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Cognitive control networks causally support implicit emotion regulation: evidence from dlPFC stimulation and directed functional connectivity.

Code ↔ Paper

16 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 16 matches
  1. [1] § Materials and methods › Electrophysiological data recording, preprocessing, and analysis › Brain connectivity: preprocessing and analysis ↔ analysis/scripts/tDCS_CONN_OSF.m, lines 72–107 · score 0.82 · artifact rejection, deflation, fastICA, nonlinearity, pow3, classified
  2. [2] § Materials and methods › Electrophysiological data recording, preprocessing, and analysis › Brain connectivity: preprocessing and analysis ↔ analysis/scripts/tDCS_conn_theta_OSF.R, lines 1–44 · score 0.78 · Theta band connectivity, dACC, left IPS, right IPS, cingulo opercular, dlPFC
  3. [3] § Materials and methods › Electrophysiological data recording, preprocessing, and analysis › Brain connectivity: preprocessing and analysis ↔ analysis/scripts/tDCS_CONN_OSF.m, lines 127–272 · score 0.77 · dACC, MNE, lambda, ROI, noise, localized
  4. [4] § Materials and methods › Electrophysiological data recording, preprocessing, and analysis › EMG: preprocessing and analysis ↔ analysis/scripts/tDCS_EMG_corrugator_OSF.m, lines 135–170 · score 0.75 · 450–2000 ms, post stimulus, 450 ms, EMG, baseline, 200 ms
  5. [5] § Materials and methods › Electrophysiological data recording, preprocessing, and analysis › ERP: preprocessing and analysis ↔ analysis/scripts/tDCS_CONN_OSF.m, lines 72–107 · score 0.74 · artifact rejection, channel screening, IQR, windowed, muscle, thresholding
  6. [6] § Materials and methods › Electrophysiological data recording, preprocessing, and analysis › ERP: preprocessing and analysis ↔ analysis/scripts/tDCS_ERP_OSF.m, lines 61–83 · score 0.73 · artifact rejection, range artifacts, IQR, windowed, muscle, thresholding
  7. [7] § Materials and methods › Statistical analysis › Linear mixed-effects models ↔ analysis/scripts/tDCS_subj_rat_MC_OSF.R, lines 1–39 · score 0.71 · baseline emotional reactivity, Manipulation checks, NREG NEU, NREG NEG, tDCS, arousal
  8. [8] § Results › Brain connectivity ↔ analysis/scripts/tDCS_conn_theta_OSF.R, lines 1–44 · score 0.69 · theta band connectivity, left IPS, right IPS, dlPFC, NREG NEG, network
  9. [9] § Materials and methods › Statistical analysis › Linear mixed-effects models ↔ analysis/scripts/tDCS_subj_rat_ER_OSF.R, lines 454–522 · score 0.63 · p.adjust, boot.ci, bootMer, emotion regulation, linear mixed, Sham session
  10. [10] § Materials and methods › Statistical analysis › Linear mixed-effects models ↔ analysis/scripts/tDCS_subj_rat_MC_OSF.R, lines 527–596 · score 0.62 · p.adjust, boot.ci, bootMer, linear mixed, Sham session, FDR
  11. [11] § Materials and methods › Electrophysiological data recording, preprocessing, and analysis › ERP: preprocessing and analysis ↔ analysis/scripts/tDCS_EMG_corrugator_OSF.m, lines 135–170 · score 0.59 · 450–2000 ms, 450 ms, post, sham
  12. [12] § Materials and methods › Electrophysiological data recording, preprocessing, and analysis › Brain connectivity: preprocessing and analysis ↔ analysis/scripts/tDCS_ERP_OSF.m, lines 61–83 · score 0.58 · artifact rejection, detection, IQR, muscle, threshold, 47 Hz
  13. [13] § Materials and methods › Statistical analysis › Linear mixed-effects models ↔ analysis/scripts/tDCS_EMG_corrugator_ER_OSF.R, lines 1–47 · score 0.57 · Manipulation checks, emotional reactivity, NREG NEG, amplitudes, tDCS, EMG
  14. [14] § Results › Pre-stimulus alpha power ↔ analysis/scripts/tDCS_alpha_power_OSF.R, lines 1–78 · score 0.54 · alpha power, left V1, NREG NEG, tDCS, dlPFC, regulation
  15. [15] § Materials and methods › Electrophysiological data recording, preprocessing, and analysis › Brain connectivity: preprocessing and analysis ↔ analysis/scripts/tDCS_CONN_OSF.m, lines 127–272 · score 0.52 · 15–30 Hz, 3–7 Hz, 15 Hz, theta, beta
  16. [16] § Materials and methods › Statistical analysis › Linear mixed-effects models ↔ analysis/scripts/tDCS_conn_beta_OSF.R, lines 1–53 · score 0.52 · beta band connectivity, NREG NEG, hypothesis, tDCS, disruption, dlPFC

