OSCR

Vulnerability of anterior medial temporal lobe subregions to early tau-related neurodegeneration in Alzheimer's disease: Converging evidence from tau-PET and plasma p-tau217.

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 · 172 lines · 5 KB · GPL-3.0

  1. # -*- coding: utf-8 -*-
  2. #
  3. # cmrep documentation build configuration file, created by
  4. # sphinx-quickstart on Thu Nov 21 09:26:55 2019.
  5. #
  6. # This file is execfile()d with the current directory set to its
  7. # containing dir.
  8. #
  9. # Note that not all possible configuration values are present in this
  10. # autogenerated file.
  11. #
  12. # All configuration values have a default; values that are commented out
  13. # serve to show the default.
  14. # If extensions (or modules to document with autodoc) are in another directory,
  15. # add these directories to sys.path here. If the directory is relative to the
  16. # documentation root, use os.path.abspath to make it absolute, like shown here.
  17. #
  18. # import os
  19. # import sys
  20. # sys.path.insert(0, os.path.abspath('.'))
  21. # -- General configuration ------------------------------------------------
  22. # If your documentation needs a minimal Sphinx version, state it here.
  23. #
  24. # needs_sphinx = '1.0'
  25. # Add any Sphinx extension module names here, as strings. They can be
  26. # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
  27. # ones.
  28. extensions = ['sphinx.ext.mathjax',
  29. 'sphinx.ext.githubpages']
  30. # Add any paths that contain templates here, relative to this directory.
  31. templates_path = ['_templates']
  32. # The suffix(es) of source filenames.
  33. # You can specify multiple suffix as a list of string:
  34. #
  35. # source_suffix = ['.rst', '.md']
  36. source_suffix = '.rst'
  37. # The master toctree document.
  38. master_doc = 'index'
  39. # General information about the project.
  40. project = u'cmrep'
  41. copyright = u'2019, Paul A. Yushkevich'
  42. author = u'Paul A. Yushkevich'
  43. # The version info for the project you're documenting, acts as replacement for
  44. # |version| and |release|, also used in various other places throughout the
  45. # built documents.
  46. #
  47. # The short X.Y version.
  48. version = u'1.0'
  49. # The full version, including alpha/beta/rc tags.
  50. release = u'1.0.0'
  51. # The language for content autogenerated by Sphinx. Refer to documentation
  52. # for a list of supported languages.
  53. #
  54. # This is also used if you do content translation via gettext catalogs.
  55. # Usually you set "language" from the command line for these cases.
  56. language = None
  57. # List of patterns, relative to source directory, that match files and
  58. # directories to ignore when looking for source files.
  59. # This patterns also effect to html_static_path and html_extra_path
  60. exclude_patterns = []
  61. # The name of the Pygments (syntax highlighting) style to use.
  62. pygments_style = 'sphinx'
  63. # If true, `todo` and `todoList` produce output, else they produce nothing.
  64. todo_include_todos = False
  65. # -- Options for HTML output ----------------------------------------------
  66. # The theme to use for HTML and HTML Help pages. See the documentation for
  67. # a list of builtin themes.
  68. #
  69. html_theme = 'sphinx_rtd_theme'
  70. # Theme options are theme-specific and customize the look and feel of a theme
  71. # further. For a list of options available for each theme, see the
  72. # documentation.
  73. #
  74. # html_theme_options = {}
  75. # Add any paths that contain custom static files (such as style sheets) here,
  76. # relative to this directory. They are copied after the builtin static files,
  77. # so a file named "default.css" will overwrite the builtin "default.css".
  78. html_static_path = ['_static']
  79. # Custom sidebar templates, must be a dictionary that maps document names
  80. # to template names.
  81. #
  82. # This is required for the alabaster theme
  83. # refs: http://alabaster.readthedocs.io/en/latest/installation.html#sidebars
  84. html_sidebars = {
  85. '**': [
  86. 'about.html',
  87. 'navigation.html',
  88. 'relations.html', # needs 'show_related': True theme option to display
  89. 'searchbox.html',
  90. 'donate.html',
  91. ]
  92. }
  93. # -- Options for HTMLHelp output ------------------------------------------
  94. # Output file base name for HTML help builder.
  95. htmlhelp_basename = 'cmrepdoc'
  96. # -- Options for LaTeX output ---------------------------------------------
  97. latex_elements = {
  98. # The paper size ('letterpaper' or 'a4paper').
  99. #
  100. # 'papersize': 'letterpaper',
  101. # The font size ('10pt', '11pt' or '12pt').
  102. #
  103. # 'pointsize': '10pt',
  104. # Additional stuff for the LaTeX preamble.
  105. #
  106. # 'preamble': '',
  107. # Latex figure (float) alignment
  108. #
  109. # 'figure_align': 'htbp',
  110. }
  111. # Grouping the document tree into LaTeX files. List of tuples
  112. # (source start file, target name, title,
  113. # author, documentclass [howto, manual, or own class]).
  114. latex_documents = [
  115. (master_doc, 'cmrep.tex', u'cmrep Documentation',
  116. u'Paul A. Yushkevich', 'manual'),
  117. ]
  118. # -- Options for manual page output ---------------------------------------
  119. # One entry per manual page. List of tuples
  120. # (source start file, name, description, authors, manual section).
  121. man_pages = [
  122. (master_doc, 'cmrep', u'cmrep Documentation',
  123. [author], 1)
  124. ]
  125. # -- Options for Texinfo output -------------------------------------------
  126. # Grouping the document tree into Texinfo files. List of tuples
  127. # (source start file, target name, title, author,
  128. # dir menu entry, description, category)
  129. texinfo_documents = [
  130. (master_doc, 'cmrep', u'cmrep Documentation',
  131. author, 'cmrep', 'One line description of project.',
  132. 'Miscellaneous'),
  133. ]

