Evidence map›Paper›PMID 30320293›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2018

Dynamic large-scale network synchronization from perception to action.

Jonni Hirvonen, Simo Monto, Sheng H Wang, J Matias Palva, Satu Palva

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2018. 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. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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  11. Article
  12. Article
  13. The Common Rhythm of Action and Perception.Journal of cognitive neuroscience · 2020
    Review
  14. Review
  15. Electrophysiological Brain Connectivity: Theory and Implementation.IEEE transactions on bio-medical engineering · 2019
    Article
  16. Dynamic large-scale network synchronization from perception to action.Network neuroscience (Cambridge, Mass.) · 2018
    Article
  17. Article
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.

Jonni HirvonenHelsinki Institute for Life Sciences, Neuroscience Center, University of Helsinki, Finland.
Simo MontoHelsinki Institute for Life Sciences, Neuroscience Center, University of Helsinki, Finland.
Sheng H WangHelsinki Institute for Life Sciences, Neuroscience Center, University of Helsinki, Finland.
J Matias PalvaHelsinki Institute for Life Sciences, Neuroscience Center, University of Helsinki, Finland.ORCID 0000-0003-1885-2749
Satu PalvaHelsinki Institute for Life Sciences, Neuroscience Center, University of Helsinki, Finland.ORCID 0000-0001-9496-7391

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensory-guided actions entail the processing of sensory information, generation of perceptual decisions, and the generation of appropriate actions. Neuronal activity underlying these processes is distributed into sensory, fronto-parietal, and motor brain areas, respectively. How the neuronal processing is coordinated across these brain areas to support functions from perception to action remains unknown. We investigated whether phase synchronization in large-scale networks coordinate these processes. We recorded human cortical activity with magnetoencephalography (MEG) during a task in which weak somatosensory stimuli remained unperceived or were perceived. We then assessed dynamic evolution of phase synchronization in large-scale networks from source-reconstructed MEG data by using advanced analysis approaches combined with graph theory. Here we show that perceiving and reporting of weak somatosensory stimuli is correlated with sustained strengthening of large-scale synchrony concurrently in delta/theta (3-7 Hz) and gamma (40-60 Hz) frequency bands. In a data-driven network localization, we found this synchronization to dynamically connect the task-relevant, that is, the fronto-parietal, sensory, and motor systems. The strength and temporal pattern of interareal synchronization were also correlated with the response times. These data thus show that key brain areas underlying perception, decision-making, and actions are transiently connected by large-scale dynamic phase synchronization in the delta/theta and gamma bands.

Indexed as

ActionCommunicationMEGPerceptionSomatosensorySynchronization

Identifiers

PMID30320293
PMCPMC6175692

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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.