OSCR

Genetic evidence for causal relationships between brain functional networks and domain-specific recovery after nondisabling ischemic stroke.

Overview

Authors: Huan Cai1, Zhenchun Huang2, Jialin Liang3, Hao Zhang4, Zhonghua Liu1
  1. Department of Rehabilitation, Zhongshan City People’s Hospital, Zhongshan, Guangdong, China
  2. Department of Cardiology, Shantou Central Hospital, Shantou, Guangdong, China
  3. Department of Endocrinology and Metabolism, Zhongshan City People’s Hospital, Zhongshan, Guangdong, China
  4. Department of Neurology, Affiliated Hangzhou First People’s Hospital, Westlake University School of Medicine, Hangzhou, Zhejiang, China
Journal: Experimental biology and medicine (Maywood, N.J.), volume 251, article 10948
Dates: received 23 December 2025; accepted 1 July 2026; published online 13 July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3389/ebm.2026.10948 · PMID 42516175 · PMCID PMC13402224 · OpenAlex W7168131977
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), fMRI (modality), human (organism), stroke (population)
Methods: Statistics, Smoothing, state filtering, decompositions
Keywords: functional connectivity, lipid metabolism, Mendelian randomization, rs-fMRI, stroke recovery
MeSH: Brain*, Ischemic Stroke*, Nerve Net*, Recovery of Function*, Stroke*, Aged, Cognition, Female, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Male, Mendelian Randomization Analysis, Middle Aged, UK Biobank (* major topic)
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 45 references in the paper

Abstract

Intrinsic brain networks are crucial for post-stroke recovery, but the causal relationships between specific networks and domain-specific recovery outcomes, as well as the role of lipid metabolism, remain unclear. This study leveraged Mendelian randomization (MR) to evaluate 191 resting-state functional magnetic resonance imaging (rs-fMRI) BOLD-derived phenotypes in relation to post-stroke recovery after nondisabling ischemic stroke. Genetic instruments for rs-fMRI phenotypes were derived from a UK Biobank genome-wide association study (n = 34,691). Outcomes included motor, cognitive, and global recovery after nondisabling ischemic stroke, assessed using longitudinal National Institutes of Health Stroke Scale subscales over 2 years (n = 1,270). Primary analyses used the multiplicative random-effects inverse-variance weighted method. A two-step MR analysis investigated whether brain networks mediate the effects of lipids on post-stroke outcomes. Higher BOLD-derived functional connectivity within the triple network (default mode network, central executive network, and salience network) was associated with better motor and cognitive outcomes. Higher genetically predicted orbitofrontal node amplitude in the limbic network correlated with better motor recovery, while stronger parieto-frontal connectivity was associated with cognitive recovery. Genetically proxied higher low-density lipoprotein cholesterol (LDL-C) was associated with poorer cognitive recovery, with evidence suggesting partial mediation through differences in BOLD-derived triple-network connectivity. This MR study supports a potential causal role of BOLD-derived functional network phenotypes, particularly the triple network, in motor and cognitive recovery, and further suggests that differences in triple-network connectivity act as a partial mediator linking elevated LDL-C liability to impaired cognitive recovery. These findings provide hypothesis-generating evidence for future mechanistic studies and for exploring whether specific brain network-targeted interventions could have a role in stroke recovery.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none, so it has no map.

Data

Datasets cited

Data availability

Publicly available datasets were analyzed in this study. The summary level data for rs-fMRI phenotypes are available at https://doi.org/10.5281/zenodo.5775047. The summary level data for post-stroke recovery phenotypes and GIGASTROKE data are available at the Cerebrovascular Disease Knowledge Portal. The summary level data for blood lipid measures are available through the NHGRI-EBI GWAS Catalogue.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 2, 28 September 2026

  • Funding: added Traditional Chinese Medicine Bureau of Guangdong Province

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 5 authors, 5 keywords, 15 MeSH terms, 45 references.

Cite

This paper

Cai, H., Huang, Z., Liang, J., Zhang, H., & Liu, Z. (2026). Genetic evidence for causal relationships between brain functional networks and domain-specific recovery after nondisabling ischemic stroke. Experimental biology and medicine (Maywood, N.J.), 251, 10948. https://doi.org/10.3389/ebm.2026.10948

BibTeX

@article{cai2026genetic,
author = {Cai, Huan and Huang, Zhenchun and Liang, Jialin and Zhang, Hao and Liu, Zhonghua},
title = {{Genetic evidence for causal relationships between brain functional networks and domain-specific recovery after nondisabling ischemic stroke}},
journal = {Experimental biology and medicine (Maywood, N.J.)},
year = {2026},
month = jul,
volume = {251},
pages = {10948},
publisher = {Frontiers Media SA},
issn = {1535-3702},
doi = {10.3389/ebm.2026.10948},
url = {https://doi.org/10.3389/ebm.2026.10948},
pmid = {42516175},
pmcid = {PMC13402224}
}

