Postmortem brain MRI reveals differential associations of subcortical and limbic volumes with cortical thinning and neurodegenerative pathologies.
The 11 matches
- [1] § RESULTS › AD, FTLD‐TDP, and FTLD‐tau have lower subcortical and limbic volumes than LBD ↔ subcortical_analyses.ipynb, lines 111–128 · score 0.69 · Lewy body disease, likelihood ratio, ICV normalized postmortem, subcortical volumes, Pairwise, FTLD TDP
- [2] § RESULTS › Subcortical and limbic volume loss tracks with cortical thinning differently in each disease ↔ subcortical_cortical_analyses.ipynb, lines 169–176 · score 0.68 · partial Spearman correlations, normalized weighted, ICV normalized, cortical thickness, composite, coefficients
- [3] § RESULTS › AD, FTLD‐TDP, and FTLD‐tau have lower subcortical and limbic volumes than LBD ↔ subcortical_cortical_analyses.ipynb, lines 410–432 · score 0.66 · Boxplots compare, Lewy body disease, likelihood ratio, FTLD tau, Pairwise, FTLD TDP
- [4] § RESULTS › Polypathological models suggest primary pathology mostly drives subcortical and limbic volume loss ↔ subcortical_analyses.ipynb, lines 2632–2637 · score 0.65 · standardized coefficients, pathology predictors, OLS models, FDR correction, fitting, covariates
- [5] § METHODS › Semi‐quantitative neuropathology and histology measures ↔ notebooks/analysis_notebook_10_5_23.ipynb, lines 428–523 · score 0.60 · angular gyrus, cingulate, superior, temporal, field, frontal
- [6] § METHODS › Semi‐quantitative neuropathology and histology measures ↔ subcortical_analyses.ipynb, lines 23–54 · score 0.59 · Semi quantitative, antibodies, pons, brainstem, neurons, scores
- [7] § METHODS › Statistical analysis › Structural group differences and subcortical–cortical associations ↔ subcortical_cortical_analyses.ipynb, lines 328–407 · score 0.59 · DKT atlas, partial Spearman, cortical region, nucleus, thickness, correlations
- [8] § RESULTS › Primary AD is linked to worse subcortical and cortical atrophy than primary LBD in donors with both AD and LBD copathologies ↔ subcortical_analyses.ipynb, lines 1248–1288 · score 0.55 · normalized postmortem subcortical, Pathology burden, Primary pathology, linear, fit, age
- [9] § RESULTS › Histologic neuronal loss and gliosis mediate relationships between subcortical and limbic pathology and volume loss ↔ subcortical_analyses.ipynb, lines 545–562 · score 0.53 · regional pathology burden, FDR correction, postmortem subcortical, age, sex, education
- [10] § RESULTS › Polypathological models suggest primary pathology mostly drives subcortical and limbic volume loss ↔ subcortical_analyses.ipynb, lines 3070–3218 · score 0.52 · polypathology model, multiple pathologies, FTLD TDP, synuclein, tauopathy, regression
- [11] § RESULTS › Primary AD is linked to worse subcortical and cortical atrophy than primary LBD in donors with both AD and LBD copathologies ↔ notebooks/analysis_notebook_10_5_23.ipynb, lines 428–523 · score 0.51 · superior parietal, globus pallidus, cortex, thicknesses, caudate, cortical
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
Jupyter notebook · 6,168 lines · 261 KB · no license · 6 matches
subcortical_analyses.ipynb at commit 6abfd1d, no license · at the source
Overview
and 11 other authors
Laura E M Wisse4, John A Detre1, Ilya M Nasrallah1, Christopher A Brown1, Sandhitsu R Das1, Edward B Lee1, M Dylan Tisdall1, David J Irwin1, Corey T McMillan1, David A Wolk1, Paul A Yushkevich1- University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
- University of Florida, Jacksonville, Florida, USA
- Lund University, Lund, Sweden
Abstract
INTRODUCTION: The impact of different neuropathologies on deep brain structures remains to be understood. We examine subcortical and limbic volumetry in neurodegenerative diseases involving phosphorylated tau (p‐tau), α‐synuclein, and transactive response DNA binding protein 43 (TDP‐43).