conf.py at commit c0760b4, under GPL-3.0 · at the source

Overview

Authors: Nidhi S Mundada1, Niyousha Sadeghpour2, Emily McGrew3, Hannah L Tucker4, Ilya M Nasrallah2, Sandhitsu R Das3, David A Wolk3, Paul A Yushkevich2, Christopher A Brown3, Laura E M Wisse4
ORCID iDs: Nidhi S Mundada
  1. Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
  2. Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
  3. Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
  4. Department of Clinical Sciences Lund, Lund University, Lund, Sweden
Institutions: University of Pennsylvania (United States); Lund University (Sweden)
Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association, volume 22, issue 6, article e71571
Dates: received 28 January 2026; accepted 4 May 2026; published online 17 June 2026; in print June 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1002/alz.71571 · PMID 42309984 · PMCID PMC13275324 · OpenAlex W7165013860
Open access: hybrid, a free copy (OpenAlex)
Status: code verified
Categories: structural MRI / diffusion (modality), other (modality), PET / SPECT (modality), human (organism), other condition (population), Alzheimer's / dementia (population), cellular / molecular (subfield)
Methods: Connectivity, Statistics, fMRI & imaging, Preprocessing
Keywords: Brodmann area 35, medial temporal lobe, neurodegeneration, plasma phosphorylated tau 217 (p‐tau217), preclinical Alzheimer's disease, structural magnetic resonance imaging, tau pathology, tau positron emission tomography (PET)
MeSH: Alzheimer Disease*, tau Proteins*, Temporal Lobe*, Aged, Aged, 80 and over, Amyloid beta-Peptides, Female, Humans, Magnetic Resonance Imaging, Male, Phosphorylation, Positron-Emission Tomography (* major topic)
Topic: Alzheimer's disease research and treatments (Physiology, Medicine), according to OpenAlex
Funding: Alzheimerfonden (AF‐1010833, AF-1010833); NIA NIH HHS (R01 AG069474, R01-AG070952, R01 AG056014, P30 AG072979); National Institute on Aging (R01‐AG070952); National Science Foundation (R01‐AG072796, R01-AG072796); Greta and Johan Kockska Foundation; Multipark; Crafoordska Stiftelsen (20210690); Foundation for the National Institutes of Health (R01-AG056014, R01‐AG056014); Alzheimer’s Association (AACSF-23-1152241); Vetenskapsrådet (2022‐00900); Swedish Research Council (2022-00900); Alzheimer's Association (AACSF‐23‐1152241)
Citations: not cited yet (Europe PMC); 50 references in the paper

Abstract

INTRODUCTION: The anterior medial temporal lobe (MTL), including the entorhinal cortex (ERC) and Brodmann area 35 (BA35), is among the earliest cortical sites of tau pathology in Alzheimer's disease (AD), yet conventional image segmentation methods poorly capture these regions.