RIS

TY - JOUR
AU - Cai, Huan
AU - Huang, Zhenchun
AU - Liang, Jialin
AU - Zhang, Hao
AU - Liu, Zhonghua
TI - Genetic evidence for causal relationships between brain functional networks and domain-specific recovery after nondisabling ischemic stroke
T2 - Experimental biology and medicine (Maywood, N.J.)
J2 - Exp Biol Med (Maywood)
PY - 2026
DA - 2026/07/13
VL - 251
SP - 10948
SN - 1535-3702
PB - Frontiers Media SA
DO - 10.3389/ebm.2026.10948
UR - https://doi.org/10.3389/ebm.2026.10948
LA - en
ER -

CSL-JSON

{
"id": "10.3389/ebm.2026.10948",
"type": "article-journal",
"title": "Genetic evidence for causal relationships between brain functional networks and domain-specific recovery after nondisabling ischemic stroke",
"container-title": "Experimental biology and medicine (Maywood, N.J.)",
"author": [
{
"family": "Cai",
"given": "Huan"
},
{
"family": "Huang",
"given": "Zhenchun"
},
{
"family": "Liang",
"given": "Jialin"
},
{
"family": "Zhang",
"given": "Hao"
},
{
"family": "Liu",
"given": "Zhonghua"
}
],
"container-title-short": "Exp Biol Med (Maywood)",
"volume": "251",
"page": "10948",
"DOI": "10.3389/ebm.2026.10948",
"PMID": "42516175",
"PMCID": "PMC13402224",
"ISSN": "1535-3702",
"publisher": "Frontiers Media SA",
"URL": "https://doi.org/10.3389/ebm.2026.10948",
"language": "en",
"issued": {
"date-parts": [
[
2026,
7,
13
]
]
}
}

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1002/cns.71114 [code]
Dynamic Functional Connectivity Changes in Cortical and Cortico-Striatal Strokes in Mice.
Journal: CNS neuroscience & therapeutics
In common: stroke, fMRI, 5 references
[2] doi:10.1371/journal.pcbi.1014422 [code]
Deciphering cell type-specific causal genetic effects on brain imaging-derived phenotypes and disorders with single-cell Mendelian randomization.
Journal: PLoS computational biology
In common: genetics / omics, 6 references
[3] doi:10.1038/s43587-026-01106-1 [code]
Repurposing drugs for the prevention of vascular dementia using evidence from drug target Mendelian randomization.
Journal: Nature aging
In common: stroke, genetics / omics, 4 references
[4] doi:10.1097/md.0000000000050109
The gut-immune-brain axis in CNS tumors: Causal roles of microbiota and inflammatory proteins unveiled by Mendelian randomization and single-cell transcriptomics.
Journal: Medicine
In common: genetics / omics, 4 references
[5] doi:10.1038/s41540-026-00754-8
Systematic proteomic analysis of neuroimaging metrics identifies therapeutic targets for pituitary neuroendocrine.
Journal: NPJ systems biology and applications
In common: genetics / omics, 4 references
[6] doi:10.1038/s41598-026-51734-1 [code]
Genome-wide association study of positive and negative affect reveals shared genetic architecture and a potential causal relationship with cognition.
Journal: Scientific reports
In common: genetics / omics, 4 references
[7] doi:10.1097/md.0000000000048634
Identifying therapeutic target genes for stroke through systematic druggable Mendelian randomization analysis.
Journal: Medicine
In common: stroke, genetics / omics, 3 references
[8] doi:10.1161/jaha.125.046208
Integration of Genome-Wide Association Studies With Single-Cell and Bulk Expression Quantitative Trait Locus to Identify Stroke Susceptibility Genes.
Journal: Journal of the American Heart Association
In common: stroke, genetics / omics, 3 references
[9] doi:10.1186/s12984-026-02048-w
Functional reorganization of the contralesional precentral gyrus following acute subcortical ischemic stroke and its association with gene expression profile.
Journal: Journal of neuroengineering and rehabilitation
In common: stroke, fMRI, genetics / omics, 2 references
[10] doi:10.1186/s12967-026-08266-z [code]
Single-cell multi-omic integration analysis prioritizes druggable genes and reveals cell-type-specific causal effects in glioblastomagenesis.
Journal: Journal of translational medicine
In common: genetics / omics, 3 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.

Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.