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Alcohol impacts an fMRI marker of neural inhibition in humans and rodents.

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 · 2 of them tie a paragraph to a whole file without given lines: weak matches, whose lines are not tinted
  1. [1] § Methods › Rat data and analyses › Hurst exponent ↔ scripts/human/hurst_exponent.m, the whole file · a weak match · score 0.68 · bfn mfin ml, haar, lb, ub, filter, Hurst exponent · Report a mismatch
  2. [2] § Methods › Rat data and analyses › Hurst exponent ↔ scripts/rat/hurst_exponent.m, the whole file · a weak match · score 0.68 · bfn mfin ml, haar, lb, ub, filter, Hurst exponent · Report a mismatch
  3. [3] § Methods › Human data and analyses › Alcohol effect modeling ↔ scripts/rat/alcohol_effect.Rmd, lines 63 to 84 · score 0.53 · lme4, nlminb, optimization, optimx, lmer, ANOVA · Report a mismatch
  4. [4] § Methods › Human data and analyses › Alcohol effect modeling ↔ codes/human/Fig2,3.Rmd, lines 37 to 59 · score 0.53 · lme4, nlminb, optimization, optimx, lmer, ANOVA · Report a mismatch

Paper

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

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The authors' code

MATLAB · 46 lines · 1.7 KB · no license · 1 match

  1. addpath('../Functional/modules/nonfractal/m')
  2. addpath(genpath('../Functional/modules/wmtsa-matlab-0.2.6'))
  3. lb = [-0.5,0];
  4. ub = [1.5,10];
  6. H_combined = readtable('Hurst_schaefer100.csv', "FileType","text");
  7. col457 = H_combined.H_combined157;
  8. col458 = H_combined.H_combined158;
  9. col459 = H_combined.H_combined159;
  10. IDs = strcat(string(col457), string(col458), string(col459));
  11. H_all = table2cell(H_combined(:, 1:size(H_combined, 2)-3));
  12. sub_all = table2cell(H_combined(:, size(H_combined, 2)-2));
  13. ses_all = table2cell(H_combined(:, size(H_combined, 2)-1));
  14. run_all = table2cell(H_combined(:, size(H_combined, 2)));
  15. H_all = [];
  16. sub_all = [];
  17. ses_all = [];
  18. run_all = [];
  19. subjlist = dir('schaefer100/timeseries/*_timeseries.tsv');
  20. for n=1:length(subjlist)
  21. filename = subjlist(n).name;
  22. parts = split(filename, '_');
  23. sub=parts{1};
  24. ses=parts{2};
  25. run=parts{4};
  26. ID = strcat(sub, ses, run);
  27. if ~ismember(ID, IDs)
  28. disp(n/length(subjlist)*100)
  29. subpath = strcat(subjlist(n).folder, '/', subjlist(n).name);
  30. table = readtable(subpath, "FileType","text",'Delimiter', '\t');
  31. for j = 1:width(table)
  32. if isa(table.(j)(1),'double') == 0
  33. table.(j) = table.(j-1);
  34. end
  35. end
  36. ArrayTable = table2array(table);
  37. [H, nfcor, fcor] = bfn_mfin_ml(ArrayTable, 'filter', 'Haar', 'lb', lb, 'ub', ub);
  38. H_all = [H_all; num2cell(H)];
  39. sub_all = [sub_all; sub];
  40. ses_all = [ses_all; ses];
  41. run_all = [run_all; run];
  42. H_combined = [num2cell(H_all) cellstr(sub_all) cellstr(ses_all) cellstr(run_all)];
  43. H_combined = cell2table(H_combined);
  44. writetable(H_combined, 'Hurst_schaefer100.csv');
  45. end
  46. end