METHODS: We acquired neuropathological measures and brain segmentations from postmortem analysis of 132 donors with Alzheimer's disease (AD), Lewy body disease (LBD), frontotemporal lobar degeneration with TDP‐43 (FTLD‐TDP), and FTLD‐tau.
RESULTS: LBD had the least subcortical, limbic, and cortical atrophy compared to AD, FTLD‐TDP, and FTLD‐tau. In donors with both AD and LBD pathologies, primary LBD was associated with less atrophy than primary AD. While AD had cortico‐subcortical and cortico‐limbic morphometric associations, LBD had more limited parieto‐occipital cortico‐limbic associations. FTLD‐TDP had cortico‐subcortical while FTLD‐tau had cortico‐subcortical and cortico‐limbic associations. In AD and FTLD‐tau, hippocampal volumes correlated with p‐tau burden, neuron loss, and gliosis. In LBD, thalamic α‐synuclein severity was associated with subcortical/
DISCUSSION: Postmortem neuroimaging reveals disease‐ and region‐specific structure–pathology relationships.
Reproduced under the paper's license (CC BY-NC), from the paper cited above.
Repositories
Its files are read in the Code ↔ Paper reader above, with 11 matches between paragraphs and lines of code.
Pulkit-Khandelwal/purple-mri
671f35b6d8eb41e3f75c4ff3b16cedc1986a9b24, 10 September 2026Availability: 1 check, the latest on 27 September 2026: the link answers
- 27 September 2026: the link answers
71 files, not copied: shown from their source
OSCR keeps no copy of these files: this repository has no license that allows it. The reader above shows each one from its source, fetched by your browser at commit 671f35b, when its fingerprint is the one OSCR verified. How this works.
- docker/
nighres_docker/ — Shell, 19 lines, shown from its sourceclean_labels_final.sh - docker/
nighres_docker/ — Python, 55 lines, shown from its sourcenighres_topology_corecti on.py - docker/
nighres_docker/ — Shell, 37 lines, shown from its sourceprepare_cruise_files.sh - docker/
segmentation_docker/ — Shell, 43 lines, shown from its sourcecommands_nnunet_inferenc e.sh - docker/
segmentation_docker/ — Python, 45 lines, shown from its sourcesitecustomize.py - docs/
source/ — Python, 36 lines, shown from its sourceconf.py - glm/
get_roi_statistics.sh — Shell, 21 lines, shown from its source - glm/
glm.sh — Shell, 32 lines, shown from its source - glm/
glm_dbm.sh — Shell, 76 lines, shown from its source - glm/
prepare_vtk_files_for_gl — Python, 171 lines, shown from its sourcem.py - glm/
warp_to_template_space.s — Shell, 78 lines, shown from its sourceh - misc_scripts/
c3d_commands.sh — Shell, 5 lines, shown from its source - misc_scripts/
differences_between_list — Shell, 40 lines, shown from its sources.sh - misc_scripts/
dots_to_template/ — Shell, 38 lines, shown from its sourcearchive_create_multi_com p_vtk_files.sh - misc_scripts/
dots_to_template/ — Shell, 22 lines, shown from its sourcedilation_split_dots.sh - misc_scripts/
dots_to_template/ — Shell, 87 lines, shown from its sourcedots_to_surface_template .sh - misc_scripts/
dots_to_template/ — Python, 158 lines, shown from its sourceprepare_vtk_file_for_mer ge.py - misc_scripts/
dots_to_template/ — Python, 42 lines, shown from its sourcesplit_labels.py - misc_scripts/
flip_conform.sh — Shell, 23 lines, shown from its source - misc_scripts/
flywheel_download.py — Python, 27 lines, shown from its source - misc_scripts/
