OSCR

Post-Stroke Depression Is Associated With Shared Neurodevelopmental Risk and Circuit Disruption.

Overview

Authors: Zhi‐Jie Xu1,2, Su‐Xiang Zhang3, Ji‐Ling Li3,4, Jia‐Jia Wu2,5, Jie Ma2,5, Zhen‐Zhen Ma3, Ji‐Ming Tao3, Xu‐Yun Hua4, Jian‐Guang Xu1,2
ORCID iDs: Xu‐Yun Hua
  1. School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
  2. Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai, China
  3. Department of Rehabilitation, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
  4. Department of Traumatology and Orthopedics, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
  5. Center of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
Journal: Brain and behavior, volume 16, issue 5, article e71502
Dates: received 10 February 2026; accepted 12 May 2026; published online 24 May 2026; in print May 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1002/brb3.71502 · PMID 42178876 · PMCID PMC13239996 · OpenAlex W7162328411
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: genetics / omics (modality), fMRI (modality), human (organism), mouse (organism), stroke (population), depression (population), developmental (subfield)
Methods: Spectral & time-frequency, Connectivity, Statistics, Smoothing, state filtering, decompositions, fMRI & imaging, Preprocessing, Machine learning
Keywords: default mode network, neurodevelopment, post‐stroke depression, shared genetic risk
MeSH: Depression*, Nerve Net*, Stroke*, Adult, Animals, Brain, Female, Genetic Predisposition to Disease, Histone Deacetylases, Humans, Magnetic Resonance Imaging, Male, Mice, Middle Aged, Multifactorial Inheritance, Neurodevelopment, Repressor Proteins (* major topic)
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Shanghai Hospital Development Center Foundation-Shanghai Municipal Hospital Rehabilitation Medicine Specialty Alliance (SHDC22023304); Shanghai Health Care Commission (2022JC026); National Natural Science Foundation of China (82272583, 82272589, 82172554, 82302870); High-Level Chinese Medicine Key Discipline Construction Project (Integrative Chinese and Western Medicine Clinic) of the National Administration of TCM (zyyzdxk-2023065)
Citations: not cited yet (Europe PMC); 58 references in the paper

Abstract

Introduction: Post‐stroke depression (PSD) affects approximately 30% of stroke survivors and worsens functional outcomes, yet its biological basis remains poorly understood.

Methods: We integrated cross‐disorder genomics, developmental spatial transcriptomics, and causal neuroimaging in 16 PSD patients and 14 matched controls. Polygenic overlap was quantified using MiXeR and conditional FDR (condFDR). Shared risk variants were mapped using genetically informed spatial mapping of cells for complex traits (gsMap) onto the embryonic mouse brain (E16.5). Resting‐state fMRI with group independent component analysis (ICA), functional network connectivity (FNC), and spectral dynamic causal modeling (spDCM) characterised circuit‐level alterations.

Results: Stroke and depression showed robust polygenic overlap (Dice = 0.09). condFDR prioritized five pleiotropic loci implicating HDAC9‐mediated neurovascular inflammation and PITX2‐driven cardio‐cerebral signaling. gsMap revealed enrichment of shared genetic risk in developing cortical regions at E16.5. PSD exhibited selective default mode network (DMN)–sensorimotor network (SMN) decoupling and reduced directed DMN→SMN influence (BPA = –0.12 Hz; Pp > 0.99). Auditory network (AN) outflow to DMN, SMN, and ventral attention network (VAN) was broadly attenuated, and AN→DMN effective connectivity scaled with depressive severity (BPA = –0.19 Hz; Pp > 0.99).

Conclusion: PSD reflects a unified developmental–acquired pathophysiology where latent developmental genetic vulnerability, revealed at E16.5, is unmasked by stroke‐triggered circuit decompensation. HDAC9/PITX2 pathways and AN–DMN circuitry are mechanistically grounded targets for potential biomarker development and circuit‐informed interventions.

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

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none (its code is available on request), so it has no map.

Data

No dataset and no data link were found in the paper.

Data Availability Statement

Publicly available GWAS summary statistics were obtained from the consortia repositories detailed in Section 2. The following researcher‐generated materials are available from the corresponding author upon reasonable request: (i) derived neuroimaging measures (e.g., subject‐specific regional BOLD time series); (i) statistical outputs (e.g., PEB parameter estimates and effective connectivity matrices); and (iii) analysis scripts for data preprocessing, spDCM modeling, and statistical inference (implemented in MATLAB/SPM12). All materials will be shared in standardized formats within 30 days of request, subject to institutional data‐use agreements and ethical approvals.

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 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 9 authors, 4 keywords, 17 MeSH terms, 4 funders, 58 references.

Cite

This paper

Xu, Z., Zhang, S., Li, J., Wu, J., Ma, J., Ma, Z., Tao, J., Hua, X., & Xu, J. (2026). Post-Stroke Depression Is Associated With Shared Neurodevelopmental Risk and Circuit Disruption. Brain and behavior, 16(5), e71502. https://doi.org/10.1002/brb3.71502

BibTeX

@article{xu2026post,
author = {Xu, Zhi‐Jie and Zhang, Su‐Xiang and Li, Ji‐Ling and Wu, Jia‐Jia and Ma, Jie and Ma, Zhen‐Zhen and Tao, Ji‐Ming and Hua, Xu‐Yun and Xu, Jian‐Guang},
title = {{Post-Stroke Depression Is Associated With Shared Neurodevelopmental Risk and Circuit Disruption}},
journal = {Brain and behavior},
year = {2026},
month = may,
volume = {16},
number = {5},
pages = {e71502},
publisher = {Wiley},
issn = {2162-3279},
doi = {10.1002/brb3.71502},
url = {https://doi.org/10.1002/brb3.71502},
pmid = {42178876},
pmcid = {PMC13239996}
}

RIS

TY - JOUR
AU - Xu, Zhi‐Jie
AU - Zhang, Su‐Xiang
AU - Li, Ji‐Ling
AU - Wu, Jia‐Jia
AU - Ma, Jie
AU - Ma, Zhen‐Zhen
AU - Tao, Ji‐Ming
AU - Hua, Xu‐Yun
AU - Xu, Jian‐Guang
TI - Post-Stroke Depression Is Associated With Shared Neurodevelopmental Risk and Circuit Disruption
T2 - Brain and behavior
J2 - Brain Behav
PY - 2026
DA - 2026/05/01
VL - 16
IS - 5
SP - e71502
SN - 2162-3279
PB - Wiley
DO - 10.1002/brb3.71502
UR - https://doi.org/10.1002/brb3.71502
LA - en
ER -

CSL-JSON

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