hurst_exponent.m at commit ec42462, no license · at the source

Overview

Authors: Monami Nishio1, Xinyi Wang2, Eli J. Cornblath3, Sung-Ho Lee4, Yen-Yu Ian Shih4, Nicola Palomero-Gallagher5,6, Michael J. Arcaro1, David M. Lydon-Staley2,7, Allyson P. Mackey1
ORCID iDs: Monami Nishio, Sung-Ho Lee, Nicola Palomero-Gallagher, Michael J. Arcaro
  1. Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
  2. Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA
  3. Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
  4. Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA
  5. Institute of Medicine, Research Centre, Jülich, D-52425, Germany
  6. C. & O. Vogt Institute of Brain Research, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
  7. Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
Institutions: University of Pennsylvania (United States); University of North Carolina at Chapel Hill (United States); Heinrich Heine University Düsseldorf (Germany); Leonard Davis Institute of Health Economics (United States)
Journal: NeuroImage, volume 332, article 121899
Dates: published online 31 March 2026; in print 15 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.neuroimage.2026.121899 · PMID 41933849 · PMCID PMC13494957 · OpenAlex W7143627050
Open access: gold, a free copy (OpenAlex)
Status: code verified (how the code is found and verified)
Categories: fMRI (modality), human (organism), rat (organism), cellular / molecular (subfield)
Methods: Spectral & time-frequency, Connectivity, Statistics, Preprocessing, Complexity, fMRI & imaging
Keywords: Hurst exponent, Pharmacological fMRI, Neural inhibition, Alcohol, GABAA receptor, Cross-species
MeSH: Brain*, Central Nervous System Depressants*, Ethanol*, Magnetic Resonance Imaging*, Neural Inhibition*, Adult, Animals, Brain Mapping, Humans, Male, Rats, Rats, Sprague-Dawley, Receptors, GABA-A, Young Adult (* major topic)
Topic: Neurotransmitter Receptor Influence on Behavior (Cellular and Molecular Neuroscience, Neuroscience), according to OpenAlex
Funding: NIAAA NIH HHS (P50 AA011605); NIH HHS (S10 OD026796); NIBIB NIH HHS (R01 EB033790); NIDA NIH HHS (R21 DA057503); Brain and Behavior Research Foundation; National Science Foundation (2045095); NIMH NIH HHS (R01 MH126518, S10 MH124745); Institute of International Education Inc; NICHD NIH HHS (P50 HD103573); NIA NIH HHS (R21 AG083589); NINDS NIH HHS (R21 NS133913); Heiwa Nakajima Foundation
Citations: not cited yet (Europe PMC); 108 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, with 4 matches between paragraphs and lines of code.

monami-nishio/alcohol_effect_hurst

License: none: the authors keep all their rights
State: the link answers, verified on 30 September 2026
Evidence: files inventoried
Commit: ec42462f8ab22ee7b05dfbefff25eafe37754fd2, 14 March 2026
Languages: Jupyter (8), R (2), MATLAB (2), Python (1)
Size: 229 files, 13 scripts
Software Heritage: not archived
Found in: “Data and code availability statement”
Holds: README, 5 notebooks
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: Matplotlib (9 files), NumPy (9 files), pandas (9 files), SciPy (8 files), seaborn (8 files), statsmodels (5 files), car (2 files), ggplot2 (2 files), ggseg (2 files), lme4 (2 files), lmerTest (2 files), mgcv (2 files), NiBabel (2 files), tidyverse (2 files), Nilearn (1 file)
Availability: 1 check, the latest on 30 September 2026: the link answers
  • 30 September 2026: the link answers
14 files
At the source: github.com/monami-nishio/alcohol_effect_hurst

Zenodo 19020258

License: CC-BY-4.0
State: the link answers, verified on 30 September 2026
Evidence: files inventoried
Size: 1 file
Software Heritage: not checked
Found in: “Data and code availability statement”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: Matplotlib (9 files), NumPy (9 files), pandas (9 files), SciPy (8 files), seaborn (8 files), statsmodels (5 files), car (2 files), ggplot2 (2 files), ggseg (2 files), lme4 (2 files), lmerTest (2 files), mgcv (2 files), NiBabel (2 files), tidyverse (2 files), Nilearn (1 file)
Availability: 1 check, the latest on 30 September 2026: the link answers (HTTP 200)
  • 30 September 2026: the link answers (HTTP 200)
14 files
At the source: doi.org/10.5281/zenodo.19020258

The paper's code and data availability statement is in the Data section.

