Evidence mapPaperPMID 40866607Full record

ArticleNature neuroscience2025

Large-scale cortical functional networks are organized in structured cycles.

Mats W J van Es, Cameron Higgins, Chetan Gohil, Andrew J Quinn, Diego Vidaurre, Mark W Woolrich

Abstract read
In one paragraph

Article in Nature neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Canonical Hidden Markov Model Networks for studying M/EEG.Imaging neuroscience (Cambridge, Mass.) · 2026
    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

6 authors.

Mats W J van Es *Oxford Centre for Human Brain Activity (OHBA), Oxford Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK. mats.vanes@psych.ox.ac.uk.ORCID http://orcid.org/0000-0002-7133-509X
Cameron Higgins *Oxford Centre for Human Brain Activity (OHBA), Oxford Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-0051-5325
Chetan GohilOxford Centre for Human Brain Activity (OHBA), Oxford Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.
Andrew J QuinnOxford Centre for Human Brain Activity (OHBA), Oxford Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.
Diego VidaurreOxford Centre for Human Brain Activity (OHBA), Oxford Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.
Mark W WoolrichOxford Centre for Human Brain Activity (OHBA), Oxford Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-8460-8854

Funding

DH | National Institute for Health Research (NIHR) NIHR203316Novo Nordisk NNF19OC-0054895Wellcome TrustWellcome Trust (Wellcome) 106183/Z/14/ZWellcome Trust (Wellcome) 203139/A/16/ZWellcome Trust (Wellcome) 203139/Z/16/ZWellcome Trust (Wellcome) 215573/Z/19/Z
6 · The paper itself

Abstract

The brain seamlessly performs a diverse set of cognitive functions like attention, memory and sensory processing, yet it is unclear how it ensures that each of these is fulfilled within a reasonable period. One way in which this requirement can be met is if each of these cognitive functions occurs as part of a repeated cycle. Here we studied the temporal evolution of canonical, large-scale, cortical functional networks that are thought to underlie cognition. We showed that, although network dynamics are stochastic, the overall ordering of their activity forms a robust cyclical pattern. This cyclical structure groups states with similar function and spectral content at specific phases of the cycle and occurs at timescales of 300-1,000 ms. These results are reproduced in five large magnetoencephalography datasets. Moreover, we show that metrics that characterize the cycle strength and speed are heritable and relate to age, cognition and behavioral performance. These results show that the activations of a canonical set of large-scale cortical functional networks are organized in an inherently cyclical manner, ensuring periodic activation of essential cognitive functions.

Indexed as

Cerebral CortexCognitionNerve NetAdultBrain MappingFemaleHumansMagnetoencephalographyMaleMiddle AgedModels, NeurologicalNeural PathwaysYoung Adult

Identifiers

PMID40866607
PMCPMC12497652

What Socratic holds

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Registered trials

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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 Socratic graph.