Evidence map›Paper›PMID 31729410›Full record

ArticleScientific reports2019

Unraveling nonlinear electrophysiologic processes in the human visual system with full dimension spectral analysis.

Kien Trong Nguyen, Wei-Kuang Liang, Victor Lee, Wen-Sheng Chang, Neil G Muggleton, Jia-Rong Yeh, Norden E Huang, Chi-Hung Juan

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  14. 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
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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

8 authors.

Kien Trong NguyenInstitute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan.
Wei-Kuang LiangInstitute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan.
Victor LeeInstitute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan.
Wen-Sheng ChangInstitute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan.
Neil G MuggletonInstitute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan.
Jia-Rong YehBrain Research Center, National Central University, Taoyuan, Taiwan.ORCID http://orcid.org/0000-0002-4873-7402
Norden E HuangBrain Research Center, National Central University, Taoyuan, Taiwan.
Chi-Hung JuanInstitute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan. chijuan@cc.ncu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural sensory signals have nonlinear structures dynamically composed of the carrier frequencies and the variation of the amplitude (i.e., envelope). How the human brain processes the envelope information is still poorly understood, largely due to the conventional analysis failing to quantify it directly. Here, we used a recently developed method, Holo-Hilbert spectral analysis, and steady-state visually evoked potential collected using electroencephalography (EEG) recordings to investigate how the human visual system processes the envelope of amplitude-modulated signals, in this case with a 14 Hz carrier and a 2 Hz envelope. The EEG results demonstrated that in addition to the fundamental stimulus frequencies, 4 Hz amplitude modulation residing in 14 Hz carrier and a broad range of carrier frequencies covering from 8 to 32 Hz modulated by 2 Hz amplitude modulation are also found in the two-dimensional frequency spectrum, which have not yet been recognized before. The envelope of the stimulus is also found to dominantly modulate the response to the incoming signal. The findings thus reveal that the electrophysiological response to amplitude-modulated stimuli is more complex than could be revealed by, for example, Fourier analysis. This highlights the dynamics of neural processes in the visual system.

Indexed as

ElectroencephalographyElectrophysiological PhenomenaAdultData AnalysisEvoked Potentials, VisualFemaleHumansMalePhotic StimulationVisual CortexVisual PathwaysYoung Adult

Identifiers

PMID31729410
PMCPMC6858326

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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.