Evidence map›Paper›PMID 34244483›Full record

Observational studyNature communications2021

Genetic influences on hub connectivity of the human connectome.

Aurina Arnatkeviciute, Ben D Fulcher, Stuart Oldham, Jeggan Tiego, Casey Paquola, Zachary Gerring, Kevin Aquino, Ziarih Hawi, Beth Johnson, Gareth Ball and 5 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 1 pooled it
19.7field-weighted citation impact, top 1% 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

102 citing papers in PubMed, 1 synthesis or guideline pooled it, 183 citations in OpenAlex.

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42 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

15 authors at 8 institutions in 6 countries.

Aurina ArnatkeviciuteThe Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia. aurina.arnatkeviciute@monash.edu.
Ben D Fulcher *The Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-3003-4055
Stuart Oldham *The Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.
Jeggan TiegoThe Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0001-7835-6398
Casey PaquolaMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0002-0190-4103
Zachary GerringTranslational Neurogenomics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0002-2445-1266
Kevin AquinoThe Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.
Ziarih HawiThe Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.
Beth JohnsonThe Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.
Gareth BallDevelopmental Imaging, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Marieke KleinDepartment of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0001-8784-5679
Gustavo DecoThe Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-8995-7583
Barbara FrankeDepartment of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0003-4375-6572
Mark A BellgroveThe Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0003-0186-8349
Alex FornitoThe Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0003-0866-3477
Monash University · AURadboud University Nijmegen · NLThe University of Sydney · AUInstitució Catalana de Recerca i Estudis Avançats · ESMonash Health · AUMontreal Neurological Institute and Hospital · CAQIMR Berghofer Medical Research Institute · AUThe University of Melbourne · AU

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

Brain network hubs are both highly connected and highly inter-connected, forming a critical communication backbone for coherent neural dynamics. The mechanisms driving this organization are poorly understood. Using diffusion-weighted magnetic resonance imaging in twins, we identify a major role for genes, showing that they preferentially influence connectivity strength between network hubs of the human connectome. Using transcriptomic atlas data, we show that connected hubs demonstrate tight coupling of transcriptional activity related to metabolic and cytoarchitectonic similarity. Finally, comparing over thirteen generative models of network growth, we show that purely stochastic processes cannot explain the precise wiring patterns of hubs, and that model performance can be improved by incorporating genetic constraints. Our findings indicate that genes play a strong and preferential role in shaping the functionally valuable, metabolically costly connections between connectome hubs.

Indexed as

ConnectomeGene Regulatory NetworksAdultBrainDatasets as TopicDiffusion Magnetic Resonance ImagingFemaleGene Expression ProfilingHumansMaleModels, GeneticNerve NetTwins

Identifiers

PMID34244483
PMCPMC8271018
OpenAlexW3179229384

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.