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White matter structure-function coupling in neonatal brain and its association with Autism-related traits in early childhood.

Code ↔ Paper

4 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 4 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 › Tract-wise structure-function coupling analysis ↔ afq_analy/baby_dhcp_afq_analycode.ipynb, lines 27–42 · score 0.71 · babyAFQ, template, waypoint, threshold, tractography, segmented
  2. [2] § Materials and methods › Tract-wise structure-function coupling analysis ↔ diff_prep/dt_dhcp_preprocode.ipynb, lines 267–311 · score 0.60 · tissue response functions, GM, CSD, CSF, FA, DT
  3. [3] § Materials and methods › FCT-DT consistency calculation ↔ wmsfc/dynamic_FCTDT.m, lines 1–39 · score 0.60 · FCT DT, functional correlations, neighbors, tensor, fMRI, FA
  4. [4] § Materials and methods › FCT-DT consistency calculation ↔ wmsfc/similar_weight_FCTDT.m, the whole file · a weak match · score 0.51 · functional correlations, weighting, tensor, diffusion, FA, FCT

Paper

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The authors' code

Jupyter notebook · 50 lines · 1.4 KB · no license · 1 match

  1. # %%
  2. ###################################################################################
  3. ###################################################################################
  5. # White matter structure-function coupling in the neonatal brain using baby pyAFQ pipline
  7. # Zhe Zhang, Hangzhou Normal University, 2024.8.15
  9. import os.path as op
  10. import plotly
  11. import wget
  12. import zipfile
  14. from AFQ.api.group import GroupAFQ
  15. import AFQ.api.bundle_dict as abd
  17. import AFQ.data.fetch as afd
  18. from AFQ.definitions.image import ImageFile
  20. # %%
  22. mye_scalar = ImageFile(suffix="t1wt2w", filters={"scope": "wmsfc"})
  23. sfc_scalar = ImageFile(suffix="sfc", filters={"scope": "wmsfc"})
  24. dsfc_scalar = ImageFile(suffix="dynFCTDT", filters={"scope": "wmsfc"})
  27. # %%
  28. myafq = GroupAFQ(
  29. bids_path=op.join(op.expanduser('~'),
  30. "Desktop/data2/AFQ_data/dhcp_dwi_data"),
  31. preproc_pipeline="mrtrix",
  32. reg_template_spec=afd.read_pediatric_templates(
  33. )["UNCNeo-withCerebellum-for-babyAFQ"],
  34. reg_subject_spec="b0",
  35. scalars = ["dti_fa", mye_scalar, sfc_scalar, dsfc_scalar],
  36. bundle_info=abd.baby_bd(),
  37. import_tract={
  38. "suffix": "tractography", "scope": "mrtrix"},
  39. segmentation_params={"filter_by_endpoints": False, 'dist_to_waypoint': 0.75},
  40. clean_params={'distance_threshold': 3},
  41. n_jobs=-1
  42. )
  46. # %%
  48. # myafq.export_all()
  49. viz = myafq.export("all_bundles_figure")
  50. # viz = myafq.export("tract_profiles")

baby_dhcp_afq_analycode.ipynb at commit 53bcfe6, no license · at the source

Overview

Authors: Zhe Zhang1,2,3, Chi Zhang1,3, Xinlin Zhang1,3, Junrui Zhang1,3, Yongxuan Xu1,3, Wenjie Dou1, Mingyang Li4, Weihao Zheng5, Baoming Li1,3
ORCID iDs: Zhe Zhang, Mingyang Li, Baoming Li
  1. Institute of Brain Science and Department of Physiology, School of Basic Medical Sciences, Hangzhou Normal University,Hangzhou, China
  2. School of Physics, Hangzhou Normal University,Hangzhou, China
  3. Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University,Hangzhou, China
  4. Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University,Hangzhou, China
  5. Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University,Lanzhou, China
Institutions: Hangzhou Normal University (China); Zhejiang University (China); Lanzhou University (China)
Journal: Translational psychiatry, volume 16, issue 1, article 364
Dates: received 15 December 2025; accepted 19 May 2026; published online 22 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41398-026-04130-2 · PMID 42173856 · PMCID PMC13369871 · OpenAlex W7162094358
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: structural MRI / diffusion (modality), human (organism), autism (population), developmental (subfield)
Methods: Spectral & time-frequency, Connectivity, Statistics, Smoothing, state filtering, decompositions, Machine learning, Preprocessing, fMRI & imaging
Keywords: Predictive markers, Autism spectrum disorders
MeSH: Autistic Disorder*, Brain*, White Matter*, Connectome, Female, Humans, Infant, Infant, Newborn, Infant, Premature, Magnetic Resonance Imaging, Male (* major topic)
Topic: Advanced Neuroimaging Techniques and Applications (Radiology, Nuclear Medicine and Imaging, Medicine), according to OpenAlex
Funding: This work was supported by the Ministry of Science and Technology of China (STI 2030-Major Project 2021ZD0201705; to B.L.) and the Hangzhou Normal University Discipline and Talent Cultivation Fund (4045C5021920465; to B.L.); Zhejiang Provincial Natural Science Foundation of China (LMS25H180005; to Z.Z.)
Citations: cited by 1 paper (Europe PMC); 69 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Repository

