Evidence map›Paper›PMID 29555851›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018

Topology of Functional Connectivity and Hub Dynamics in the Beta Band As Temporal Prior for Natural Vision in the Human Brain.

Viviana Betti, Maurizio Corbetta, Francesco de Pasquale, Vincent Wens, Stefania Della Penna

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Movie Features Are Hierarchically Encoded in the Dynamics of Functional Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Encoding Manual Dexterity through Modulation of Intrinsic α Band Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  6. Article
  7. Genetic polymorphisms iniScience · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Spontaneous Beta Band Rhythms in the Predictive Coding of Natural Stimuli.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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.

Viviana BettiDepartment of Psychology, Sapienza University of Rome, Rome 00185, Italy, viviana.betti@gmail.com.ORCID 0000-0003-3429-2104
Maurizio CorbettaDepartment of Neuroscience and Padova Neuroscience Center, University of Padua, Padua 35128, Italy.
Francesco de PasqualeFaculty of Veterinary Medicine, University of Teramo, Teramo 64100, Italy.ORCID 0000-0003-1109-3305
Vincent WensLaboratoire de Cartographie fonctionnelle du Cerveau, UNI-ULB Neurosciences Institute, Université libre de Bruxelles (ULB) and Magnetoencephalography Unit, Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB-Hôpital Erasme, Brussels 1070, Belgium, and.ORCID 0000-0003-1746-439X
Stefania Della PennaDepartment of Neuroscience, Imaging and Clinical Sciences and Institute for Advanced Biomedical Technologies, G. d'Annunzio University Chieti-Pescara, Chieti 66013, Italy.ORCID 0000-0001-5067-4327

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Stroke, Brain Networks, and BehaviorR01NS095741 · NINDS · WASHINGTON UNIVERSITY · PI CORBETTA, MAURIZIO · 2015 to 2019
$3.0M
ELECTROPHYSIOLOGICAL STUDIES OF HUMAN ATTENTIONR01MH096482 · NIMH · WASHINGTON UNIVERSITY · PI CORBETTA, MAURIZIO, LEUTHARDT, ERIC CLAUDE · 2012 to 2016
$2.4M
NIMH NIH HHS R01 MH096482NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS095741
6 · The paper itself

Abstract

Networks hubs represent points of convergence for the integration of information across many different nodes and systems. Although a great deal is known on the topology of hub regions in the human brain, little is known about their temporal dynamics. Here, we examine the static and dynamic centrality of hub regions when measured in the absence of a task (rest) or during the observation of natural or synthetic visual stimuli. We used Magnetoencephalography (MEG) in humans (both sexes) to measure static and transient regional and network-level interaction in α- and β-band limited power (BLP) in three conditions: visual fixation (rest), viewing of movie clips (natural vision), and time-scrambled versions of the same clips (scrambled vision). Compared with rest, we observed in both movie conditions a robust decrement of α-BLP connectivity. Moreover, both movie conditions caused a significant reorganization of connections in the α band, especially between networks. In contrast, β-BLP connectivity was remarkably similar between rest and natural vision. Not only the topology did not change, but the joint dynamics of hubs in a core network during natural vision was predicted by similar fluctuations in the resting state. We interpret these findings by suggesting that slow-varying fluctuations of integration occurring in higher-order regions in the β band may be a mechanism to anticipate and predict slow-varying temporal patterns of the visual environment.

Indexed as

Beta RhythmVisual PerceptionAdultAlpha RhythmBrainEye MovementsFemaleHumansMagnetoencephalographyMaleVision, Ocularbrain rhythmscentralityfunctional connectivitymagnetoencephalographynatural stimulationresting-state networks

Identifiers

PMID29555851
PMCPMC6705907

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.