Evidence map›Paper›PMID 26860437›Full record

ArticleBrain connectivity2016

A Mapping Between Structural and Functional Brain Networks.

Jil Meier, Prejaas Tewarie, Arjan Hillebrand, Linda Douw, Bob W van Dijk, Steven M Stufflebeam, Piet Van Mieghem

Open access · greenAbstract read
In one paragraph

Article in Brain connectivity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
8.7field-weighted citation impact, top 2% of its field
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

73 citing papers in PubMed, 156 citations in OpenAlex.

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  8. Topological and geometric signatures of brain network dynamics in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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13 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 at 4 institutions in 2 countries.

Jil Meier1 Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology , The Netherlands .
Prejaas Tewarie2 Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center , Amsterdam, The Netherlands .
Arjan Hillebrand3 Department of Clinical Neurophysiology and Magnetoencephalography Center, Neuroscience Campus Amsterdam, VU University Medical Center , Amsterdam, The Netherlands .
Linda Douw4 Department of Anatomy and Neurosciences, VU University Medical Center , Amsterdam, The Netherlands .
Bob W van Dijk3 Department of Clinical Neurophysiology and Magnetoencephalography Center, Neuroscience Campus Amsterdam, VU University Medical Center , Amsterdam, The Netherlands .
Steven M Stufflebeam5 Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging/Massachusetts General Hospital , Boston, Massachusetts.
Piet Van Mieghem1 Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology , The Netherlands .
Amsterdam Neuroscience · NLDelft University of Technology · NLAmsterdam UMC Location VUmc · NLAthinoula A. Martinos Center for Biomedical Imaging · US

Funding

Functional Connectivity of Intrinsic Brain Activity for Presurgical MappingR01NS069696 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI STUFFLEBEAM, STEVEN · 2011 to 2015
$2.9M
NINDS NIH HHS R01 NS069696
6 · The paper itself

Abstract

The relationship between structural and functional brain networks is still highly debated. Most previous studies have used a single functional imaging modality to analyze this relationship. In this work, we use multimodal data, from functional MRI, magnetoencephalography, and diffusion tensor imaging, and assume that there exists a mapping between the connectivity matrices of the resting-state functional and structural networks. We investigate this mapping employing group averaged as well as individual data. We indeed find a significantly high goodness of fit level for this structure-function mapping. Our analysis suggests that a functional connection is shaped by all walks up to the diameter in the structural network in both modality cases. When analyzing the inverse mapping, from function to structure, longer walks in the functional network also seem to possess minor influence on the structural connection strengths. Even though similar overall properties for the structure-function mapping are found for different functional modalities, our results indicate that the structure-function relationship is modality dependent.

Indexed as

BrainBrain MappingDatabases, FactualDiffusion Tensor ImagingHumansMagnetic Resonance ImagingMagnetoencephalographyMultimodal ImagingNerve NetNeural PathwaysRestStructure-Activity Relationshipbrain networksDT1fMRIfunctional connectivityfunctional networksmatrix mappingMEGstructural connectivitystructural networks

Identifiers

PMID26860437
PMCPMC4939447
OpenAlexW2257375677

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.