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Spectral dynamic causal modeling of effective connectivity across multiple brain networks in pilot trainees.

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 ↔ step3_PEB_group_Behavoir_brain_together_corr.m, lines 33–46 · score 0.55 · Bayesian model, model comparison, BMA, PEB

Paper

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

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The authors' code

MATLAB · 49 lines · 1.8 KB · CC-BY-4.0 · 1 match

  1. %% =========================================================================
  2. % 目标: 使用PEB检验神经-行为相关性在两组间的差异 (交互作用分析)
  3. % =========================================================================
  5. % --- 准备GCM文件和行为学数据 ---
  7. clear;clc;load('SubjectsBehaviorData.mat');load('GCM_Flight_airTraffic.mat');
  8. %% 1. 构建PEB设计矩阵 M.X (包含交互项)
  9. N1 = 39; % 第一组被试个数
  10. N2 = 37; % 第二组被试个数
  12. % C1: 均值/截距项 (所有被试的共同效应)
  13. C1_mean = ones(N1 + N2, 1);
  15. % C2: 组别主效应 (第一组 vs 第二组的平均差异)
  16. C2_group = [ones(N1, 1); -ones(N2, 1)];
  17. C2_group = C2_group - mean(C2_group);
  18. % C3: 行为学主效应 (行为得分对连接的总体影响)
  19. % 对协变量进行均值中心化每个beishiParametric_Empirical_Bayes_(PEB)
  20. C3_behavior = bcstCorr - mean(bcstCorr);
  22. % C4: 交互项 (组别 * 行为学)
  23. % 它代表了“行为学效应”是否被“组别”所调节。
  24. C4_interaction = C2_group .* C3_behavior; % 组别向量和行为向量的逐元素相乘
  26. %年龄变量
  27. C5_age=age-mean(age);
  29. % 最终的设计矩阵
  30. M.X = [C1_mean, C3_behavior, C2_group, C4_interaction, C5_age];
  31. M.Xnames = {'Mean', 'Behavior_Effect', 'Group_Effect', 'Group_x_Behavior_Interaction','Age_Effect'};
  33. %% 2. 运行PEB分析
  35. % Choose field
  36. field = {'A'};
  38. % Estimate PEB
  39. fprintf("PEB评估开始\n");
  40. PEB = spm_dcm_peb(GCM, M, field); % 构建模型并评估
  41. save PEB_Interaction_bcstCorr_nonGroupInteraction_Analysis.mat PEB % 保存的文件名称，建议修改
  43. % Bayesian Model Comparison to find optimal model
  44. BMA = spm_dcm_peb_bmc(PEB); % 256次迭代找最优
  45. save BMA_Interaction_bcstCorr_nonGroupInteraction_Analysis.mat BMA
  46. fprintf("PEB结束\n");
  48. %% 3. 查看结果
  49. spm_dcm_peb_review(BMA, GCM);

step3_PEB_group_Behavoir_brain_together_corr.m, under CC-BY-4.0 · at the source

Overview

Authors: Lu Ye1,2, Yang Zhang1, Dongfeng Yan1
ORCID iDs: Yang Zhang, Dongfeng Yan
  1. Civil Aviation Flight University of China, Deyang, Sichuan, China
  2. Nanjing University of Aeronautics and Astronautics, Nanjing, China
Institutions: Civil Aviation Flight University of China (China); Nanjing University of Aeronautics and Astronautics (China)
Journal: iScience, volume 29, issue 4, article 115369
Dates: received 30 September 2025; accepted 11 March 2026; published online 13 March 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.isci.2026.115369 · PMID 41952989 · PMCID PMC13053750 · OpenAlex W7135213079
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: systems (subfield)
Methods: Spectral & time-frequency, Connectivity, Statistics, fMRI & imaging, Machine learning
Keywords: Health sciences, Medicine, Neurology, Military medicine
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Fundamental Research Funds for the Central Universities (25CAFUC09012); Civil Aviation Administration of China
Citations: not cited yet (Europe PMC); 76 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.

Repository

Its files are read in the Code ↔ Paper reader above, with 1 match between paragraphs and lines of code.

Zenodo 18463993

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”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: SPM (3 files)
Availability: 1 check, the latest on 30 September 2026: the link answers (HTTP 200)
  • 30 September 2026: the link answers (HTTP 200)
3 files
At the source: doi.org/10.5281/zenodo.18463993

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.

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  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 3 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

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:

  • it points to the authors' code: Zenodo 18463993
  • it says that the data are available on request
  • it says that the code is available on request

Read it in the paper: doi.org/10.1016/j.isci.2026.115369.

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, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 4 keywords, 2 funders, 72 references.

Cite

This paper

Ye, L., Zhang, Y., & Yan, D. (2026). Spectral dynamic causal modeling of effective connectivity across multiple brain networks in pilot trainees. iScience, 29(4), 115369. https://doi.org/10.1016/j.isci.2026.115369

BibTeX

@article{ye2026spectral,
author = {Ye, Lu and Zhang, Yang and Yan, Dongfeng},
title = {{Spectral dynamic causal modeling of effective connectivity across multiple brain networks in pilot trainees}},
journal = {iScience},
year = {2026},
month = mar,
volume = {29},
number = {4},
pages = {115369},
publisher = {Elsevier},
issn = {2589-0042},
doi = {10.1016/j.isci.2026.115369},
url = {https://doi.org/10.1016/j.isci.2026.115369},
pmid = {41952989},
pmcid = {PMC13053750}
}

RIS

TY - JOUR
AU - Ye, Lu
AU - Zhang, Yang
AU - Yan, Dongfeng
TI - Spectral dynamic causal modeling of effective connectivity across multiple brain networks in pilot trainees
T2 - iScience
J2 - iScience
PY - 2026
DA - 2026/03/13
VL - 29
IS - 4
SP - 115369
SN - 2589-0042
PB - Elsevier
DO - 10.1016/j.isci.2026.115369
UR - https://doi.org/10.1016/j.isci.2026.115369
LA - en
ER -

CSL-JSON

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"volume": "29",
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"page": "115369",
"DOI": "10.1016/j.isci.2026.115369",
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"PMCID": "PMC13053750",
"ISSN": "2589-0042",
"publisher": "Elsevier",
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