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Physical activity simultaneously improves working memory and ripple-spindle coupling

Code ↔ Paper

9 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 9 matches · 5 of them tie a paragraph to a whole file, not to given lines: weak matches, whose lines are not tinted
  1. [1] § Methods › MEG-Ripple to EEG-low-frequency coupling › Ripple spindle coupling ↔ WM_function/circ_wwtest.m, lines 1–76 · score 0.85 · parametric Watson Williams, circ_wwtest, Circular Statistics Toolbox, bins, angle
  2. [2] § Methods › Temporal coordination of ripples with spindle events ↔ Get_Figure6_spindle_example.m, the whole file · a weak match · score 0.58 · 13–20 Hz, spindle band, envelope, filtered, positioned, 13 Hz
  3. [3] § Methods › MEG-Ripple to EEG-low-frequency coupling › Ripple spindle coupling ↔ WM_function/circ_r.m, the whole file · a weak match · score 0.57 · Circular Statistics Toolbox, spaced, bins, summed, angle
  4. [4] § Results › Temporal coordination of ripples with wake spindle events ↔ Get_Figure6_spindle_example.m, the whole file · a weak match · score 0.57 · 13–20 Hz, 1–200 Hz, spindle band, filtered, Figure 6, 13 Hz
  5. [5] § Results › Ripple activity ↔ Get_Figure3_ripple_example.m, the whole file · a weak match · score 0.55 · 80–150 Hz, 1–200 Hz, ripple band, filtered, 80 Hz, Figure 3
  6. [6] § Methods › The correlation of ripples with memory capacity ↔ Get_Figure4_Ripplelikelihood.m, the whole file · a weak match · score 0.54 · ripple likelihood, 2.5 sec, 1.5 sec, correlated
  7. [7] § Results › MEG-Ripple to EEG-low-Frequency coupling › Ripple centered EEG epochs ↔ Get_Figure5_Ripple_spindle_phase_shift.m, lines 17–60 · score 0.54 · spindle phases, Error bars, Ripple likelihood, Figure 5
  8. [8] § Results › MEG-Ripple to EEG-low-Frequency coupling › Ripple centered EEG epochs ↔ Get_Figure5_Ripple_spindlewave_rand.m, lines 50–126 · score 0.52 · 10–32 msec, 14 msec, ripple peak, coupling, amplitude, 10 msec
  9. [9] § Results › MEG-Ripple to EEG-low-Frequency coupling › Ripple centered EEG epochs ↔ Get_Figure5_Ripple_spindlewave_comparison.m, lines 7–42 · score 0.51 · 10–32 msec, 14 msec, ripple peak, amplitude, 10 msec, spindles

Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

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The authors' code

MATLAB · 52 lines · 1.3 KB · no license · 2 matches

  1. clear all
  2. close all
  3. clc
  5. load('spindle_example_data.mat')
  7. % plot
  8. figure('Units','centimeter','Position',[5 5 25 15])
  9. subplot(4,1,1)
  10. hold on
  11. plot(time,data)
  12. plot(time(spindle_durat(1):spindle_durat(2)),data(spindle_durat(1):spindle_durat(2)),'r')
  13. xticks([1 2 3 4 5])
  14. xticklabels({'','','','',''})
  15. text(0.25, 1.5e-5,['1-200 Hz'],'FontSize',13)
  16. ylabel('raw data');
  17. hold off
  19. subplot(4,1,2)
  20. hold on
  21. plot(time,data_filt)
  22. plot(time(spindle_durat(1):spindle_durat(2)),data_filt(spindle_durat(1):spindle_durat(2)),'r')
  23. xticks([1 2 3 4 5])
  24. xticklabels({'','','','',''})
  25. text(0.25, -.5e-5,['13-20 Hz'],'FontSize',13)
  26. ylabel('spindle band');
  27. hold off
  29. subplot(4,1,3)
  30. hold on
  31. plot(time,data_enve)
  32. plot(time(spindle_durat(1):spindle_durat(2)),data_enve(spindle_durat(1):spindle_durat(2)),'r')
  33. xticks([1 2 3 4 5])
  34. xticklabels({'','','','',''})
  35. text(0.25, .5e-5,['13-20 Hz'],'FontSize',13)
  36. ylabel('spindle band envelope');
  37. hold off
  39. subplot(4,1,4)
  40. A = Y( :,:,end:-1:1);
  41. ga = squeeze( mean(A,1));
  42. [Xi,Yi] = meshgrid(linspace( 1,length( F ),100 ),1:length( time ) );
  43. gai = interp2(ga,Xi,Yi )';
  44. mar = linspace( 1,100,length( F( end:-2:1,: )) );
  45. lab = round( mean( F( end:-2:1,: ),2 ));
  46. imagesc( time,1,gai )
  47. set( gca,'ytick',mar,'yticklabel',num2str(lab))
  48. xticks([0 1 2 3 4])
  49. ylabel('Power spectrogram')
  50. c= colorbar;
  51. c.Location = 'manual';
  52. c.Position = [0.86 0.13 0.02 0.11];

