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The dual interpretation of edge time series: Time-varying connectivity versus statistical interaction.

Code ↔ Paper

1 match 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 1 match
  1. [1] § STAR★Methods › Quantification and statistical analysis › Prewhitening ↔ fit_models.m, lines 34–120 · score 0.55 · regression coefficients, node pairs, residuals, ij, matrix

Paper

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

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The authors' code

MATLAB · 120 lines · 3.4 KB · no license · 1 match

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It can be read at the source: fit_models.m.

Overview

Authors: Haily Merritt1,2, Amanda Mejia3, Richard Betzel1,4,5,6
ORCID iDs: Richard Betzel
  1. Cognitive Science Program, Indiana University, Bloomington, IN, USA
  2. School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA
  3. Department of Statistics, Indiana University, Bloomington, IN, USA
  4. Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA
  5. Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
  6. Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
Institutions: Indiana University Bloomington (United States); Indiana University (United States); University of Minnesota (United States)
Journal: iScience, volume 29, issue 6, article 115949
Dates: received 19 September 2024; accepted 27 April 2026; published online 22 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.isci.2026.115949 · PMID 42231974 · PMCID PMC13224015 · OpenAlex W4402098305
Open access: gold, a free copy (OpenAlex)
Status: code verified
Methods: Spectral & time-frequency, Statistics, Preprocessing, Graphs, Single-unit activity, calcium imaging, Smoothing, state filtering, decompositions
Keywords: natural sciences, biological sciences, neuroscience, systems neuroscience, techniques in neuroscience
Topic: Complex Systems and Time Series Analysis (Economics and Econometrics, Economics, Econometrics and Finance), according to OpenAlex
Funding: Neighborhood Coalition for Shelter; National Science Foundation; National Institute on Aging; National Science Foundation Division of Information and Intelligent Systems (2023985)
Citations: cited by 1 paper (Europe PMC); 96 references in the paper
Research resources: NiLearn RRID:SCR_001362http, MATLAB RRID:SCR_001622https, Freesurfer RRID:SCR_001847https, Brain Connectivity Toolbox RRID:SCR_004841https, fMRIPrep RRID:SCR_016216https

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 1 match between paragraphs and lines of code.

Zenodo 18377915

License: MIT
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Size: 1 file
Software Heritage: not checked
Found in: “Data and code availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
  • 28 September 2026: the link answers (HTTP 200)
8 files

Zenodo 18377883

License: CC-BY-4.0
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Size: 1 file
Software Heritage: not checked
Found in: “Data and code availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
  • 28 September 2026: the link answers (HTTP 200)
2 files

brain-networks/ets_glms

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Commit: f9f6238da55c6121880a412c901db56888a95f2b, 14 November 2025
Languages: MATLAB (1)
Size: 3 files, 1 script
Software Heritage: not archived
Found in: the Zenodo archive record
Holds: README
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link answers
  • 28 September 2026: the link answers
2 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 f9f6238, when its fingerprint is the one OSCR verified. How this works.

  • fit_models.m — MATLAB, 120 lines, 1 match, shown from its source
  • README.md — Text, 34 lines, shown from its source

brain-networks/edge-centric_demo

License: MIT
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Commit: 87f1b65890274f63b97dc62e647bd730321d58a9, 6 November 2020
Languages: MATLAB (6)
Size: 12 files, 6 scripts
Software Heritage: archived
Found in: the Zenodo archive record
Holds: README, license file
Not found: CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link answers
  • 28 September 2026: the link answers
8 files

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:

  • 4 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 14 scripts, each with its path and the digest of its content;
  • 1 match 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

Availability statements

The paper has a code and data availability statement and a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing them here; in short, from what the harvester recognized in them:

Read them in the paper: doi.org/10.1016/j.isci.2026.115949.

Versions

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Version 2, 28 September 2026

  • Authors: added Richard Betzel (0000-0001-9200-1681); removed Richard Betzel

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 5 keywords, 4 funders, 89 references, 5 RRIDs.

Cite

This paper

Merritt, H., Mejia, A., & Betzel, R. (2026). The dual interpretation of edge time series: Time-varying connectivity versus statistical interaction. iScience, 29(6), 115949. https://doi.org/10.1016/j.isci.2026.115949

BibTeX

@article{merritt2026dual,
author = {Merritt, Haily and Mejia, Amanda and Betzel, Richard},
title = {{The dual interpretation of edge time series: Time-varying connectivity versus statistical interaction}},
journal = {iScience},
year = {2026},
month = may,
volume = {29},
number = {6},
pages = {115949},
publisher = {Elsevier},
issn = {2589-0042},
doi = {10.1016/j.isci.2026.115949},
url = {https://doi.org/10.1016/j.isci.2026.115949},
pmid = {42231974},
pmcid = {PMC13224015}
}

RIS

TY - JOUR
AU - Merritt, Haily
AU - Mejia, Amanda
AU - Betzel, Richard
TI - The dual interpretation of edge time series: Time-varying connectivity versus statistical interaction
T2 - iScience
J2 - iScience
PY - 2026
DA - 2026/05/22
VL - 29
IS - 6
SP - 115949
SN - 2589-0042
PB - Elsevier
DO - 10.1016/j.isci.2026.115949
UR - https://doi.org/10.1016/j.isci.2026.115949
LA - en
ER -

CSL-JSON

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

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