Evidence map›Paper›PMID 26835557›Full record

ArticleBrain research2016

Large-scale network-level processes during entrainment.

Chrysa Lithari, Carolina Sánchez-García, Philipp Ruhnau, Nathan Weisz

Abstract read
In one paragraph

Article in Brain research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Stimulus-Driven Brain Rhythms within the Alpha Band: The Attentional-Modulation Conundrum.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  8. Article
  9. Individual Alpha Peak Frequency Predicts 10 Hz Flicker Effects on Selective Attention.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  10. Article
  11. Article
  12. Article
  13. 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

4 authors.

Chrysa LithariCenter for Mind/Brain Sciences, CIMeC, University of Trento, via delle Regole 101, Mattarello 38122, Italy; Center for Cognitive Neuroscience, University of Salzburg, Hellbrunnerstraße 34/II, Salzburg 5020, Austria. Electronic address: chrysoula.lithari@sbg.ac.at.
Carolina Sánchez-GarcíaCenter for Mind/Brain Sciences, CIMeC, University of Trento, via delle Regole 101, Mattarello 38122, Italy. Electronic address: carolina.sanchez@unit.it.
Philipp RuhnauCenter for Cognitive Neuroscience, University of Salzburg, Hellbrunnerstraße 34/II, Salzburg 5020, Austria. Electronic address: philipp.ruhnau@sbg.ac.at.
Nathan WeiszCenter for Mind/Brain Sciences, CIMeC, University of Trento, via delle Regole 101, Mattarello 38122, Italy; Center for Cognitive Neuroscience, University of Salzburg, Hellbrunnerstraße 34/II, Salzburg 5020, Austria. Electronic address: nathan.weisz@sbg.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visual rhythmic stimulation evokes a robust power increase exactly at the stimulation frequency, the so-called steady-state response (SSR). Localization of visual SSRs normally shows a very focal modulation of power in visual cortex and led to the treatment and interpretation of SSRs as a local phenomenon. Given the brain network dynamics, we hypothesized that SSRs have additional large-scale effects on the brain functional network that can be revealed by means of graph theory. We used rhythmic visual stimulation at a range of frequencies (4-30 Hz), recorded MEG and investigated source level connectivity across the whole brain. Using graph theoretical measures we observed a frequency-unspecific reduction of global density in the alpha band "disconnecting" visual cortex from the rest of the network. Also, a frequency-specific increase of connectivity between occipital cortex and precuneus was found at the stimulation frequency that exhibited the highest resonance (30 Hz). In conclusion, we showed that SSRs dynamically re-organized the brain functional network. These large-scale effects should be taken into account not only when attempting to explain the nature of SSRs, but also when used in various experimental designs.

Indexed as

Brain WavesEvoked Potentials, VisualAdultAlpha RhythmBrainFemaleHumansMagnetoencephalographyMaleNeural PathwaysPhotic StimulationSignal Processing, Computer-AssistedVisual CortexVisual PathwaysVisual PerceptionYoung AdultEntrainmentFunctional connectivityGlobal densityGraph theoryNode degreeSeeded connectivityVisual steady-state

Identifiers

PMID26835557
PMCPMC4786120

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.