METHODS: We applied an automated segmentation approach using an extended Automatic Segmentation of Hippocampal Subfields (ASHS) atlas, including anterior MTL subregions, in 448 Pennsylvania Alzheimer's Disease Research Center participants with magnetic resonance imaging, tau positron emission tomography (PET) (n = 199), and/or plasma phosphorylated tau 217 (p‐tau217) (n = 377). Amyloid beta (Aβ) positivity was defined using PET or plasma.

RESULTS: Tau‐PET showed an anterior–posterior gradient, with highest uptake in BA35, ERC, and anterior hippocampus. Increased MTL tau‐PET uptake and plasma p‐tau217 were associated with cortical thinning localized to BA35 and ERC, even in cognitively unimpaired Aβ‐positive individuals.

CONCLUSIONS: Anterior MTL subregions, especially BA35, show early vulnerability to tau‐related neurodegeneration. Extended anterior MTL parcellation improves localization of early tau‐associated structural changes and may facilitate biological staging in preclinical AD.

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

Repository

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

pyushkevich/cmrep

License: GPL-3.0
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: c0760b45a8fcb1358619e46fc5c09b1f6e34e7b8, 3 February 2026
Languages: C/C++ (75), MATLAB (17), C (5), C++ (2), Python (1), Jupyter (1), Shell (1)
Size: 314 files, 102 scripts
Software Heritage: archived
Found in: the text, “Statistical analysis”
Holds: README, license file, environment (Dockerfile), documentation, 1 notebook
Not found: CITATION.cff, tests, continuous integration
Tools: Image Processing Toolbox (4 files), NumPy (1 file), PyTorch (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
104 files

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;
  • 102 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.

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, 10 authors, 8 keywords, 12 MeSH terms, 12 funders, 50 references.

Cite

This paper

Mundada, N. S., Sadeghpour, N., McGrew, E., Tucker, H. L., Nasrallah, I. M., Das, S. R., Wolk, D. A., Yushkevich, P. A., Brown, C. A., & Wisse, L. E. M. (2026). Vulnerability of anterior medial temporal lobe subregions to early tau-related neurodegeneration in Alzheimer's disease: Converging evidence from tau-PET and plasma p-tau217. Alzheimer's & dementia : the journal of the Alzheimer's Association, 22(6), e71571. https://doi.org/10.1002/alz.71571

BibTeX

@article{mundada2026vulnerability,
author = {Mundada, Nidhi S and Sadeghpour, Niyousha and McGrew, Emily and Tucker, Hannah L and Nasrallah, Ilya M and Das, Sandhitsu R and Wolk, David A and Yushkevich, Paul A and Brown, Christopher A and Wisse, Laura E M},
title = {{Vulnerability of anterior medial temporal lobe subregions to early tau-related neurodegeneration in Alzheimer's disease: Converging evidence from tau-PET and plasma p-tau217}},
journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
year = {2026},
month = jun,
volume = {22},
number = {6},
pages = {e71571},
publisher = {Wiley},
issn = {1552-5260},
doi = {10.1002/alz.71571},
url = {https://doi.org/10.1002/alz.71571},
pmid = {42309984},
pmcid = {PMC13275324}
}

RIS

TY - JOUR
AU - Mundada, Nidhi S
AU - Sadeghpour, Niyousha
AU - McGrew, Emily
AU - Tucker, Hannah L
AU - Nasrallah, Ilya M
AU - Das, Sandhitsu R
AU - Wolk, David A
AU - Yushkevich, Paul A
AU - Brown, Christopher A
AU - Wisse, Laura E M
TI - Vulnerability of anterior medial temporal lobe subregions to early tau-related neurodegeneration in Alzheimer's disease: Converging evidence from tau-PET and plasma p-tau217
T2 - Alzheimer's & dementia : the journal of the Alzheimer's Association
J2 - Alzheimers Dement
PY - 2026
DA - 2026/06/01
VL - 22
IS - 6
SP - e71571
SN - 1552-5260
PB - Wiley
DO - 10.1002/alz.71571
UR - https://doi.org/10.1002/alz.71571
LA - en
ER -

