OSCR

Mapping shared and specific cortical after-effects of repetitive TMS on brain function.

Code ↔ Paper

The paper beside its authors' code: matches between them have not been computed for this paper yet.

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

Python · 126 lines · 4.1 KB · CC-BY-NC-SA-4.0

  1. #!/usr/bin/env python3
  2. # -*- coding: utf-8 -*-
  3. #
  4. # Configuration file for the Sphinx documentation builder.
  6. # -- Path setup --------------------------------------------------------------
  8. # If extensions (or modules to document with autodoc) are in another directory,
  9. # add these directories to sys.path here. If the directory is relative to the
  10. # documentation root, use os.path.abspath to make it absolute, like shown here.
  11. import os
  12. import sys
  14. # -- Project information -----------------------------------------------------
  16. # Add project name, copyright holder, and author(s)
  17. project = 'neuromaps'
  18. copyright = '2021-2023, neuromaps developers'
  19. author = 'Network Neuroscience Lab'
  21. # Import project to get version info
  22. sys.path.insert(0, os.path.abspath(os.path.pardir))
  23. import neuromaps # noqa
  24. # The short X.Y version
  25. version = neuromaps.__version__
  26. # The full version, including alpha/beta/rc tags
  27. release = neuromaps.__version__
  29. # -- General configuration ---------------------------------------------------
  31. # Add any Sphinx extension module names here, as strings. They can be
  32. # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
  33. # ones.
  34. extensions = [
  35. 'sphinx.ext.autodoc',
  36. 'sphinx.ext.autosummary',
  37. 'sphinx.ext.doctest',
  38. 'sphinx.ext.intersphinx',
  39. 'sphinx.ext.mathjax',
  40. 'sphinx.ext.napoleon',
  41. 'sphinx.ext.viewcode',
  42. 'sphinx_gallery.gen_gallery'
  43. ]
  45. # Generate the API documentation when building
  46. autosummary_generate = True
  47. autodoc_default_options = {'members': True, 'inherited-members': True}
  48. numpydoc_show_class_members = False
  49. autoclass_content = "class"
  51. # Add any paths that contain templates here, relative to this directory.
  52. templates_path = ['_templates']
  54. # The suffix(es) of source filenames.
  55. source_suffix = '.rst'
  57. # The master toctree document.
  58. master_doc = 'index'
  60. # The language for content autogenerated by Sphinx. Refer to documentation
  61. # for a list of supported languages.
  62. #
  63. # This is also used if you do content translation via gettext catalogs.
  64. # Usually you set "language" from the command line for these cases.
  65. language = 'en'
  67. # List of patterns, relative to source directory, that match files and
  68. # directories to ignore when looking for source files.
  69. # This pattern also affects html_static_path and html_extra_path .
  70. exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
  72. # The name of the Pygments (syntax highlighting) style to use.
  73. pygments_style = 'sphinx'
  75. # -- Options for HTML output -------------------------------------------------
  77. # The theme to use for HTML and HTML Help pages. See the documentation for
  78. # a list of builtin themes.
  79. import sphinx_rtd_theme # noqa
  80. html_theme = 'sphinx_rtd_theme'
  81. html_show_sourcelink = False
  82. html_logo = '_static/neuromaps_logo.png'
  84. # Theme options are theme-specific and customize the look and feel of a theme
  85. # further. For a list of options available for each theme, see the
  86. # documentation.
  87. html_theme_options = {'logo_only': True}
  89. # Add any paths that contain custom static files (such as style sheets) here,
  90. # relative to this directory. They are copied after the builtin static files,
  91. # so a file named "default.css" will overwrite the builtin "default.css".
  92. html_static_path = ['_static']
  94. # CSS files to include
  95. html_css_files = ['theme_overrides.css']
  97. # -- Options for HTMLHelp output ---------------------------------------------
  99. # Output file base name for HTML help builder.
  100. htmlhelp_basename = 'neuromapsdoc'
  102. # -- Extension configuration -------------------------------------------------
  103. intersphinx_mapping = {
  104. 'python': ('https://docs.python.org', None),
  105. 'matplotlib': ('https://matplotlib.org', None),
  106. 'numpy': ('https://docs.scipy.org/doc/numpy', None),
  107. 'scipy': ('https://docs.scipy.org/doc/scipy/reference', None),
  108. }
  110. doctest_global_setup = """\
  111. import numpy as np
  112. np.random.seed(1234)
  114. from neuromaps.dasets import fetch_all_atlases
  115. fetch_all_atlases(verbose=0)\
  116. """
  118. sphinx_gallery_conf = {
  119. 'doc_module': 'neuromaps',
  120. 'backreferences_dir': os.path.join('generated', 'modules'),
  121. 'reference_url': {
  122. 'neuromaps': None
  123. },
  124. 'thumbnail_size': (250, 250),
  125. 'ignore_pattern': r'/wip.*\.py',
  126. }

