Evidence map›Paper›PMID 34385454›Full record

ArticleNature communications2021

Heritability and interindividual variability of regional structure-function coupling.

Zijin Gu, Keith Wakefield Jamison, Mert Rory Sabuncu, Amy Kuceyeski

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 1 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

109 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. Structure-function coupling in the human brainstem.bioRxiv : the preprint server for biology · 2026
    Article

49 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

4 authors.

Zijin GuSchool of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0002-0385-2677
Keith Wakefield JamisonDepartment of Radiology, Weill Cornell Medicine, New York, NY, USA.
Mert Rory SabuncuSchool of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA.
Amy KuceyeskiDepartment of Radiology, Weill Cornell Medicine, New York, NY, USA. amk2012@med.cornell.edu.ORCID http://orcid.org/0000-0002-5050-8342

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Multi-Modal Imaging of the Mechanisms Underlying Impaired Executive Attention After Traumatic Brain InjuryR01NS102646 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KUCEYESKI, AMY FRANCES, SHAH, SUDHIN · 2018 to 2022
$2.8M
Advanced machine learning algorithms that integrate genomewide, longitudinal MRI and demographic data to predict future cognitive decline toward dementiaR01AG053949 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI SABUNCU, MERT RORY · 2017 to 2021
$2.4M
Novel Bioinformatics Strategies to Study Associations Between Genetic Variants and Neuroanatomical ShapeR01LM012719 · NLM · CORNELL UNIVERSITY · PI SABUNCU, MERT RORY · 2017 to 2020
$1.4M
Heritability and cognitive implications of structural-functional connectome couplingRF1MH123232 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI KUCEYESKI, AMY FRANCES · 2021 to 2021
$1.3M
Quantifying the role of the connectome in resiliency to multiple sclerosisR21NS104634 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KUCEYESKI, AMY FRANCES · 2017 to 2018
$466k
NIA NIH HHS R01 AG053949NIMH NIH HHS RF1 MH123232NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS102646NINDS NIH HHS R21 NS104634NLM NIH HHS R01 LM012719
6 · The paper itself

Abstract

White matter structural connections are likely to support flow of functional activation or functional connectivity. While the relationship between structural and functional connectivity profiles, here called SC-FC coupling, has been studied on a whole-brain, global level, few studies have investigated this relationship at a regional scale. Here we quantify regional SC-FC coupling in healthy young adults using diffusion-weighted MRI and resting-state functional MRI data from the Human Connectome Project and study how SC-FC coupling may be heritable and varies between individuals. We show that regional SC-FC coupling strength varies widely across brain regions, but was strongest in highly structurally connected visual and subcortical areas. We also show interindividual regional differences based on age, sex and composite cognitive scores, and that SC-FC coupling was highly heritable within certain networks. These results suggest regional structure-function coupling is an idiosyncratic feature of brain organisation that may be influenced by genetic factors.

Indexed as

AlgorithmsModels, NeurologicalAdultBrainConnectomeDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMaleNerve NetYoung Adult

Identifiers

PMID34385454
PMCPMC8361191

What OpenQuestion holds

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Registered trials

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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.