get_flash_reslice_and_fl — Shell, 22 lines, shown from its sourceash_dots.sh - misc_scripts/
get_patches.py — Python, 55 lines, shown from its source - misc_scripts/
mris_place_surface.cpp — C++, 2,174 lines, shown from its source - misc_scripts/
my_functions.py — Python, 70 lines, shown from its source - misc_scripts/
nifti_to_dicom.py — Python, 99 lines, shown from its source - misc_scripts/
perform_bias_correction. — Shell, 44 lines, shown from its sourcesh - misc_scripts/
reorient_secondary.py — Python, 48 lines, shown from its source - nnU-Net-archs/
generic_AnatomyCENet.py — Python, 702 lines, shown from its source - nnU-Net-archs/
generic_AnatomyProjectNe — Python, 792 lines, shown from its sourcet.py - nnU-Net-archs/
generic_AnatomySECENet.p — Python, 702 lines, shown from its sourcey - nnU-Net-archs/
generic_AnatomySENet.py — Python, 702 lines, shown from its source - nnU-Net-archs/
generic_AttentionNet.py — Python, 522 lines, shown from its source - nnU-Net-archs/
generic_UNet.py — Python, 471 lines, shown from its source - nnU-Net-archs/
generic_UNet_DP.py — Python, 124 lines, shown from its source - nnU-Net-archs/
generic_UPKNet.py — Python, 640 lines, shown from its source - nnU-Net-archs/
generic_VNet.py — Python, 615 lines, shown from its source - nnU-Net-archs/
generic_VoxResNet.py — Python, 420 lines, shown from its source - notebooks/
analysis_notebook_10_5_2 — Jupyter, 615 lines, 2 matches, shown from its source3.ipynb - pkg_src/
purple_mri/ — Python, 1 line, shown from its source__init__.py - pkg_src/
purple_mri/ — Python, 13 lines, shown from its source__main__.py - pkg_src/
purple_mri/ — Shell, 25 lines, shown from its sourcescripts/ create_mesh.sh - pkg_src/
purple_mri/ — Python, 296 lines, shown from its sourcescripts/ decimate_mesh.py - pkg_src/
purple_mri/ — Shell, 32 lines, shown from its sourcescripts/ do_mni_txs.sh - pkg_src/
purple_mri/ — Shell, 43 lines, shown from its sourcescripts/ make_fs_directories.sh - pkg_src/
purple_mri/ — Shell, 236 lines, shown from its sourcescripts/ parcellation.sh - pkg_src/
purple_mri/ — Shell, 37 lines, shown from its sourcescripts/ prepare_segm_files.sh - pkg_src/
purple_mri/ — Shell, 43 lines, shown from its sourcescripts/ run_surface_pipeline.sh - pkg_src/
purple_mri/ — Shell, 39 lines, shown from its sourcescripts/ topology_correction.sh - postsynth/
generate.py — Python, 359 lines, shown from its source - postsynth/
helper.py — Python, 822 lines, shown from its source - purple_mri/
create_mesh.sh — Shell, 26 lines, shown from its source - purple_mri/
decimate_mesh.py — Python, 310 lines, shown from its source - purple_mri/
do_mni_txs.sh — Shell, 31 lines, shown from its source - purple_mri/
infant_scripts/ — Shell, 31 lines, shown from its sourcedo_mni_txs_mcribs.sh - purple_mri/
infant_scripts/ — Shell, 121 lines, shown from its sourceparcellation_mcribs.sh - purple_mri/
make_fs_directories.sh — Shell, 43 lines, shown from its source - purple_mri/
parcellation.sh — Shell, 289 lines, shown from its source - purple_mri/
prepare_segm_files.sh — Shell, 57 lines, shown from its source - purple_mri/
run_surface_pipeline.sh — Shell, 45 lines, shown from its source - purple_mri/
topology_correction.sh — Shell, 39 lines, shown from its source - scripts/