Get_Figure6_spindle_example.m at commit 3c09ea7, no license · at the source

Overview

Authors: Xinyun Che1, Benedikt Auer1, Paul Schmid1, Christoph Reichert1, Annemarie Scholz1, Tom Weischner1, Robert T Knight2,3, Stefan Dürschmid1,2,3
ORCID iDs: Xinyun Che, Christoph Reichert, Annemarie Scholz, Tom Weischner, Robert T Knight, Stefan Dürschmid
  1. Leibniz Institute for Neurobiology, Magdeburg, Germany
  2. Departments of Psychology and Neuroscience, University of California Berkeley, Berkeley, CA USA
  3. Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA USA
Institutions: Leibniz Institute for Neurobiology (Germany); University of California, Berkeley (United States)
Journal: n/a, volume 8, issue 1, article 1187
Dates: received 17 June 2024; accepted 28 July 2025; published online 8 August 2025
Type: Research article · Language: English
License: none stated
Identifiers: DOI 10.1038/s42003-025-08618-3 · PMCID PMC12334720 · OpenAlex W4413054949
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: EEG (modality), MEG (modality), human (organism), cognitive (subfield)
Methods: Spectral & time-frequency, Preprocessing, Statistics, Smoothing, state filtering, decompositions, Connectivity, fMRI & imaging
Keywords: Cognitive neuroscience, Human behaviour
MeSH: Exercise*, Memory, Short-Term*, Adult, Electroencephalography, Female, Humans, Magnetoencephalography, Male, Wakefulness, Young Adult (* major topic)
Topic: Sleep and Wakefulness Research (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Deutsche Forschungsgemeinschaft (German Research Foundation) (SFB 1436); NINDS NIH HHS (R01 NS021135)
Citations: not cited yet (Europe PMC); 45 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (none stated) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Repository

Its files are read in the Code ↔ Paper reader above, with 9 matches between paragraphs and lines of code.

SDuerschmid/PhysicalExerciseWorkingMemory

License: none: the authors keep all their rights
State: the link answers, verified on 26 September 2026
Evidence: files inventoried
Commit: 3c09ea71449431b3119bf283e9b03485fc2ea634, 7 July 2025
Languages: MATLAB (51)
Size: 80 files, 51 scripts
Software Heritage: not archived
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: Statistics and Machine Learning Toolbox (12 files), shadedErrorBar (7 files), CircStat (5 files), EEGLAB (1 file)
Availability: 1 check, the latest on 26 September 2026: the link answers
  • 26 September 2026: the link answers
51 files
At the source: github.com/SDuerschmid/PhysicalExerciseWorkingMemory

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:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 51 scripts, each with its path and the digest of its content;
  • 9 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.

Code and data availability statement

The paper has a code and data availability statement. Its license (none stated) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s42003-025-08618-3.

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, 8 authors, 2 keywords, 10 MeSH terms, 2 funders, 44 references.

Cite

This paper

Che, X., Auer, B., Schmid, P., Reichert, C., Scholz, A., Weischner, T., Knight, R. T., & Dürschmid, S. (2025). Physical activity simultaneously improves working memory and ripple-spindle coupling. Communications Biology, 8(1), 1187. https://doi.org/10.1038/s42003-025-08618-3

BibTeX

@article{che2025physical,
author = {Che, Xinyun and Auer, Benedikt and Schmid, Paul and Reichert, Christoph and Scholz, Annemarie and Weischner, Tom and Knight, Robert T and Dürschmid, Stefan},
title = {{Physical activity simultaneously improves working memory and ripple-spindle coupling}},
journal = {Communications Biology},
year = {2025},
volume = {8},
number = {1},
pages = {1187},
publisher = {Nature Publishing Group},
issn = {2399-3642},
doi = {10.1038/s42003-025-08618-3},
url = {https://doi.org/10.1038/s42003-025-08618-3},
pmcid = {PMC12334720}
}

RIS

TY - JOUR
AU - Che, Xinyun
AU - Auer, Benedikt
AU - Schmid, Paul
AU - Reichert, Christoph
AU - Scholz, Annemarie
AU - Weischner, Tom
AU - Knight, Robert T
AU - Dürschmid, Stefan
TI - Physical activity simultaneously improves working memory and ripple-spindle coupling
T2 - Communications Biology
J2 - Commun Biol
PY - 2025
DA - 2025
VL - 8
IS - 1
SP - 1187
SN - 2399-3642
PB - Nature Publishing Group
DO - 10.1038/s42003-025-08618-3
UR - https://doi.org/10.1038/s42003-025-08618-3
LA - en
ER -

CSL-JSON

{
"id": "10.1038/s42003-025-08618-3",
"type": "article-journal",
"title": "Physical activity simultaneously improves working memory and ripple-spindle coupling",
"container-title": "Communications Biology",
"author": [
{
"family": "Che",
"given": "Xinyun"
},
{
"family": "Auer",
"given": "Benedikt"
},
{
"family": "Schmid",
"given": "Paul"
},
{
"family": "Reichert",
"given": "Christoph"
},
{
"family": "Scholz",
"given": "Annemarie"
},
{
"family": "Weischner",
"given": "Tom"
},
{
"family": "Knight",
"given": "Robert T"
},
{
"family": "Dürschmid",
"given": "Stefan"
}
],
"container-title-short": "Commun Biol",
"volume": "8",
"issue": "1",
"page": "1187",
"DOI": "10.1038/s42003-025-08618-3",
"PMCID": "PMC12334720",
"ISSN": "2399-3642",
"publisher": "Nature Publishing Group",
"URL": "https://doi.org/10.1038/s42003-025-08618-3",
"language": "en",
"issued": {
"date-parts": [
[
2025
]
]
}
}

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

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