Evidence map›Paper›PMID 41957369›Full record

ArticleNature communications2026

Brain functional-structural gradient coupling reflects development, behavior and genetic influences.

Simiao Gao, Zhiling Gu, Shengxian Ding, Gefei Wang, Zhengwu Zhang, Hongyu Zhao, Yize Zhao

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Simiao Gao *Department of Biostatistics, Yale University, New Haven, CT, USA.
Zhiling Gu *Department of Biostatistics, Yale University, New Haven, CT, USA.ORCID 0000-0002-8052-7608
Shengxian Ding *Department of Biostatistics, Yale University, New Haven, CT, USA.ORCID 0000-0002-3412-7291
Gefei WangDepartment of Biostatistics, Yale University, New Haven, CT, USA.ORCID 0000-0001-5627-9918
Zhengwu ZhangDepartment of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Hongyu ZhaoDepartment of Biostatistics, Yale University, New Haven, CT, USA.ORCID 0000-0003-1195-9607
Yize ZhaoDepartment of Biostatistics, Yale University, New Haven, CT, USA. yize.zhao@yale.edu.ORCID 0000-0001-6283-2302

Funding

An integrative Bayesian approach for linking brain to behavioral phenotypeR01EB034720 · NIBIB · YALE UNIVERSITY · PI R Todd Constable, Yize Zhao · 2023 to 2026
$2.4M
Integrative analysis for patient-centered outcomes and time-to-event data in Alzheimer's diseaseRF1AG081413 · NIA · YALE UNIVERSITY · PI SUN, YIFEI, ZHAO, YIZE · 2023 to 2023
$2.3M
Novel integrative imaging genetics analysis for Alzheimer's disease riskand progressionR01AG068191 · NIA · YALE UNIVERSITY · PI ZHAO, YIZE · 2024 to 2025
$1.2M
Integrative analysis for patient-centered outcomes and time-to-event data in Alzheimer's diseaseR01AG081413 · NIA · YALE UNIVERSITY · PI Yifei Sun, Yize Zhao · 2026 to 2026
$722k
NIA NIH HHS R01 AG068191NIA NIH HHS R01 AG081413NIBIB NIH HHS R01 EB034720U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AG068191U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01EB034720U.S. Department of Health & Human Services | National Institutes of Health (NIH) RF1AG081413
6 · The paper itself

Abstract

Gradients provide low-dimensional representations of macroscale brain organization, yet how structural-functional gradient coupling develops and relates to behavioral and molecular features remains unclear. Here, we studied structural-functional gradient coupling across multiple metrics and spatial scales using high-resolution structural and functional connectivity from 5343 children in the Adolescent Brain Cognitive Development study and 875 adults from the Human Connectome Project. We find that gradient coupling shows developmental refinement from childhood to adulthood and distinct sex-specific patterns. Gradient coupling metrics are significantly associated with cognitive and mental health measures and enable robust out-of-sample prediction. Heritability analyses reveal that gradient coupling is strongly influenced by genetic factors. Transcriptomic analyses further demonstrate that highly heritable coupling patterns are enriched for genes expressed in deep-layer excitatory neurons. Together, our findings establish structural-functional gradient coupling as a biologically meaningful feature of brain organization that bridges macroscale connectivity, cognition, behavior, and molecular architecture.

Indexed as

BehaviorBrainAdolescentAdultChildCognitionConnectomeFemaleHumansMagnetic Resonance ImagingMaleYoung Adult

Identifiers

PMID41957369
PMCPMC13222887

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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.