exvivo_invivo_greedy_reg — Shell, 135 lines, shown from its sourceistration.sh - scripts/
intensity_template/ — Shell, 588 lines, shown from its sourcegreedy_build_template.sh - scripts/
intensity_template/ — Shell, 121 lines, shown from its sourcepybatch.sh - scripts/
intensity_template/ — Shell, 59 lines, shown from its sourcewarp_and_mri_init_templa te.sh - scripts/
register_flash_t2w_ciss. — Shell, 46 lines, shown from its sourcesh - scripts/
registration_exvivo_invi — Shell, 217 lines, shown from its sourcevo_greedy_v2.sh - visualization/
download_for_screenshots — Shell, 33 lines, shown from its source_fs.sh - visualization/
ggseg_sample.py — Python, 26 lines, shown from its source - visualization/
screenshots_fs_viz.py — Python, 18 lines, shown from its source - visualization/
screenshots_fs_viz.sh — Shell, 19 lines, shown from its source - README.md — Text, 111 lines, shown from its source
Pulkit-Khandelwal/postmortem-subcortical-limbic-pathologies
6abfd1d98fa06009578e0e292a72996ba3e46a58, 5 May 2026Availability: 1 check, the latest on 27 September 2026: the link answers
- 27 September 2026: the link answers
3 files, not copied: shown from their source
OSCR keeps no copy of these files: this repository has no license that allows it. The reader above shows each one from its source, fetched by your browser at commit 6abfd1d, when its fingerprint is the one OSCR verified. How this works.
- subcortical_analyses.ipy
nb — Jupyter, 6,168 lines, 6 matches, shown from its source - subcortical_cortical_ana
lyses.ipynb — Jupyter, 1,182 lines, 3 matches, shown from its source - README.md — Text, 2 lines, shown from its source
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;
- 72 scripts, each with its path and the digest of its content;
- 11 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
Datasets cited
- purple-mri.readthedocs.i
o — at purple-mri.readthedocs.io; found in the text, “Image analysis”
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, 31 authors, 16 keywords, 18 MeSH terms, 2 funders, 71 references.
Cite
This paper
Khandelwal, P., Duong, M. T., Levorse, L. M., Trotman, W., Bahena, A., Lim, S. A., Denning, A. E., Chung, E., Olm, C. A., Radhakrishnan, H., Ittyerah, R., Prabhakaran, K., Mizsei, G., Schuck, T., Emrani, S., Vizcarra, J. A., Robinson, J., Ohm, D. T., Phillips, J. S., . . . Yushkevich, P. A. (2026). Postmortem brain MRI reveals differential associations of subcortical and limbic volumes with cortical thinning and neurodegenerative pathologies. Alzheimer's & dementia : the journal of the Alzheimer's Association, 22(7), e71649. https://
BibTeX
@article{khandelwal2026p
author = {Khandelwal, Pulkit and Duong, Michael Tran and Levorse, Lisa M and Trotman, Winifred and Bahena, Alejandra and Lim, Sydney A and Denning, Amanda E and Chung, Eunice and Olm, Christopher A and Radhakrishnan, Hamsanandini and Ittyerah, Ranjit and Prabhakaran, Karthik and Mizsei, Gabor and Schuck, Theresa and Emrani, Sheina and Vizcarra, Joaquin A and Robinson, John and Ohm, Daniel T and Phillips, Jeffrey S and Cohen, Jesse and Wisse, Laura E M and Detre, John A and Nasrallah, Ilya M and Brown, Christopher A and Das, Sandhitsu R and Lee, Edward B and Tisdall, M Dylan and Irwin, David J and McMillan, Corey T and Wolk, David A and Yushkevich, Paul A},
title = {{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},
