OSCR

Excitation-inhibition imbalance links amyloid pathophysiology to cognition in non-demented individuals.

Code ↔ Paper

2 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 2 matches · 1 of them tie a paragraph to a whole file without given lines: a weak match, whose lines are not tinted
  1. [1] § METHODS › Alzheimer's Disease Neuroimaging Initiative dataset ↔ stable_projects/disorder_subtypes/Zhang2016_ADFactors/step3_analyses_internalUse/functions/CBIG_get_mmse.m, the whole file · a weak match · score 0.58 · MMSE score, ADNI GO, Dementia · Report a mismatch
  2. [2] § METHODS › Parametric feedback inhibition control model ↔ stable_projects/fMRI_dynamics/Kong2021_pMFM/part2_pMFM_control_analysis/Primary_gradients/scripts/CBIG_pMFM_basic_functions.py, lines 17 to 112 · score 0.55 · noise amplitude, structural connectome, gradient, neural, strengths, activity · Report a mismatch

Paper

Loaded from Europe PMC by your browser; OSCR does not store it: doi.org · Europe PMC

The paper is loaded when this pane is shown.

The authors' code

MATLAB · 138 lines · 5.3 KB · MIT · 1 match

  1. function mmse = CBIG_get_mmse(rid_of_interest, predementedOnly)
  3. % mmse = CBIG_get_mmse(rid_of_interest, predementedOnly)
  4. % Fetch MMSE scores from .csv files
  5. %
  6. % Input:
  7. % - rid: the RID's of subjects of interest
  8. %
  9. % Output:
  10. % - mmse: 1st col is RID, 2nd is VISCODE, 3rd is EXAMDATE, 4th is score
  12. %
  13. % Written by CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
  15. % Read MMSE.csv
  16. file_id = fopen('//share/users/imganalysis/yeolab/data/ADNI_mert/scripts/MMSE.csv', 'r');
  17. data = textscan(file_id, ...
  18. '%*q %*q %q %*q %*q %q %*q %*q %q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %*q %q %*[^\n]',...
  19. 'delimiter', {',', '\n'}, 'HeaderLines', 1); % read in RID, PTGENDER, and PTDOBYY
  20. fclose(file_id);
  21. data = [data{1, 1} data{1, 2} data{1, 3} data{1, 4}];
  22. % Certain RID only
  23. rid_col = cellfun(@str2num, data(:, 1));
  24. keep_ind = ismember(rid_col, rid_of_interest);
  25. data_rid = data(keep_ind, :);
  26. % Remove those without a score
  27. keep_ind = ones(size(data_rid, 1), 1);
  28. for idx = 1:numel(keep_ind)
  29. if strcmp(data_rid{idx, 4}, '') % empty score
  30. keep_ind(idx) = 0;
  31. end
  32. end
  33. data_rid = data_rid(logical(keep_ind), :);
  35. %-------------- Some subjects' VISCODE are missing
  36. %%% Sol 1 - reference back to REGISTRY.csv
  37. disp('Missing ADNI GO/2 dates -> reference back to REGISTRY.csv');
  38. file_id = fopen('//share/users/imganalysis/yeolab/data/ADNI_mert/scripts/REGISTRY.csv', 'r');
  39. data = textscan(file_id, ...
  40. '%*q %*q %q %*q %*q %q %*q %*q %*q %*q %*q %q %*[^\n]', ...
  41. 'delimiter', {',', '\n'}, 'HeaderLines', 1);
  42. fclose(file_id);
  43. data = [data{1, 1} data{1, 2} data{1, 3}];
  44. for idx = 1:size(data_rid, 1)
  45. if strcmp(data_rid{idx, 3}, '') % empty EXAMDATE
  46. rid = data_rid{idx, 1};
  47. viscode = data_rid{idx, 2};
  48. missing_idx = logical(ismember(data(:, 1), rid)&ismember(data(:, 2), viscode));
  49. % Fill it up!
  50. data_rid{idx, 3} = data{missing_idx, 3};
  51. end
  52. end
  53. % Also unavailable in REGISTRY.csv? Discard!
  54. keep_ind = ones(size(data_rid, 1), 1);
  55. for idx = 1:numel(keep_ind)
  56. if strcmp(data_rid{idx, 3}, '') % empty examdate
