Brain-wide information flow dynamics during novel visual processing in humans.
The 5 matches · all tie a paragraph to a whole file, not to given lines: weak matches, whose lines are not tinted
- [1] § Results ↔ Figure_3/Figure_3B.m, the whole file · a weak match · score 0.53 · PHC FG, PreC, 239 ms, TC, FC, PC
- [2] § Results ↔ Figure_4/Figure_4B.m, the whole file · a weak match · score 0.53 · PHC FG, PreC, 239 ms, TC, FC, PC
- [3] § Results ↔ Figure_S2/Figure_S2C.m, the whole file · a weak match · score 0.53 · place active, PHC FG, PreC, MFG, latencies, AMY
- [4] § Results ↔ Figure_S2/Figure_S2B.m, the whole file · a weak match · score 0.52 · face active, PHC FG, PreC, MFG, latencies, AMY
- [5] § Results ↔ Figure_S2/Figure_S2C.m, the whole file · a weak match · score 0.50 · place active, PHC FG, PreC, MFG, AMY, HIPP
Paper
Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC
The paper is loaded when this pane is shown.
The authors' code
MATLAB · 40 lines · 1.5 KB · CC-BY-4.0 · 2 matches
- %% Figure S2C
- % load data
- load('Figure_S2C.mat')
- % plot
- figure('Color','w','Position',[1200,400,500,500]);
- for n = 1:size(electrode_ind_all,1)
- mean_temp = []; sem_temp = [];
- Uni = unique(electrode_ind_all{n,1});
- for A=1:size(unique(electrode_ind_all{n,1}))
- Area = Uni(A); idx = ismember(electrode_ind_all{n,1},Area);
- latency = cell2mat(electrode_ind_all{n,2});
- plot_temp=latency(idx);
- mean_temp = [mean_temp;mean(plot_temp)];
- if length(plot_temp) >= 3
- sem_temp = [sem_temp;std(plot_temp')/sqrt(length(plot_temp'))];%sem
- else
- sem_temp = [sem_temp;nan];
- end
- end
- scatter(unique(electrode_ind_all{n,1})',mean_temp,60,[1,1,1]*0.10*n,'filled','jitter', 'off', 'marker','o');hold on;%
- errorbar(unique(electrode_ind_all{n,1})',mean_temp,sem_temp,'linewidth',2,'color',[1 1 1]*0.10*n,'capsize',0);
- end
- set(gca,'Xlim',[0.5 11.5],'XTick',1:1:11,'TickDir','out');
- set(gca,'Ylim',[0 800],'YTick',0:200:800);
- set(gca,'Xticklabels',{'OC','PreC','IPL','SPL','PHC&FG','LTL','MFG','IFG','SFG','HIPP','AMY'},'FontSize', 10);
- ylabel('Latency (ms)','FontSize', 13)
- title('Place-active')
- view(90,-90);box off;
- % colorbar
- figure('Color','w','Position',[1400 400 400 200]);
- caxis([0 1]);
- colormap(flipud(gray));
- cb = colorbar('Location','south');
- set(cb, 'ytick', linspace(0, 1, 2), 'yticklabel',{1,n},'fontsize',13);
- axis off;
- cb.Label.String = 'Subjects';
- cb.Label.FontSize = 12;
Figure_S2C.m, under CC-BY-4.0 · at the source
Overview
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Third Military Medical University, Chongqing, China
- Department of Ophthalmology, Xinqiao Hospital, Third Military Medical University, Chongqing, China
- Department of Ophthalmology, Daping Hospital, Third Military Medical University, Chongqing, China
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing, China
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, China
- Chongqing Institute for Brain and Intelligence, Guangyang Bay Laboratory, Chongqing, China
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 5 matches between paragraphs and lines of code.