year = {2026},
month = jul,
volume = {22},
number = {7},
pages = {e71649},
publisher = {Wiley},
issn = {1552-5260},
doi = {10.1002/
url = {https://
pmid = {42418450},
pmcid = {PMC13344898}
}
RIS
TY - JOUR
AU - Khandelwal, Pulkit
AU - Duong, Michael Tran
AU - Levorse, Lisa M
AU - Trotman, Winifred
AU - Bahena, Alejandra
AU - Lim, Sydney A
AU - Denning, Amanda E
AU - Chung, Eunice
AU - Olm, Christopher A
AU - Radhakrishnan, Hamsanandini
AU - Ittyerah, Ranjit
AU - Prabhakaran, Karthik
AU - Mizsei, Gabor
AU - Schuck, Theresa
AU - Emrani, Sheina
AU - Vizcarra, Joaquin A
AU - Robinson, John
AU - Ohm, Daniel T
AU - Phillips, Jeffrey S
AU - Cohen, Jesse
AU - Wisse, Laura E M
AU - Detre, John A
AU - Nasrallah, Ilya M
AU - Brown, Christopher A
AU - Das, Sandhitsu R
AU - Lee, Edward B
AU - Tisdall, M Dylan
AU - Irwin, David J
AU - McMillan, Corey T
AU - Wolk, David A
AU - Yushkevich, Paul A
TI - Postmortem brain MRI reveals differential associations of subcortical and limbic volumes with cortical thinning and neurodegenerative pathologies
T2 - Alzheimer's & dementia : the journal of the Alzheimer's Association
J2 - Alzheimers Dement
PY - 2026
DA - 2026/
VL - 22
IS - 7
SP - e71649
SN - 1552-5260
PB - Wiley
DO - 10.1002/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.1002/
"type": "article-journal",
"title": "Postmortem brain MRI reveals differential associations of subcortical and limbic volumes with cortical thinning and neurodegenerative pathologies",
"container-title": "Alzheimer's & dementia : the journal of the Alzheimer's Association",
"author": [
{
"family": "Khandelwal",
"given": "Pulkit"
},
{
"family": "Duong",
"given": "Michael Tran"
},
{
"family": "Levorse",
"given": "Lisa M"
},
{
"family": "Trotman",
"given": "Winifred"
},
{
"family": "Bahena",
"given": "Alejandra"
},
{
"family": "Lim",
"given": "Sydney A"
},
{
"family": "Denning",
"given": "Amanda E"
},
{
"family": "Chung",
"given": "Eunice"
},
{
"family": "Olm",
"given": "Christopher A"
},
{
"family": "Radhakrishnan",
"given": "Hamsanandini"
},
{
"family": "Ittyerah",
"given": "Ranjit"
},
{
"family": "Prabhakaran",
"given": "Karthik"
},
{
"family": "Mizsei",
"given": "Gabor"
},
{
"family": "Schuck",
"given": "Theresa"
},
{
"family": "Emrani",
"given": "Sheina"
},
{
"family": "Vizcarra",
"given": "Joaquin A"
},
{
"family": "Robinson",
"given": "John"
},
{
"family": "Ohm",
"given": "Daniel T"
},
{
"family": "Phillips",
"given": "Jeffrey S"
},
{
"family": "Cohen",
"given": "Jesse"
},
{
"family": "Wisse",
"given": "Laura E M"
},
{
"family": "Detre",
"given": "John A"
},
{
"family": "Nasrallah",
"given": "Ilya M"
},
{
"family": "Brown",
"given": "Christopher A"
},
{
"family": "Das",
"given": "Sandhitsu R"
},
{
"family": "Lee",
"given": "Edward B"
},
{
"family": "Tisdall",
"given": "M Dylan"
},
{
"family": "Irwin",
"given": "David J"
},
{
"family": "McMillan",
"given": "Corey T"
},
{
"family": "Wolk",
"given": "David A"
},
{
"family": "Yushkevich",
"given": "Paul A"
}
],
"container-title-short":
"volume": "22",
"issue": "7",
"page": "e71649",
"DOI": "10.1002/
"PMID": "42418450",
"PMCID": "PMC13344898",
"ISSN": "1552-5260",
"publisher": "Wiley",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
7,
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:10.21203/rs.3.rs-9326213/v1 [code]