CSL-JSON

{
"id": "10.1002/alz.71571",
"type": "article-journal",
"title": "Vulnerability of anterior medial temporal lobe subregions to early tau-related neurodegeneration in Alzheimer's disease: Converging evidence from tau-PET and plasma p-tau217",
"container-title": "Alzheimer's & dementia : the journal of the Alzheimer's Association",
"author": [
{
"family": "Mundada",
"given": "Nidhi S"
},
{
"family": "Sadeghpour",
"given": "Niyousha"
},
{
"family": "McGrew",
"given": "Emily"
},
{
"family": "Tucker",
"given": "Hannah L"
},
{
"family": "Nasrallah",
"given": "Ilya M"
},
{
"family": "Das",
"given": "Sandhitsu R"
},
{
"family": "Wolk",
"given": "David A"
},
{
"family": "Yushkevich",
"given": "Paul A"
},
{
"family": "Brown",
"given": "Christopher A"
},
{
"family": "Wisse",
"given": "Laura E M"
}
],
"container-title-short": "Alzheimers Dement",
"volume": "22",
"issue": "6",
"page": "e71571",
"DOI": "10.1002/alz.71571",
"PMID": "42309984",
"PMCID": "PMC13275324",
"ISSN": "1552-5260",
"publisher": "Wiley",
"URL": "https://doi.org/10.1002/alz.71571",
"language": "en",
"issued": {
"date-parts": [
[
2026,
6,
1
]
]
}
}

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:10.1002/alz.71649 [code]
Postmortem brain MRI reveals differential associations of subcortical and limbic volumes with cortical thinning and neurodegenerative pathologies.
Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association
In common: PyTorch, NumPy, Alzheimer's / dementia, structural MRI / diffusion, other condition, 1 other category, 6 references
[2] doi:10.1002/hbm.70508 [code]
Cyclic 2.5D Perceptual Loss for Cross-Modal 3D Medical Image Synthesis: T1w MRI to Tau PET.
Journal: Human brain mapping
In common: PyTorch, NumPy, PET / SPECT, Alzheimer's / dementia, structural MRI / diffusion, 6 references
[3] doi:10.1093/braincomms/fcag074 [code]
Plasma p-tau217 and glucose metabolism correlate in neocortical association areas in Alzheimer's disease.
Journal: Brain communications
In common: PET / SPECT, other, Alzheimer's / dementia, 1 other category, 5 references
[4] doi:10.1002/alz.71267 [code]
Hippocampal subfield thickness and shape analysis in examining the impact of TDP-43 in primary age-related tauopathy.
Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association
In common: NumPy, Alzheimer's / dementia, structural MRI / diffusion, cellular / molecular, 5 references
[5] doi:10.1186/s13195-026-02119-z
Age-dependent diagnostic and correlational architecture of multiplex plasma biomarkers in Alzheimer's disease: a cross-ethnic, cross-platform validation study.
Journal: Alzheimer's research & therapy
In common: PET / SPECT, other, Alzheimer's / dementia, 5 references
[6] doi:10.64898/2026.05.06.26352540 [code]
Generating synthetic tau-PET scans in Alzheimer’s disease from MRI, blood biomarkers and demographics with deep learning
Journal: medRxiv (preprint)
In common: NumPy, PET / SPECT, other, Alzheimer's / dementia, 1 other category, 4 references
[7] doi:10.1126/sciadv.aee2305 [code]
Prediction of mild cognitive impairment progression using time-sensitive multimodal biomarkers.
Journal: Science advances
In common: NumPy, PET / SPECT, Alzheimer's / dementia, structural MRI / diffusion, 4 references
[8] doi:10.1093/brain/awaf375 [code]
Reference proteins to improve Core 1 and Core 2 Alzheimer's disease CSF and plasma biomarkers.
Journal: Brain : a journal of neurology
In common: NumPy, PET / SPECT, other, Alzheimer's / dementia, 4 references
[9] doi:10.1002/ana.78300
Distribution of Big Tau Isoforms in the Human Central and Peripheral Nervous System.
Journal: Annals of neurology
In common: other, Alzheimer's / dementia, other condition, 4 references
[10] doi:10.1002/alz.71711 [code]
Exploring longitudinal relationships among Alzheimer's disease biomarkers.
Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association
In common: PET / SPECT, other, Alzheimer's / dementia, 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.