Zenodo 19643440
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
- 28 September 2026: the link answers (HTTP 200)
22 files
- Figure_3/
Figure_3B.m , MATLAB, 38 lines, 1 match - Figure_4/
Figure_4B.m , MATLAB, 37 lines, 1 match - Figure_4/
Figure_4C.m , MATLAB, 37 lines - Figure_5/
Figure_5C.m , MATLAB, 74 lines - Figure_5/
Figure_5D.m , MATLAB, 158 lines - Figure_6/
Figure_6A.m , MATLAB, 212 lines - Figure_6/
Figure_6B.m , MATLAB, 208 lines - Figure_S2/
Figure_S2A.m , MATLAB, 41 lines - Figure_S2/
Figure_S2B.m , MATLAB, 41 lines, 1 match - Figure_S2/
Figure_S2C.m , MATLAB, 40 lines, 2 matches - Figure_S3/
Figure_S3A.m , MATLAB, 74 lines - Figure_S3/
Figure_S3B.m , MATLAB, 74 lines - Figure_S3/
Figure_S3C.m , MATLAB, 74 lines - dependencies/
bezier-master/ , MATLAB, 15 lines+bezier/ constants.m - dependencies/
bezier-master/ , MATLAB, 83 lines+bezier/ draw.m - dependencies/
bezier-master/ , MATLAB, 130 lines+bezier/ eval.m - dependencies/
bezier-master/ , MATLAB, 127 lines+bezier/ explore.m - dependencies/
bezier-master/ , MATLAB, 148 lines+bezier/ view.m - dependencies/
bezier-master/ , MATLAB, 160 linesbeziertest.m - dependencies/
cbrewer/ , MATLAB, 128 linescbrewer.m - dependencies/
cbrewer/ , MATLAB, 36 linesinterpolate_cbrewer.m - README.md, Text, 22 lines
Code availability statement
The paper has a code 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 19643440
- it says that the code is available on request
Read it in the paper: doi.org/10.1038/s42003-026-10262-4.
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;
- 21 scripts, each with its path and the digest of its content;
- 5 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.
Data availability statement
The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:
- no repository, dataset or request procedure was recognized in it
Read it in the paper: doi.org/10.1038/s42003-026-10262-4.
Versions
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Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 2 keywords, 11 MeSH terms, 1 funder, 44 references.
Cite
This paper
Huang, W., Song, J., Huangfu, J., Liang, S., Wang, Z., Liao, X., Zhang, C., Chen, X., Yuan, R., & Wang, L. (2026). Brain-wide information flow dynamics during novel visual processing in humans. Communications biology, 9(1), 1047. https://
BibTeX
@article{huang2026brain,
author = {Huang, Wushuang and Song, Jianping and Huangfu, Jingru and Liang, Shanshan and Wang, Zhiji and Liao, Xiang and Zhang, Chunqing and Chen, Xiaowei and Yuan, Rongdi and Wang, Lukang},
title = {{Brain-wide information flow dynamics during novel visual processing in humans}},
journal = {Communications biology},
year = {2026},
month = may,
volume = {9},
number = {1},
pages = {1047},
publisher = {Nature Publishing Group},
issn = {2399-3642},
doi = {10.1038/
url = {https://
pmid = {42144472},
pmcid = {PMC13443792}
}
RIS
TY - JOUR
AU - Huang, Wushuang
AU - Song, Jianping
AU - Huangfu, Jingru
AU - Liang, Shanshan
AU - Wang, Zhiji
AU - Liao, Xiang
AU - Zhang, Chunqing
AU - Chen, Xiaowei
AU - Yuan, Rongdi
AU - Wang, Lukang
TI - Brain-wide information flow dynamics during novel visual processing in humans
T2 - Communications biology
J2 - Commun Biol
PY - 2026
DA - 2026/
VL - 9
IS - 1
SP - 1047
SN - 2399-3642
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
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"title": "Brain-wide information flow dynamics during novel visual processing in humans",
"container-title": "Communications biology",
"author": [
{
"family": "Huang",
"given": "Wushuang"
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{
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{
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},
{
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{
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{
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{
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{
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},
{
"family": "Yuan",
"given": "Rongdi"
},
{
"family": "Wang",
"given": "Lukang"
}
],
"container-title-short":
"volume": "9",
"issue": "1",
"page": "1047",
"DOI": "10.1038/
"PMID": "42144472",
"PMCID": "PMC13443792",
"ISSN": "2399-3642",
"publisher": "Nature Publishing Group",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
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18
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]
}
}
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