conf.py at commit ffcc2e0, under CC-BY-NC-SA-4.0 · at the source

Overview

Authors: Yating Lv1, Zijian Feng1, Fengmei Fan2, Jinhui Wang3, Jingsong Wu4, Zaixu Cui5, Mingrui Xia6, Gong-Jun Ji7, Xiujuan Geng8, Liyang Sai9,10, Qihong Zou11
ORCID iDs: Xiujuan Geng
  1. Department of Neurology, Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
  2. Beijing Huilongguan Hospital, Peking University, Beijing, China
  3. Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
  4. College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
  5. Chinese Institute for Brain Research, Beijing, China
  6. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
  7. Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
  8. Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong, China
  9. Zhejiang Philosophy and Social Science, Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou, China
  10. Department of Psychology, Hangzhou Normal University, Hangzhou, China
  11. Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
Institutions: Affiliated Hospital of Hangzhou Normal University (China); Peking University (China); Beijing HuiLongGuan Hospital (China); South China Normal University (China); Fujian University of Traditional Chinese Medicine (China); Chinese Institute for Brain Research (China); Beijing Normal University (China); State Key Laboratory of Cognitive Neuroscience and Learning; First Affiliated Hospital of Anhui Medical University (China); Chinese University of Hong Kong (Hong Kong SAR China); Hangzhou Normal University (China)
Journal: BMC medicine, volume 24, issue 1, article 428
Dates: received 16 January 2026; accepted 1 June 2026; published online 3 June 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1186/s12916-026-04978-7 · PMID 42237355 · PMCID PMC13459924 · OpenAlex W7163371524
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: other (modality), human (organism)
Methods: Statistics, Smoothing, state filtering, decompositions, Preprocessing, fMRI & imaging
Keywords: rTMS, Sensory-association, Neurotransmitters, Cognition, Brain disorders
MeSH: Brain*, Brain Mapping*, Cerebral Cortex*, Transcranial Magnetic Stimulation*, Female, Humans, Magnetic Resonance Imaging, Male (* major topic)
Topic: Transcranial Magnetic Stimulation Studies (Neurology, Neuroscience), according to OpenAlex
Funding: the Youth Program of National Natural Science Foundation of China (31701002 and 8180418); Anhui Province Outstanding Youth Fund (2024AH020004); Beijing Natural Science Foundation (JQ23033); the STI2030-Major Projects (2022ZD0210800); the Construction Fund of Key Medical Disciplines of Hangzhou (2025HZGF02); The Brain Science and Brain-like Intelligence Technology - National Science and Technology Major Project (2021ZD0200800); the National Natural Scientific Foundation of China (82372034 and 81871427, 32271111, 82371507); Medical and Health Science Program of Zhejiang Province (2025HY0687); Beijing United Imaging Research Institute of Intelligent Imaging Foundation (CRIBJZD202101)
Citations: not cited yet (Europe PMC); 97 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.

Repositories

Its files are read in the Code ↔ Paper reader above.

netneurolab/neuromaps

License: CC-BY-NC-SA-4.0
State: the link answers, verified on 26 September 2026
Evidence: files inventoried
Commit: ffcc2e0f657943ce00a1b6a968396f32250e495c, 4 June 2026
Languages: Python (45), Shell (3)
Size: 90 files, 48 scripts
Software Heritage: archived
Found in: “Data availability”
Holds: README, license file, environment (Dockerfile, pyproject.toml, requirements.txt, setup.py, docs/requirements.txt), tests, continuous integration, documentation
Not found: CITATION.cff
Tools: neuromaps (29 files), NumPy (19 files), NiBabel (8 files), SciPy (7 files), Nilearn (5 files), scikit-learn (3 files), Matplotlib (2 files), BrainSMASH (1 file), BrainSpace (1 file), pandas (1 file)
Availability: 1 check, the latest on 26 September 2026: the link answers
  • 26 September 2026: the link answers
50 files
At the source: github.com/netneurolab/neuromaps

netneurolab/hansen

License: none: the authors keep all their rights
State: the link is dead, verified on 27 September 2026
Evidence: found in the paper
Software Heritage: not archived
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link is dead
  • 27 September 2026: the link is dead
At the source: github.com/netneurolab/hansen

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:

  • 2 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 48 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • 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.

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1186/s12916-026-04978-7.

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, 11 authors, 5 keywords, 8 MeSH terms, 9 funders, 95 references.

Cite

This paper

Lv, Y., Feng, Z., Fan, F., Wang, J., Wu, J., Cui, Z., Xia, M., Ji, G.-J., Geng, X., Sai, L., & Zou, Q. (2026). Mapping shared and specific cortical after-effects of repetitive TMS on brain function. BMC medicine, 24(1), 428. https://doi.org/10.1186/s12916-026-04978-7

BibTeX

@article{lv2026mapping,
author = {Lv, Yating and Feng, Zijian and Fan, Fengmei and Wang, Jinhui and Wu, Jingsong and Cui, Zaixu and Xia, Mingrui and Ji, Gong-Jun and Geng, Xiujuan and Sai, Liyang and Zou, Qihong},
title = {{Mapping shared and specific cortical after-effects of repetitive TMS on brain function}},
journal = {BMC medicine},
year = {2026},
month = jun,
volume = {24},
number = {1},
pages = {428},
publisher = {BioMed Central},
issn = {1741-7015},
doi = {10.1186/s12916-026-04978-7},
url = {https://doi.org/10.1186/s12916-026-04978-7},
pmid = {42237355},
pmcid = {PMC13459924}
}

