Evidence map›Paper›PMID 41001467›Full record

ArticlemedRxiv : the preprint server for health sciences2025

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 readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gradients are increasingly used to characterize the brain's macroscale organization, offering low-dimensional representations of structural and functional connectivity. However, how structural-functional gradient coupling evolves during development 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 7,025 children in the Adolescent Brain Cognitive Development study and 913 adults from the Human Connectome Project. We found that gradient coupling exhibits clear developmental refinement from childhood to adulthood and shows distinct sex-specific patterns. Gradient coupling metrics were significantly associated with a broad range of cognitive and mental health measures and enabled robust out-of-sample prediction under learning methods. Heritability analyses revealed that gradient coupling is strongly influenced by genetic factors. Transcriptomic analyses further demonstrated that highly heritable coupling patterns are enriched for genes expressed in deep-layer excitatory neurons, suggesting that gradient coupling reflects underlying cell-type-specific transcriptional architecture. 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.

Identifiers

PMID41001467
PMCPMC12458513

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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.