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Synergistic effects of cerebral small vessel disease burden and plasma phosphorylated tau 181 on white matter microstructure and cognition in a Chinese cohort.

Code ↔ Paper

3 matches between paragraphs of the paper and lines of its authors' code, computed by the harvester (lexical-v1). Click a colored paragraph or line to see its counterpart.

The 3 matches · 1 of them tie a paragraph to a whole file, not to given lines: a weak match, whose lines are not tinted
  1. [1] § Materials and methods › Brain MRI acquisition and processing ↔ DTIFIT.sh, the whole file · a weak match · score 0.84 · skull stripping, diffusion tensors, diffusion MRI, DTIFIT, distortion, fitted
  2. [2] § Materials and methods › Brain MRI acquisition and processing ↔ 4fnirt_T1_and_brain_volume.R, lines 234–315 · score 0.70 · Harvard Oxford, SIENAX, parcellations, cortical, atlases, Volumetric
  3. [3] § Results › Association between p-tau181, WM tracts and cognitive function moderated by CSVD burden ↔ Analysis.R, lines 87–138 · score 0.52 · MoCA, ISP, EM, LF, status, EF

Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

The paper is loaded when this pane is shown.

The authors' code

Shell · 25 lines · 707 B · no license · 1 match

  1. #!/bin/bash
  2. cd $1
  3. # 1. Prepare file to run dti fit
  4. # ditfit needs: data_ud nodif_brain_mask_ud
  5. # Extract b0
  6. if [ ! -e DTI/nodif_ud.nii.gz ]; then
  7. fslroi DTI/data_ud.nii.gz DTI/nodif_ud.nii.gz 0 1
  8. fi
  9. # Skull stripping on nodif image and generates nodif brain mask for eddy (distorted)
  10. if [ ! -e DTI/nodif_brain.nii.gz ]; then
  11. bet DTI/nodif_ud.nii.gz DTI/nodif_ud_brain -m -f 0.2 -o -R
  12. fi
  13. # 2. Fit the diffusion tensor model using dtifit
  14. # Automatically creates FA, MD, MO maps from a diffusion MRI
  15. if [ ! -d DTI/dtifit ]; then
  16. mkdir DTI/dtifit
  17. fi
  18. if [ ! -e DTI/dtifit/dti_FA.nii.gz ]; then
  19. dtifit -k DTI/data_ud -m DTI/nodif_ud_brain_mask -r DTI/bvecs -b DTI/bvals -o DTI/dtifit/dti
  20. fi

DTIFIT.sh at commit 96971cf, no license · at the source

Overview

Authors: Jingxian Xu1, Hao-Jie Chen2,3, Yichen Wang2,4,5, Zheqi Hu1, Zhihong Ke1, Lili Huang1,6,7,8, Yuting Mo1,6,7,8, Dan Yang1, Chenglu Mao1, Ying Chen1, Xiaolei Zhu1,6,7,8, Haifeng Chen1,6,7,8,9, Ni Shu2,4,5, Yun Xu1,6,7,8,9
  1. Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China
  2. State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
  3. Division of Life Science and State Key Laboratory of Nervous System Disorders, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong 999077, China
  4. BABRI Center, Beijing Normal University, Beijing 100875, China
  5. Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China
  6. Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing 210008, China
  7. Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing Drum Tower Hospital, Nanjing 210008, China
  8. Nanjing Neuropsychiatry Clinic Medical Center, Nanjing Drum Tower Hospital, Nanjing 210008, China
  9. Department of Neurology, Nanjing Drum Tower Hospital, Nanjing Drum Tower Hospital Clinical College, Nanjing University of Chinese Medicine, Nanjing 210008, China
Journal: Brain communications, volume 8, issue 2, article fcag080
Dates: received 28 June 2025; accepted 10 March 2026; published online 12 March 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1093/braincomms/fcag080 · PMID 41907318 · PMCID PMC13022830 · OpenAlex W7135210348
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: structural MRI / diffusion (modality), other (modality), human (organism), Alzheimer's / dementia (population), stroke (population)
Methods: Connectivity, Statistics, fMRI & imaging, Smoothing, state filtering, decompositions
Keywords: CSVD, cognitive impairment, plasma biomarker, white matter, synergistic effects
Topic: Dementia and Cognitive Impairment Research (Psychiatry and Mental health, Medicine), according to OpenAlex
Funding: Noncommunicable Chronic Diseases-National Science and Technology Major Project (2023ZD0504902); STI2030-Major Projects (2022ZD0211800, 2022ZD0213300); National Natural Science Foundation of China (32271145, 81920108017, 82101539, 81871425, 82130036); Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning (CNLZD2303, CNLZD2101); Fundamental Research Funds for the Central Universities (2017XTCX04); Medical School of Nanjing University (2021-LCYJ-PY-30); Key Research and Development Program of Jiangsu Province of China (BE2020620); Jiangsu Province Key Medical Discipline (ZDXKA2016020); Affiliated Drum Tower Hospital
Citations: not cited yet (Europe PMC); 79 references in the paper