RIS

TY - JOUR
AU - Lv, Yating
AU - Feng, Zijian
AU - Fan, Fengmei
AU - Wang, Jinhui
AU - Wu, Jingsong
AU - Cui, Zaixu
AU - Xia, Mingrui
AU - Ji, Gong-Jun
AU - Geng, Xiujuan
AU - Sai, Liyang
AU - Zou, Qihong
TI - Mapping shared and specific cortical after-effects of repetitive TMS on brain function
T2 - BMC medicine
J2 - BMC Med
PY - 2026
DA - 2026/06/03
VL - 24
IS - 1
SP - 428
SN - 1741-7015
PB - BioMed Central
DO - 10.1186/s12916-026-04978-7
UR - https://doi.org/10.1186/s12916-026-04978-7
LA - en
ER -

CSL-JSON

{
"id": "10.1186/s12916-026-04978-7",
"type": "article-journal",
"title": "Mapping shared and specific cortical after-effects of repetitive TMS on brain function",
"container-title": "BMC medicine",
"author": [
{
"family": "Lv",
"given": "Yating"
},
{
"family": "Feng",
"given": "Zijian"
},
{
"family": "Fan",
"given": "Fengmei"
},
{
"family": "Wang",
"given": "Jinhui"
},
{
"family": "Wu",
"given": "Jingsong"
},
{
"family": "Cui",
"given": "Zaixu"
},
{
"family": "Xia",
"given": "Mingrui"
},
{
"family": "Ji",
"given": "Gong-Jun"
},
{
"family": "Geng",
"given": "Xiujuan"
},
{
"family": "Sai",
"given": "Liyang"
},
{
"family": "Zou",
"given": "Qihong"
}
],
"container-title-short": "BMC Med",
"volume": "24",
"issue": "1",
"page": "428",
"DOI": "10.1186/s12916-026-04978-7",
"PMID": "42237355",
"PMCID": "PMC13459924",
"ISSN": "1741-7015",
"publisher": "BioMed Central",
"URL": "https://doi.org/10.1186/s12916-026-04978-7",
"language": "en",
"issued": {
"date-parts": [
[
2026,
6,
3
]
]
}
}

The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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:10.1038/s41467-026-75959-w [code]
Charting higher-order models of brain function beyond pairwise interactions.
Journal: Nature communications
In common: neuromaps, BrainSpace, Nilearn, 6 other tools, 10 references
[2] doi:10.1038/s41586-026-10631-3 [code]
A prognostic human brain network for diffuse midline glioma.
Journal: Nature
In common: BrainSMASH, neuromaps, BrainSpace, 7 other tools, 5 references
[3] doi:10.1038/s41398-026-04025-2 [code]
Brain energetic landscapes shape state dysregulation in major depressive disorder: a morphological network controllability perspective.
Journal: Translational psychiatry
In common: BrainSMASH, neuromaps, BrainSpace, 7 other tools, 5 references
[4] doi:10.1186/s12916-026-04903-y [code]
Structural connectome architecture and biological vulnerability shape cortical atrophy in cocaine use disorder.
Journal: BMC medicine
In common: neuromaps, Nilearn, scikit-learn, 4 other tools, 9 references
[5] doi:10.1002/cns.71147 [code]
Unveiling the Distinctive Brain Functional Dynamics Between Parkinson's Disease and Progressive Supranuclear Palsy.
Journal: CNS neuroscience & therapeutics
In common: BrainSMASH, neuromaps, BrainSpace, 7 other tools, 4 references
[6] doi:10.1002/agm2.70073 [code]
Foreign Language Learning in Older Adults Modifies Resting-State Functional Connectivity Between the Subcortical Structures and the Cortex.
Journal: Aging medicine (Milton (N.S.W))
In common: BrainSMASH, neuromaps, BrainSpace, 7 other tools, 3 references
[7] doi:10.1038/s41531-026-01354-3 [code]
Neuromodulation-induced normalization of cortical metastable dynamics signatures in Parkinson's disease.
Journal: NPJ Parkinson's disease
In common: neuromaps, BrainSpace, Nilearn, 6 other tools, 5 references
[8] doi:10.1038/s41467-026-74153-2 [code]
Regional, functional and transcriptomic decoding of multidimensional brain structure alterations in obsessive-compulsive disorder.
Journal: Nature communications
In common: BrainSMASH, neuromaps, BrainSpace, 6 other tools, 3 references
[9] doi:10.1073/pnas.2531706123 [code]
Metabolism-weighted brain connectome reveals synaptic integration and vulnerability to neurodegeneration.
Journal: Proceedings of the National Academy of Sciences of the United States of America
In common: BrainSMASH, Nilearn, NiBabel, 5 other tools, 5 references
[10] doi:10.1038/s42003-025-09444-3 [code]
Decoupling of neurophysiological activity from structure mirrors global microarchitectural and neuromodulatory trends.
Journal: Communications biology
In common: neuromaps, Nilearn, NiBabel, 5 other tools, 6 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.