Evidence map›Paper›PMID 34421511›Full record

ArticleFrontiers in neuroscience2021

Revealing the Dynamic Nature of Amplitude Modulated Neural Entrainment With Holo-Hilbert Spectral Analysis.

Chi-Hung Juan, Kien Trong Nguyen, Wei-Kuang Liang, Andrew J Quinn, Yen-Hsun Chen, Neil G Muggleton, Jia-Rong Yeh, Mark W Woolrich, Anna C Nobre, Norden E Huang

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

10 authors.

Chi-Hung JuanInstitute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan.
Kien Trong NguyenInstitute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan.
Wei-Kuang LiangInstitute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan.
Andrew J QuinnOxford Centre for Human Brain Activity, University of Oxford, Oxford, United Kingdom.
Yen-Hsun ChenInstitute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan.
Neil G MuggletonInstitute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan.
Jia-Rong YehCognitive Intelligence and Precision Healthcare Center, National Central University, Taoyuan City, Taiwan.
Mark W WoolrichOxford Centre for Human Brain Activity, University of Oxford, Oxford, United Kingdom.
Anna C NobreOxford Centre for Human Brain Activity, University of Oxford, Oxford, United Kingdom.
Norden E HuangCognitive Intelligence and Precision Healthcare Center, National Central University, Taoyuan City, Taiwan.

Funding

Medical Research Council MR/L023784/2
6 · The paper itself

Abstract

Patterns in external sensory stimuli can rapidly entrain neuronally generated oscillations observed in electrophysiological data. Here, we manipulated the temporal dynamics of visual stimuli with cross-frequency coupling (CFC) characteristics to generate steady-state visual evoked potentials (SSVEPs). Although CFC plays a pivotal role in neural communication, some cases reporting CFC may be false positives due to non-sinusoidal oscillations that can generate artificially inflated coupling values. Additionally, temporal characteristics of dynamic and non-linear neural oscillations cannot be fully derived with conventional Fourier-based analyses mainly due to trade off of temporal resolution for frequency precision. In an attempt to resolve these limitations of linear analytical methods, Holo-Hilbert Spectral Analysis (HHSA) was investigated as a potential approach for examination of non-linear and non-stationary CFC dynamics in this study. Results from both simulation and SSVEPs demonstrated that temporal dynamic and non-linear CFC features can be revealed with HHSA. Specifically, the results of simulation showed that the HHSA is less affected by the non-sinusoidal oscillation and showed possible cross frequency interactions embedded in the simulation without any

Indexed as

cross-frequency couplingHolo-Hilbert spectral analysisphase-amplitude couplingsteady-state visual evoked potentialthe dynamic visual entrainment

Identifiers

PMID34421511
PMCPMC8375503

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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.