Evidence map›Paper›PMID 31570622›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Gradients of structure-function tethering across neocortex.

Bertha Vázquez-Rodríguez, Laura E Suárez, Ross D Markello, Golia Shafiei, Casey Paquola, Patric Hagmann, Martijn P van den Heuvel, Boris C Bernhardt, R Nathan Spreng, Bratislav Misic

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 294 papers.

0numbers the graph read from it
0cells of the map it votes in
294citing 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

294 citing papers in PubMed.

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  20. Input-dependent directionality of interactions between cortical areas.bioRxiv : the preprint server for biology · 2026
    Article

234 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

10 authors.

Bertha Vázquez-RodríguezMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.ORCID 0000-0002-2912-3595
Laura E SuárezMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Ross D MarkelloMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Golia ShafieiMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Casey PaquolaMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Patric HagmannSignal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Martijn P van den HeuvelCenter for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands.
Boris C BernhardtMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
R Nathan SprengMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.ORCID 0000-0003-1530-8916
Bratislav MisicMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC H3A 2B4, 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 white matter architecture of the brain imparts a distinct signature on neuronal coactivation patterns. Interregional projections promote synchrony among distant neuronal populations, giving rise to richly patterned functional networks. A variety of statistical, communication, and biophysical models have been proposed to study the relationship between brain structure and function, but the link is not yet known. In the present report we seek to relate the structural and functional connection profiles of individual brain areas. We apply a simple multilinear model that incorporates information about spatial proximity, routing, and diffusion between brain regions to predict their functional connectivity. We find that structure-function relationships vary markedly across the neocortex. Structure and function correspond closely in unimodal, primary sensory, and motor regions, but diverge in transmodal cortex, particularly the default mode and salience networks. The divergence between structure and function systematically follows functional and cytoarchitectonic hierarchies. Altogether, the present results demonstrate that structural and functional networks do not align uniformly across the brain, but gradually uncouple in higher-order polysensory areas.

Indexed as

AdultDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleModels, NeurologicalNeocortexNeural PathwaysWhite Matterconnectomecortical gradientstructure–function

Identifiers

PMID31570622
PMCPMC6800358

What OpenQuestion holds

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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.