Its files are read in the Code ↔ Paper reader above, with 4 matches between paragraphs and lines of code.

zztute/WM-SFC

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Commit: 53bcfe65bd527df02fb7aec0e9e3e7f79e885c8a, 20 March 2026
Languages: MATLAB (39), Jupyter (2)
Size: 41 files, 41 scripts
Software Heritage: not archived
Found in: “Code availability”
Holds: 2 notebooks
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: Tools for NIfTI and ANALYZE image (MATLAB) (13 files), DIPY (1 file), Image Processing Toolbox (1 file), Parallel Computing Toolbox (1 file), MRtrix3 (1 file), NiBabel (1 file), NumPy (1 file), Plotly (1 file), scikit-image (1 file)
Availability: 1 check, the latest on 28 September 2026: the link answers
  • 28 September 2026: the link answers
41 files
At the source: github.com/zztute/WM-SFC.git

Code availability statement

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Read it in the paper: doi.org/10.1038/s41398-026-04130-2.

Tracing map

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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;
  • 41 scripts, each with its path and the digest of its content;
  • 4 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 statement

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  • no repository, dataset or request procedure was recognized in it

Read it in the paper: doi.org/10.1038/s41398-026-04130-2.

Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 9 authors, 2 keywords, 11 MeSH terms, 2 funders, 69 references.

Cite

This paper

Zhang, Z., Zhang, C., Zhang, X., Zhang, J., Xu, Y., Dou, W., Li, M., Zheng, W., & Li, B. (2026). White matter structure-function coupling in neonatal brain and its association with Autism-related traits in early childhood. Translational psychiatry, 16(1), 364. https://doi.org/10.1038/s41398-026-04130-2

BibTeX

@article{zhang2026white,
author = {Zhang, Zhe and Zhang, Chi and Zhang, Xinlin and Zhang, Junrui and Xu, Yongxuan and Dou, Wenjie and Li, Mingyang and Zheng, Weihao and Li, Baoming},
title = {{White matter structure-function coupling in neonatal brain and its association with Autism-related traits in early childhood}},
journal = {Translational psychiatry},
year = {2026},
month = may,
volume = {16},
number = {1},
pages = {364},
publisher = {Nature Publishing Group},
issn = {2158-3188},
doi = {10.1038/s41398-026-04130-2},
url = {https://doi.org/10.1038/s41398-026-04130-2},
pmid = {42173856},
pmcid = {PMC13369871}
}

RIS

TY - JOUR
AU - Zhang, Zhe
AU - Zhang, Chi
AU - Zhang, Xinlin
AU - Zhang, Junrui
AU - Xu, Yongxuan
AU - Dou, Wenjie
AU - Li, Mingyang
AU - Zheng, Weihao
AU - Li, Baoming
TI - White matter structure-function coupling in neonatal brain and its association with Autism-related traits in early childhood
T2 - Translational psychiatry
J2 - Transl Psychiatry
PY - 2026
DA - 2026/05/22
VL - 16
IS - 1
SP - 364
SN - 2158-3188
PB - Nature Publishing Group
DO - 10.1038/s41398-026-04130-2
UR - https://doi.org/10.1038/s41398-026-04130-2
LA - en
ER -

CSL-JSON

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"author": [
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"given": "Zhe"
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