Abstract

Cerebral small vessel disease (CSVD) burden and plasma biomarkers are both critically associated with white matter (WM) microstructural damage and cognitive decline. However, whether these factors interact synergistically to exacerbate brain degeneration and cognitive decline remains unclear. We included 375 Chinese participants from the Aging cohort at Nanjing Drum Tower Hospital: 144 with no CSVD, 103 with mild CSVD (CSVD-I) and 128 with moderate to severe CSVD (CSVD-II). All participants underwent comprehensive cognitive assessment, plasma biomarker quantification and MRI scanning. Diffusion tensor imaging was used to evaluate WM microstructure. Interaction effects between CSVD burden and plasma biomarkers were analysed, and path analyses were performed to explore how two factors synergistically influence WM tracts and cognitive impairment. We found significant interactions between phosphorylated tau 181 (p-tau181) and CSVD burden on the integrity of multiple WM tracts (PFDR < 0.05). The CSVD-II showed the strongest effect of p-tau181 on neurofilament light, as well as an indirect effect of the cingulum mediating the relationship between p-tau181 and cognition [ΔIE¯ = −0.108, 90% CI = (−0.25, −0.0302)]. Our findings suggest that vascular and molecular pathologies synergistically contribute to WM integrity damage and cognitive impairment. Targeting both vascular and molecular factors may be crucial for developing effective interventions to mitigate cognitive decline in the elderly population.

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

Repository

Its files are read in the Code ↔ Paper reader above, with 3 matches between paragraphs and lines of code.

xjx98/SynergisticEffectsofCSVDandAD

License: none: the authors keep all their rights
State: the link answers, verified on 30 September 2026
Evidence: files inventoried
Commit: 96971cfea6485a3c549161474675690eaf8c1bbd, 11 December 2025
Languages: R (9), Shell (8)
Size: 30 files, 17 scripts
Software Heritage: not archived
Found in: “Data availability”
Holds: README
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: FSL (12 files), tidyverse (9 files), FreeSurfer (2 files), broom (1 file), dcm2niix (1 file)
Availability: 1 check, the latest on 30 September 2026: the link answers
  • 30 September 2026: the link answers
18 files

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

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 17 scripts, each with its path and the digest of its content;
  • 3 matches between paragraphs of the paper and lines of the code (method lexical-v1);
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

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

Data availability

Data will be made available on request from the authors. The processing pipeline scripts are openly available in GitHub (https://github.com/xjx98/SynergisticEffectsofCSVDandAD).

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, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 14 authors, 5 keywords, 9 funders, 75 references.

Cite

This paper

Xu, J., Chen, H.-J., Wang, Y., Hu, Z., Ke, Z., Huang, L., Mo, Y., Yang, D., Mao, C., Chen, Y., Zhu, X., Chen, H., Shu, N., & Xu, Y. (2026). Synergistic effects of cerebral small vessel disease burden and plasma phosphorylated tau 181 on white matter microstructure and cognition in a Chinese cohort. Brain communications, 8(2), fcag080. https://doi.org/10.1093/braincomms/fcag080

BibTeX

@article{xu2026synergistic,
author = {Xu, Jingxian and Chen, Hao-Jie and Wang, Yichen and Hu, Zheqi and Ke, Zhihong and Huang, Lili and Mo, Yuting and Yang, Dan and Mao, Chenglu and Chen, Ying and Zhu, Xiaolei and Chen, Haifeng and Shu, Ni and Xu, Yun},
title = {{Synergistic effects of cerebral small vessel disease burden and plasma phosphorylated tau 181 on white matter microstructure and cognition in a Chinese cohort}},
journal = {Brain communications},
year = {2026},
month = mar,
volume = {8},
number = {2},
pages = {fcag080},
publisher = {Oxford University Press},
issn = {2632-1297},
doi = {10.1093/braincomms/fcag080},
url = {https://doi.org/10.1093/braincomms/fcag080},
pmid = {41907318},
pmcid = {PMC13022830}
}

RIS

TY - JOUR
AU - Xu, Jingxian
AU - Chen, Hao-Jie
AU - Wang, Yichen
AU - Hu, Zheqi
AU - Ke, Zhihong
AU - Huang, Lili
AU - Mo, Yuting
AU - Yang, Dan
AU - Mao, Chenglu
AU - Chen, Ying
AU - Zhu, Xiaolei
AU - Chen, Haifeng
AU - Shu, Ni
AU - Xu, Yun
TI - Synergistic effects of cerebral small vessel disease burden and plasma phosphorylated tau 181 on white matter microstructure and cognition in a Chinese cohort
T2 - Brain communications
J2 - Brain Commun
PY - 2026
DA - 2026/03/12
VL - 8
IS - 2
SP - fcag080
SN - 2632-1297
PB - Oxford University Press
DO - 10.1093/braincomms/fcag080
UR - https://doi.org/10.1093/braincomms/fcag080
LA - en
ER -

CSL-JSON

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