  57. keep_ind(idx) = 0;
  58. end
  59. end
  60. data_rid = data_rid(logical(keep_ind), :);
  61. % %%% Sol 2 - add an approximate date estimated from VISCODE
  62. % disp('Missing ADNI GO/2 dates -> estimate from VISCODE');
  63. % for idx = 1:size(data_rid, 1)
  64. % if strcmp(data_rid{idx, 3}, '') % empty EXAMDATE
  65. % rid = data_rid{idx, 1};
  66. % sc_idx = logical(ismember(data_rid(:, 1), rid)&ismember(data_rid(:, 2), 'sc'));
  67. % sc_date_str = data_rid{sc_idx, 3};
  68. % sc_date = datenum(sc_date_str, 'yyyy-mm-dd');
  69. % viscode = data_rid{idx, 2};
  70. % months = strsplit(viscode, 'm');
  71. % days = str2double(months{1, 2})*30;
  72. % examdate = sc_date+days;
  73. % examdate_str = datestr(examdate, 'yyyy-mm-dd');
  74. % data_rid{idx, 3} = examdate_str;
  75. % end
  76. % end
  77. % %%% Sol 3 - just remove them
  78. % disp('Missing ADNI GO/2 dates -> just discard');
  79. % keep_ind = ones(size(data_rid, 1), 1);
  80. % for idx = 1:numel(keep_ind)
  81. % if strcmp(data_rid{idx, 3}, '') % empty EXAMDATE
  82. % keep_ind(idx) = 0;
  83. % end
  84. % end
  85. % data_rid = data_rid(logical(keep_ind), :);
  87. % Sort by RID
  88. data_rid_sort = data_rid;
  89. rid_col = cellfun(@str2num, data_rid(:, 1));
  90. viscode_col = data_rid(:, 2);
  91. examdate_col = data_rid(:, 3);
  92. score_col = cellfun(@str2num, data_rid(:, 4));
  93. [rid_col_sort, sort_ind] = sort(rid_col);
  94. score_col_sort = score_col(sort_ind);
  95. data_rid_sort(:, 1) = num2cell(rid_col_sort);
  96. data_rid_sort(:, 2) = viscode_col(sort_ind);
  97. data_rid_sort(:, 3) = examdate_col(sort_ind);
  98. data_rid_sort(:, 4) = num2cell(score_col_sort);
  100. % Remove -1 scores
  101. data_rid_sort = data_rid_sort(score_col_sort>=0, :);
  103. mmse = data_rid_sort;
  105. % Only want pre-dementia scores
  106. if predementedOnly == 1
  107. disp('Use only the pre-dementia data');
  108. predementia_ind = ones(size(mmse, 1), 1);
  109. rid_date_age = get_convDate_convAge(rid_of_interest);
  110. % Loop thru all convert dates
  111. for idx = 1:size(rid_date_age, 1)
  112. rid = rid_date_age{idx, 1};
  113. convDate = rid_date_age{idx, 2};
  114. % RID matched & date > convDate, already demented, so predementia_ind set to 0
  115. predementia_ind(ismember(cell2mat(mmse(:, 1)), rid)&(datenum(mmse(:, 3), 'yyyy-mm-dd')>=datenum(convDate))) = 0;
  116. end
  117. mmse = mmse(logical(predementia_ind), :);
  118. % Only want post-dementia scores
  119. % Truncate at conversion
  120. elseif predementedOnly == -1
  121. disp('Use only the post-dementia data');
  122. postdementia_ind = ones(size(mmse, 1), 1);
  123. rid_date_age = get_convDate_convAge(rid_of_interest);
  124. % RID not even matched, never convereted, so postdementia_ind set to 0
  125. postdementia_ind(~ismember(cell2mat(mmse(:, 1)), cell2mat(rid_date_age(:, 1)))) = 0;
  126. % Loop thru all convert dates
  127. for idx = 1:size(rid_date_age, 1)
  128. rid = rid_date_age{idx, 1};
  129. convDate = rid_date_age{idx, 2};
  130. % RID matched & date < convDate, not demented yet, so postdementia_ind set to 0
  131. postdementia_ind(ismember(cell2mat(mmse(:, 1)), rid)&(datenum(mmse(:, 3), 'yyyy-mm-dd')<datenum(convDate))) = 0;
  132. end
  133. mmse = mmse(logical(postdementia_ind), :);
  134. else
  135. disp('Use all the data we have');
  136. end
  138. end

