Evidence map›Paper›PMID 35654886›Full record

ArticleCommunications biology2022

Time-resolved structure-function coupling in brain networks.

Zhen-Qi Liu, Bertha Vázquez-Rodríguez, R Nathan Spreng, Boris C Bernhardt, Richard F Betzel, Bratislav Misic

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Structure-function coupling in the human brainstem.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Variation in high-amplitude events across the human lifespan.Network neuroscience (Cambridge, Mass.) · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Article

2 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

6 authors.

Zhen-Qi Liu *McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada.ORCID 0000-0003-0917-7905
Bertha Vázquez-Rodríguez *McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada.ORCID 0000-0002-2912-3595
R Nathan SprengMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada.ORCID 0000-0003-1530-8916
Boris C BernhardtMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada.ORCID 0000-0001-9256-6041
Richard F BetzelPsychological and Brain Sciences, Program in Neuroscience, Cognitive Science Program, Network Science Institute, Indiana University, Bloomington, IN, USA.ORCID 0000-0001-9200-1681
Bratislav MisicMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada. bratislav.misic@mcgill.ca.ORCID 0000-0003-0307-2862

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between structural and functional connectivity in the brain is a key question in systems neuroscience. Modern accounts assume a single global structure-function relationship that persists over time. Here we study structure-function coupling from a dynamic perspective, and show that it is regionally heterogeneous. We use a temporal unwrapping procedure to identify moment-to-moment co-fluctuations in neural activity, and reconstruct time-resolved structure-function coupling patterns. We find that patterns of dynamic structure-function coupling are region-specific. We observe stable coupling in unimodal and transmodal cortex, and dynamic coupling in intermediate regions, particularly in insular cortex (salience network) and frontal eye fields (dorsal attention network). Finally, we show that the variability of a region's structure-function coupling is related to the distribution of its connection lengths. Collectively, our findings provide a way to study structure-function relationships from a dynamic perspective.

Indexed as

BrainMagnetic Resonance ImagingBrain MappingCerebral CortexFrontal Lobe

Identifiers

PMID35654886
PMCPMC9163085

What OpenQuestion holds

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LicenceCC BY
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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.