Evidence map›Paper›PMID 29087305›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Brain network dynamics are hierarchically organized in time.

Diego Vidaurre, Stephen M Smith, Mark W Woolrich

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 446 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
446citing papers in PubMed, 2 pooled it
–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

446 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  10. Sharp and smooth state transitions during resting state brain dynamics.bioRxiv : the preprint server for biology · 2026
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386 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Diego VidaurreOxford Centre for Human Brain Activity (OHBA), Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford OX3 7JX, United Kingdom; diego.vidaurre@ohba.ox.ac.uk.
Stephen M SmithOxford Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, United Kingdom.
Mark W WoolrichOxford Centre for Human Brain Activity (OHBA), Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford OX3 7JX, United Kingdom.

Funding

Department of HealthMedical Research Council MR/K005464/1Wellcome TrustWellcome Trust 098369/Z/12/ZWellcome Trust 106183/Z/14/ZWellcome Trust 203139/Z/16/Z
6 · The paper itself

Abstract

The brain recruits neuronal populations in a temporally coordinated manner in task and at rest. However, the extent to which large-scale networks exhibit their own organized temporal dynamics is unclear. We use an approach designed to find repeating network patterns in whole-brain resting fMRI data, where networks are defined as graphs of interacting brain areas. We find that the transitions between networks are nonrandom, with certain networks more likely to occur after others. Further, this nonrandom sequencing is itself hierarchically organized, revealing two distinct sets of networks, or metastates, that the brain has a tendency to cycle within. One metastate is associated with sensory and motor regions, and the other involves areas related to higher order cognition. Moreover, we find that the proportion of time that a subject spends in each brain network and metastate is a consistent subject-specific measure, is heritable, and shows a significant relationship with cognitive traits.

Indexed as

Models, NeurologicalQuantitative Trait, HeritableAdultBrainBrain MappingCognitionFemaleHumansMagnetic Resonance ImagingMaleNerve NetNeural PathwaysRestTask Performance and AnalysisTime Factorsdynamic functional connectivityhidden Markov modelmetastatesresting-state networks

Identifiers

PMID29087305
PMCPMC5715736

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.