CBIG_get_mmse.m at commit 634f676, under MIT · at the source

Overview

Authors: Shaoshi Zhang1,2,3,4,5, Sebastian N Roemer‐Cassiano6,7, Joyce Ruifen Chong8,9,10, Tian Fang1,2,3, Yan Li10, Ziwen Wang1,2,3, Tianchu Zeng1,2,3,4, Xin Li1,2,3,11, Gustavo Deco12,13, Narayanaswamy Venketasubramanian14, Juan Helen Zhou1,2,3,4,5, Christopher Li‐Hsian Chen10, Alzheimer's Disease Neuroimaging Initiative, Mitchell K P Lai9, Nicolai Franzmeier6,15,16, B T Thomas Yeo1,2,3,4,5,17
ORCID iDs: Shaoshi Zhang, Sebastian N Roemer‐Cassiano, Tian Fang, Yan Li, Ziwen Wang, Tianchu Zeng, Gustavo Deco, Narayanaswamy Venketasubramanian, Juan Helen Zhou, Christopher Li‐Hsian Chen, Mitchell K P Lai, Nicolai Franzmeier, B T Thomas Yeo
17 affiliations
  1. Centre for Sleep & Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
  2. Department of Medicine, Healthy Longevity Translational Research Programme, Human Potential Translational Research Programme & Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
  3. N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, Singapore
  4. Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
  5. Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore
  6. Institute for Stroke and Dementia Research, LMU Munich, Munich, Germany
  7. Department of Neurology, LMU Hospital, LMU Munich, Munich, Germany
  8. Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, Wisconsin, USA
  9. Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
  10. Memory, Ageing and Cognition Centre, Departments of Pharmacology and Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
  11. Aging Research Center, Karolinska Institute and Stockholm University, Stockholm, Sweden
  12. Center for Brain and Cognition, Department of Technology and Information, Universitat Pompeu Fabra, Barcelona, Spain
  13. Institució Catalana de la Recerca i Estudis Avançats, Universitat Barcelona, Barcelona, Spain
  14. Raffles Neuroscience Centre, Raffles Hospital, Singapore, Singapore
  15. Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
  16. Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, The Sahlgrenska Academy, Gothenburg, Sweden
  17. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
Institutions: National University of Singapore (Singapore); LMU Klinikum (Germany); Ludwig-Maximilians-Universität München (Germany); University of Wisconsin–Madison (United States); Stockholm University (Sweden); Karolinska Institutet (Sweden); Institució Catalana de Recerca i Estudis Avançats (Spain); Universitat Pompeu Fabra (Spain); Munich Cluster for Systems Neurology (Germany); University of Gothenburg (Sweden)
Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association, volume 22, issue 10, article e71891
Dates: received 28 May 2026; accepted 7 September 2026; published online 30 September 2026; in print October 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1002/alz.71891 · PMID 42811946 · PMCID PMC13624711 · OpenAlex W7214979065
Open access: hybrid, a free copy (OpenAlex)
Status: code verified (how the code is found and verified)
Categories: human (organism), Alzheimer's / dementia (population), cognitive (subfield)
Methods: Statistics, fMRI & imaging, Connectivity
Keywords: Alzheimer's disease, amyloid beta, amyloid pathophysiology, biomarkers, biophysical modeling, cognition, plasma phosphorylated tau
MeSH: Amyloid beta-Peptides*, Brain*, Cognition*, Aged, Alzheimer Disease, Biomarkers, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Peptide Fragments, Phosphorylation, tau Proteins (* major topic)
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: NMRC OF-IRG (OFIRG24jan-0006, OFIRG24jul-0049); NMRC CTG-IIT (CTGIIT23jan-0001); United States National Institutes of Health (R01MH133334, 2R01MH120080); Singapore National Medical Research Council (NMRC) LCG (OFLCG19May-0035); NMRC STaR (STaR20nov-0003); Singapore National Research Foundation (NRF) Investigatorship (NRFI10-2024-0014); Singapore Ministry of Health (MOH) Centre Grant (CG21APR1009); NUS Yong Loo Lin School of Medicine (NUHSRO/2020/124/TMR/LOA)
Citations: not cited yet (Europe PMC); 96 references in the paper

Abstract

INTRODUCTION: Excitation–inhibition (E/I) imbalance has been proposed as an early circuit‐level mechanism in Alzheimer's disease (AD), but its relationship to molecular pathology and cognition in humans remains unclear.

