method for assessment of AAC that can potentially reduce the effects of nonlinearity and nonstatonarity and, thus, help to avoid the detection of artificial AACs. We compare the performances of this new method and the traditional Fourier-based AAC method. We also discuss the strategies to identify potential spurious AACs.

Indexed as

amplitude-amplitude couplingcross-frequency couplingempirical mode decompositionmodulation indexphase-amplitude coupling

Identifiers

PMID27103757
PMCPMC4834901

What OpenQuestion holds

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Registered trials

None linked

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.