Tracing map

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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;
  • 26 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);
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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/10.1016/j.neuroimage.2026.121899.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 9 authors, 6 keywords, 14 MeSH terms, 12 funders, 105 references.

Cite

This paper

Nishio, M., Wang, X., Cornblath, E. J., Lee, S.-H., Ian Shih, Y.-Y., Palomero-Gallagher, N., Arcaro, M. J., Lydon-Staley, D. M., & Mackey, A. P. (2026). Alcohol impacts an fMRI marker of neural inhibition in humans and rodents. NeuroImage, 332, 121899. https://doi.org/10.1016/j.neuroimage.2026.121899

BibTeX

@article{nishio2026alcohol,
author = {Nishio, Monami and Wang, Xinyi and Cornblath, Eli J. and Lee, Sung-Ho and Ian Shih, Yen-Yu and Palomero-Gallagher, Nicola and Arcaro, Michael J. and Lydon-Staley, David M. and Mackey, Allyson P.},
title = {{Alcohol impacts an fMRI marker of neural inhibition in humans and rodents}},
journal = {NeuroImage},
year = {2026},
month = mar,
volume = {332},
pages = {121899},
publisher = {Elsevier BV},
issn = {1053-8119},
doi = {10.1016/j.neuroimage.2026.121899},
url = {https://doi.org/10.1016/j.neuroimage.2026.121899},
pmid = {41933849},
pmcid = {PMC13494957}
}

RIS

TY - JOUR
AU - Nishio, Monami
AU - Wang, Xinyi
AU - Cornblath, Eli J.
AU - Lee, Sung-Ho
AU - Ian Shih, Yen-Yu
AU - Palomero-Gallagher, Nicola
AU - Arcaro, Michael J.
AU - Lydon-Staley, David M.
AU - Mackey, Allyson P.
TI - Alcohol impacts an fMRI marker of neural inhibition in humans and rodents
T2 - NeuroImage
J2 - Neuroimage
PY - 2026
DA - 2026/03/31
VL - 332
SP - 121899
SN - 1053-8119
PB - Elsevier BV
DO - 10.1016/j.neuroimage.2026.121899
UR - https://doi.org/10.1016/j.neuroimage.2026.121899
LA - en
ER -

CSL-JSON

{
"id": "10.1016/j.neuroimage.2026.121899",
"type": "article-journal",
"title": "Alcohol impacts an fMRI marker of neural inhibition in humans and rodents",
"container-title": "NeuroImage",
"author": [
{
"family": "Nishio",
"given": "Monami"
},
{
"family": "Wang",
"given": "Xinyi"
},
{
"family": "Cornblath",
"given": "Eli J."
},
{
"family": "Lee",
"given": "Sung-Ho"
},
{
"family": "Ian Shih",
"given": "Yen-Yu"
},
{
"family": "Palomero-Gallagher",
"given": "Nicola"
},
{
"family": "Arcaro",
"given": "Michael J."
},
{
"family": "Lydon-Staley",
"given": "David M."
},
{
"family": "Mackey",
"given": "Allyson P."
}
],
"container-title-short": "Neuroimage",
"volume": "332",
"page": "121899",
"DOI": "10.1016/j.neuroimage.2026.121899",
"PMID": "41933849",
"PMCID": "PMC13494957",
"ISSN": "1053-8119",
"publisher": "Elsevier BV",
"URL": "https://doi.org/10.1016/j.neuroimage.2026.121899",
"language": "en",
"issued": {
"date-parts": [
[
2026,
3,
31
]
]
}
}

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