METHODS: We integrated biophysical modeling of resting‐state functional magnetic resonance imaging with cerebrospinal fluid (CSF) and plasma biomarkers to examine whether E/I ratio links amyloid pathophysiology to memory in non‐demented individuals across two cohorts from North America (N = 302; CSF amyloid beta 42 [Aβ42]) and Singapore (N = 240; plasma phosphorylated tau 217 [p‐tau217]).

RESULTS: Elevated E/I ratio was associated with lower CSF Aβ42 and higher plasma p‐tau217, with greater sensitivity in sensory–motor regions. In contrast, elevated E/I ratio in association cortices was more strongly related to worse memory function. Mediation analyses indicated E/I ratio partially accounted for the AD biomarker–memory relationship.

DISCUSSION: E/I imbalance represents an intermediate, systems‐level circuit mechanism that links AD pathophysiology to cognitive impairment, offering novel insight into early neurophysiological changes along the AD continuum.

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

Repositories

Its files are read in the Code ↔ Paper reader above, with 2 matches between paragraphs and lines of code.

macc-sg.notion.site/data-catalogue-122e6ba0007d80688d11fa10b6fcbd01

License: none: the authors keep all their rights
State: the link answers, verified on 2 November 2026
Evidence: the link answers
Software Heritage: not checked
Found in: “Data and code availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 2 checks, the latest on 2 November 2026: the link answers (HTTP 200)
  • 2 November 2026: the link answers (HTTP 200)
  • 3 October 2026: the link answers (HTTP 200)
At the source: macc-sg.notion.site/Data-Catalogue-122e6ba0007d80688d11fa10b6fcbd01

thomasyeolab/cbig

License: MIT
State: the link answers, verified on 27 October 2026
Evidence: files inventoried
Commit: 634f676630929a71297852d01dd92a287103e861, 1 October 2026
Languages: MATLAB (2110), Shell (652), Python (589), C (113), C++ (65), C/C++ (62), R (25), Jupyter (5)
Size: 9,316 files, 3,621 scripts
Software Heritage: not archived
Found in: “Data and code availability”
Holds: README, license file, environment (external_packages/python/mapalign-master/requirements.txt, external_packages/python/mapalign-master/setup.py, external_packages/python/yapf-master/setup.cfg, external_packages/python/yapf-master/setup.py), tests, documentation, 2 notebooks
Not found: CITATION.cff, continuous integration
Tools: NumPy (130 files), PyTorch (122 files), FreeSurfer (94 files), SciPy (61 files), FieldTrip (60 files), Statistics and Machine Learning Toolbox (50 files), FSL (44 files), SPM (40 files), GIfTI library for MATLAB (10 files), Image Processing Toolbox (8 files), Connectome Workbench (8 files), scikit-learn (5 files), AFNI (2 files), Matplotlib (2 files), Tools for NIfTI and ANALYZE image (MATLAB) (2 files), ANTs (1 file), NiBabel (1 file), Nilearn (1 file), tedana (1 file)
Availability: 2 checks, the latest on 27 October 2026: the link answers
  • 27 October 2026: the link answers
  • 27 September 2026: the link answers
2,000 files
At the source: github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/fMRI_dynamics/Zhang2026_EIAD

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;
  • 1,998 scripts, each with its path and the digest of its content;
  • 2 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 and code availability

The ADNI data are publicly available (https://ida.loni.usc.edu/). The MACC dataset can be obtained via a data transfer agreement (https://macc‐sg.notion.site/Data‐Catalogue‐122e6ba0007d80688d11fa10b6fcbd01). Code for this study can be found here: https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/fMRI_dynamics/Zhang2026_EIAD. Co‐authors (Z.W. and F.T.) reviewed the code before merging into the GitHub repository to reduce the chance of coding errors.

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, 3 October 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 16 authors, 7 keywords, 14 MeSH terms, 8 funders, 96 references.