- Multi-task fMRI outperforms resting-state fMRI for revealing task-invariant organization of the human brainJournal: Research Square (preprint)In common: statannotations, ANTs, FreeSurfer, 11 other tools, 1 reference
- [2] doi:10.1038/s41598-026-55397-w [code]
- Fast surface reconstruction of human brain MRI: benchmarking deep-learning based morphometry tools.Journal: Scientific reportsIn common: Nighres, SimpleITK, ANTs, 8 other tools, structural MRI / diffusion, 2 references
- [3] doi:10.1002/hipo.70124 [code]
- Association Between Anterior Hippocampal Gyrification and Episodic Memory Performance in Neurotypical Young Adults.Journal: HippocampusIn common: Nighres, nnU-Net, SimpleITK, 9 other tools, structural MRI / diffusion, 1 reference
- [4] doi:10.3389/frai.2026.1771088 [code]
- Few-shot deployment of pretrained MRI transformers in brain imaging tasks.Journal: Frontiers in artificial intelligenceIn common: nnU-Net, SimpleITK, OpenCV, 10 other tools, structural MRI / diffusion, 1 reference
- [5] doi:10.2463/mrms.mp.2024-0149 [code]
- Image Distortion Correction for Diffusion MR Imaging Using a Transformer-based U-Net.Journal: Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in MedicineIn common: nnU-Net, ANTs, FreeSurfer, 10 other tools, structural MRI / diffusion
- [6] doi:10.1371/journal.pcbi.1014555 [code]
- Body surface potential driven personalisation of electrophysiological digital twins in hypertrophic cardiomyopathy.Journal: PLoS computational biologyIn common: nnU-Net, SimpleITK, ANTs, 10 other tools, structural MRI / diffusion
- [7] doi:10.3389/fnins.2026.1870124 [code]
- An end-to-end pipeline for automated fetal brain segmentation and biometry from 3D SSFP MRI.Journal: Frontiers in neuroscienceIn common: nnU-Net, SimpleITK, FSL, 10 other tools, structural MRI / diffusion
- [8] doi:10.1016/j.crmeth.2026.101473 [code]
- AmygdalaGo-BOLT for boundary-aware segmentation of the human amygdala.Journal: Cell reports methodsIn common: SimpleITK, ANTs, FreeSurfer, 9 other tools, structural MRI / diffusion
- [9] doi:10.1038/s41597-026-07248-6 [code]
- A large-scale fMRI dataset for vision-language semantic association.Journal: Scientific dataIn common: ANTs, FreeSurfer, FSL, 10 other tools, 1 reference
- [10] doi:10.7554/elife.107933 [code]
- Modality-agnostic decoding of vision and language from fMRI.Journal: eLifeIn common: FreeSurfer, OpenCV, scikit-image, 10 other tools, 2 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.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Validate its tracing map
You validate the map as this page shows it: 2 repositories of the authors' code, each at its verified commit and with its license, 72 scripts, and 11 matches between paragraphs and code (see the Code and Map sections). It then receives a DOI on Zenodo, with you (your ORCID iD) and OSCR as its creators; the code itself is not deposited.
The map's fingerprint: sha256:e7ffe970228e9942…
Add the badge to its README
The badge links the code to this page. Copy one of these into the README of the paper's code: only you decide where it goes, and nothing is changed for you.
Markdown
[, paste the snippet at the top, then “Commit changes…” and, to review it first, “Create a new branch and start a pull request”. You open the pull request; OSCR asks for no permission.
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.
