Evidence map›Paper›PMID 33258067›Full record

ArticleVisual computing for industry, biomedicine, and art2020

Functional near-infrared spectroscopy can detect low-frequency hemodynamic oscillations in the prefrontal cortex during steady-state visual evoked potential-inducing periodic facial expression stimuli presentation.

Meng-Yun Wang, Anzhe Yuan, Juan Zhang, Yutao Xiang, Zhen Yuan

Abstract read
In one paragraph

Article in Visual computing for industry, biomedicine, and art, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Standardisation and future of preclinical echocardiography.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Review
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

5 authors.

Meng-Yun WangFaculty of Health Sciences, University of Macau, Taipa, Macau SAR, 999078, China.
Anzhe YuanEastside High School, 1201 SE 43rd Street, Gainesville, FL, 32641, USA.
Juan ZhangCentre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, 999078, China.
Yutao XiangFaculty of Health Sciences, University of Macau, Taipa, Macau SAR, 999078, China.
Zhen YuanFaculty of Health Sciences, University of Macau, Taipa, Macau SAR, 999078, China. zhenyuan@um.edu.mo.ORCID http://orcid.org/0000-0003-3061-6263

Funding

Fundo para o Desenvolvimento das Ciências e da Tecnologia FDCT 0011/2018/A1Fundo para o Desenvolvimento das Ciências e da Tecnologia FDCT 025/2015/A1Universidade de Macau MYRG2018-00081-FHSUniversidade de Macau MYRG2019-00082-FHS
6 · The paper itself

Abstract

Brain oscillations are vital to cognitive functions, while disrupted oscillatory activity is linked to various brain disorders. Although high-frequency neural oscillations (> 1 Hz) have been extensively studied in cognition, the neural mechanisms underlying low-frequency hemodynamic oscillations (LFHO) < 1 Hz have not yet been fully explored. One way to examine oscillatory neural dynamics is to use a facial expression (FE) paradigm to induce steady-state visual evoked potentials (SSVEPs), which has been used in electroencephalography studies of high-frequency brain oscillation activity. In this study, LFHO during SSVEP-inducing periodic flickering stimuli presentation were inspected using functional near-infrared spectroscopy (fNIRS), in which hemodynamic responses in the prefrontal cortex were recorded while participants were passively viewing dynamic FEs flickering at 0.2 Hz. The fast Fourier analysis results demonstrated that the power exhibited monochronic peaks at 0.2 Hz across all channels, indicating that the periodic events successfully elicited LFHO in the prefrontal cortex. More importantly, measurement of LFHO can effectively distinguish the brain activation difference between different cognitive conditions, with happy FE presentation showing greater LFHO power than neutral FE presentation. These results demonstrate that stimuli flashing at a given frequency can induce LFHO in the prefrontal cortex, which provides new insights into the cognitive mechanisms involved in slow oscillation.

Indexed as

Brain oscillationDynamic facial expressionsFunctional near-infrared spectroscopySteady state visual evoked potentials

Identifiers

PMID33258067
PMCPMC7704826

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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.