Cite

This paper

Zhang, S., Roemer‐Cassiano, S. N., Chong, J. R., Fang, T., Li, Y., Wang, Z., Zeng, T., Li, X., Deco, G., Venketasubramanian, N., Zhou, J. H., Chen, C. L., Alzheimer's Disease Neuroimaging Initiative, Lai, M. K. P., Franzmeier, N., & Yeo, B. T. T. (2026). Excitation-inhibition imbalance links amyloid pathophysiology to cognition in non-demented individuals. Alzheimer's & dementia : the journal of the Alzheimer's Association, 22(10), e71891. https://doi.org/10.1002/alz.71891

BibTeX

@article{zhang2026excitation,
author = {Zhang, Shaoshi and Roemer‐Cassiano, Sebastian N and Chong, Joyce Ruifen and Fang, Tian and Li, Yan and Wang, Ziwen and Zeng, Tianchu and Li, Xin and Deco, Gustavo and Venketasubramanian, Narayanaswamy and Zhou, Juan Helen and Chen, Christopher Li‐Hsian and {Alzheimer's Disease Neuroimaging Initiative} and Lai, Mitchell K P and Franzmeier, Nicolai and Yeo, B T Thomas},
title = {{Excitation-inhibition imbalance links amyloid pathophysiology to cognition in non-demented individuals}},
journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
year = {2026},
month = oct,
volume = {22},
number = {10},
pages = {e71891},
publisher = {Wiley},
issn = {1552-5260},
doi = {10.1002/alz.71891},
url = {https://doi.org/10.1002/alz.71891},
pmid = {42811946},
pmcid = {PMC13624711}
}

RIS

TY - JOUR
AU - Zhang, Shaoshi
AU - Roemer‐Cassiano, Sebastian N
AU - Chong, Joyce Ruifen
AU - Fang, Tian
AU - Li, Yan
AU - Wang, Ziwen
AU - Zeng, Tianchu
AU - Li, Xin
AU - Deco, Gustavo
AU - Venketasubramanian, Narayanaswamy
AU - Zhou, Juan Helen
AU - Chen, Christopher Li‐Hsian
AU - Alzheimer's Disease Neuroimaging Initiative
AU - Lai, Mitchell K P
AU - Franzmeier, Nicolai
AU - Yeo, B T Thomas
TI - Excitation-inhibition imbalance links amyloid pathophysiology to cognition in non-demented individuals
T2 - Alzheimer's & dementia : the journal of the Alzheimer's Association
J2 - Alzheimers Dement
PY - 2026
DA - 2026/10/01
VL - 22
IS - 10
SP - e71891
SN - 1552-5260
PB - Wiley
DO - 10.1002/alz.71891
UR - https://doi.org/10.1002/alz.71891
LA - en
ER -

