Evidence map›Paper›PMID 30837462›Full record

ArticleNature communications2019

Metastable brain waves.

James A Roberts, Leonardo L Gollo, Romesh G Abeysuriya, Gloria Roberts, Philip B Mitchell, Mark W Woolrich, Michael Breakspear

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing 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

103 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Hierarchical Flows of Human Cortical Activity.bioRxiv : the preprint server for biology · 2026
    Article
  9. Review
  10. Article
  11. A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. The myth of the Bayesian brain.European journal of applied physiology · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

43 more citing papers are in PubMed but not listed here.

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

7 authors.

James A RobertsQIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia. james.roberts@qimrberghofer.edu.au.ORCID http://orcid.org/0000-0003-1626-6551
Leonardo L GolloQIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia.ORCID http://orcid.org/0000-0003-3505-9259
Romesh G AbeysuriyaOxford Centre for Human Brain Activity (OHBA), Wellcome Centre for Integrative NeuroImaging, Department of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK.
Gloria RobertsSchool of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia.
Philip B MitchellSchool of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia.
Mark W WoolrichOxford Centre for Human Brain Activity (OHBA), Wellcome Centre for Integrative NeuroImaging, Department of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK.
Michael BreakspearQIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia.ORCID http://orcid.org/0000-0003-4943-3969

Funding

Medical Research Council MR/K005464/1Wellcome Trust
6 · The paper itself

Abstract

Traveling patterns of neuronal activity-brain waves-have been observed across a breadth of neuronal recordings, states of awareness, and species, but their emergence in the human brain lacks a firm understanding. Here we analyze the complex nonlinear dynamics that emerge from modeling large-scale spontaneous neural activity on a whole-brain network derived from human tractography. We find a rich array of three-dimensional wave patterns, including traveling waves, spiral waves, sources, and sinks. These patterns are metastable, such that multiple spatiotemporal wave patterns are visited in sequence. Transitions between states correspond to reconfigurations of underlying phase flows, characterized by nonlinear instabilities. These metastable dynamics accord with empirical data from multiple imaging modalities, including electrical waves in cortical tissue, sequential spatiotemporal patterns in resting-state MEG data, and large-scale waves in human electrocorticography. By moving the study of functional networks from a spatially static to an inherently dynamic (wave-like) frame, our work unifies apparently diverse phenomena across functional neuroimaging modalities and makes specific predictions for further experimentation.

Indexed as

Models, NeurologicalAdolescentAdultBrainBrain WavesComputer SimulationDiffusion Tensor ImagingElectrocorticographyFemaleHealthy VolunteersHumansMaleNerve NetNeuronsNonlinear DynamicsYoung Adult

Identifiers

PMID30837462
PMCPMC6401142

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.