CSL-JSON

{
"id": "10.1002/alz.71891",
"type": "article-journal",
"title": "Excitation-inhibition imbalance links amyloid pathophysiology to cognition in non-demented individuals",
"container-title": "Alzheimer's & dementia : the journal of the Alzheimer's Association",
"author": [
{
"family": "Zhang",
"given": "Shaoshi"
},
{
"family": "Roemer‐Cassiano",
"given": "Sebastian N"
},
{
"family": "Chong",
"given": "Joyce Ruifen"
},
{
"family": "Fang",
"given": "Tian"
},
{
"family": "Li",
"given": "Yan"
},
{
"family": "Wang",
"given": "Ziwen"
},
{
"family": "Zeng",
"given": "Tianchu"
},
{
"family": "Li",
"given": "Xin"
},
{
"family": "Deco",
"given": "Gustavo"
},
{
"family": "Venketasubramanian",
"given": "Narayanaswamy"
},
{
"family": "Zhou",
"given": "Juan Helen"
},
{
"family": "Chen",
"given": "Christopher Li‐Hsian"
},
{
"literal": "Alzheimer's Disease Neuroimaging Initiative"
},
{
"family": "Lai",
"given": "Mitchell K P"
},
{
"family": "Franzmeier",
"given": "Nicolai"
},
{
"family": "Yeo",
"given": "B T Thomas"
}
],
"container-title-short": "Alzheimers Dement",
"volume": "22",
"issue": "10",
"page": "e71891",
"DOI": "10.1002/alz.71891",
"PMID": "42811946",
"PMCID": "PMC13624711",
"ISSN": "1552-5260",
"publisher": "Wiley",
"URL": "https://doi.org/10.1002/alz.71891",
"language": "en",
"issued": {
"date-parts": [
[
2026,
10,
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:10.1073/pnas.2318641121 [code]
In vivo whole-cortex marker of excitation-inhibition ratio indexes cortical maturation and cognitive ability in youth.
Journal: Proceedings of the National Academy of Sciences of the United States of America
In common: tedana, Connectome Workbench, AFNI, 16 other tools, 14 references, 4 authors
[2] doi:10.1002/hbm.70276 [code]
Mind the Gap: Does Brain Age Improve Alzheimer's Disease Prediction?
Journal: Human brain mapping
In common: tedana, Connectome Workbench, AFNI, 16 other tools, Alzheimer's / dementia, 5 references, 4 authors
[3] doi:10.1002/hbm.70280 [code]
Cross-Dataset Evaluation of Dementia Longitudinal Progression Prediction Models.
Journal: Human brain mapping
In common: tedana, Connectome Workbench, AFNI, 16 other tools, Alzheimer's / dementia, 9 references, 2 authors
[4] doi:10.1038/s41586-025-09250-1 [code]
Longer scans boost prediction and cut costs in brain-wide association studies.
Journal: Nature
In common: tedana, Connectome Workbench, AFNI, 16 other tools, 1 reference, 4 authors
[5] doi:10.1038/s41467-026-73668-y [code]
Convergent and divergent brain-cognition development in early adolescence.
Journal: Nature communications
In common: tedana, Connectome Workbench, AFNI, 16 other tools, 4 references, 2 authors
[6] doi:10.1016/j.neuroimage.2023.120115 [code]
Relationship between prediction accuracy and feature importance reliability: An empirical and theoretical study.
Journal: NeuroImage
In common: tedana, Connectome Workbench, AFNI, 16 other tools, 2 references, 2 authors
[7] doi:10.1002/epi.70323 [code]
Individual-specific resting-state networks predict language dominance in drug-resistant epilepsy.
Journal: Epilepsia
In common: tedana, Connectome Workbench, AFNI, 16 other tools, 1 reference, 2 authors
[8] doi:10.1038/s42003-024-05819-0 [code]
Macroscale intrinsic dynamics are associated with microcircuit function in focal and generalized epilepsies.
Journal: Communications biology
In common: tedana, Connectome Workbench, AFNI, 16 other tools, 5 references, author B T Thomas Yeo
[9] doi:10.1152/jn.00308.2023 [code]
Organization of the human cerebral cortex estimated within individuals: networks, global topography, and function.
Journal: Journal of neurophysiology
In common: tedana, Connectome Workbench, AFNI, 16 other tools, 3 references, author B T Thomas Yeo
[10] doi:10.1016/j.neuroimage.2023.120010 [code]
Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity.
Journal: NeuroImage
In common: tedana, Connectome Workbench, AFNI, 16 other tools, 3 references, author B T Thomas Yeo

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.

Add the badge to the code's README

OSCR: the badge of this paper

If you are an author or a maintainer of this paper's code, you can add this badge. It says what OSCR knows of the paper (its code, its validated tracing map) and links the code to this page. Paste one of these snippets under the README's title. Keep the two marks around it, so that the badge can be replaced in place and is never added twice. OSCR changes nothing in your repository.

Markdown
<!-- oscr-badge:start -->
[![OSCR](https://openscicode.org/badge/doi/10.1002/alz.71891.svg)](https://openscicode.org/badge/doi/10.1002/alz.71891)
<!-- oscr-badge:end -->
reStructuredText
.. oscr-badge:start

.. image:: https://openscicode.org/badge/doi/10.1002/alz.71891.svg
   :target: https://openscicode.org/badge/doi/10.1002/alz.71891
   :alt: OSCR

.. oscr-badge:end
HTML
<!-- oscr-badge:start -->
<a href="https://openscicode.org/badge/doi/10.1002/alz.71891"><img src="https://openscicode.org/badge/doi/10.1002/alz.71891.svg" alt="OSCR"></a>
<!-- oscr-badge:end -->

On GitHub, open the README, choose Edit (the pencil), paste the snippet under the title, then "Commit changes".

If you choose to, you can have the badge kept up to date for you, with oscr badge --write from the command line or with the GitHub Action in your repository's workflows. Every other form and option (a card, AsciiDoc, LaTeX, shields.io) is on the badge 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: code errors and mismatches between the code and the paper about this paper and its code, from readers and its authors, beside the paper and its tracing map.

Report a mismatch between the code and the paper · Report a code error (signed in)

Reproductions: reports from readers who ran the authors' code and did not get the paper's result, what they ran, with which environment, commit and data.

Report a reproduction failure (signed in)

Versions of its code: the releases of its code tied to a version of this paper (the preprint, the accepted manuscript, the version of record…), each with the tracing map versioned with it.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.