Paper

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

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The authors' code

MATLAB · 277 lines · 8.3 KB · no license · 4 matches

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It can be read at the source: analysis/scripts/tDCS_CONN_OSF.m.

Overview

Authors: Agnieszka K. Adamczyk1,2, Miroslaw Wyczesany2
ORCID iDs: Agnieszka K. Adamczyk
  1. Behavioural Science Institute, Radboud University,Thomas van Aquinostraat 4, Postbus 9104, 6525 GD Nijmegen, The Netherlands
  2. Institute of Psychology, Jagiellonian University,ul. Ingardena 6, 30-060 Krakow, Poland
Institutions: Radboud University Nijmegen (Netherlands); Jagiellonian University (Poland)
Journal: Scientific reports, volume 16, issue 1, article 25123
Dates: received 31 October 2025; accepted 12 May 2026; published online 3 June 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-53424-4 · PMID 42236532 · PMCID PMC13469618 · OpenAlex W7163392938
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: EEG (modality), other (modality), human (organism), cognitive (subfield)
Methods: Connectivity, Spectral & time-frequency, Statistics, Smoothing, state filtering, decompositions, Preprocessing, Evoked potentials, fMRI & imaging, Physiology & signal measures
Keywords: Automatic emotion regulation, Noninvasive brain stimulation, Theta-band connectivity, Neural oscillations, Late positive potential (LPP), Neuroscience, Psychology
MeSH: Cognition*, Dorsolateral Prefrontal Cortex*, Emotional Regulation*, Emotions*, Nerve Net*, Adult, Brain Mapping, Electroencephalography, Female, Humans, Transcranial Direct Current Stimulation, Young Adult (* major topic)
Topic: Neural and Behavioral Psychology Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Narodowym Centrum Nauki (2019/35/B/HS6/03687)
Citations: not cited yet (Europe PMC); 93 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 16 matches between paragraphs and lines of code.

OSF vz43g

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Languages: R (9), MATLAB (4)
Size: 132 files, 13 scripts
Software Heritage: not checked
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: tidyverse (9 files), BayesFactor (8 files), car (8 files), cowplot (8 files), ggplot2 (8 files), lme4 (6 files), lmerTest (6 files), brms (2 files), FieldTrip (1 file), Signal Processing Toolbox (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)
13 files, to read at the source

This repository has no license: its authors keep all rights. Read it at the source.

At the source: osf.io/vz43g/

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;
  • 13 scripts, each with its path and the digest of its content;
  • 16 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 (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/10.1038/s41598-026-53424-4.

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, 2 authors, 7 keywords, 12 MeSH terms, 1 funder, 83 references.

Cite

This paper

Adamczyk, A. K., & Wyczesany, M. (2026). Cognitive control networks causally support implicit emotion regulation: evidence from dlPFC stimulation and directed functional connectivity. Scientific reports, 16(1), 25123. https://doi.org/10.1038/s41598-026-53424-4

BibTeX

@article{adamczyk2026cognitive,
author = {Adamczyk, Agnieszka K. and Wyczesany, Miroslaw},
title = {{Cognitive control networks causally support implicit emotion regulation: evidence from dlPFC stimulation and directed functional connectivity}},
journal = {Scientific reports},
year = {2026},
month = jun,
volume = {16},
number = {1},
pages = {25123},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-53424-4},
url = {https://doi.org/10.1038/s41598-026-53424-4},
pmid = {42236532},
pmcid = {PMC13469618}
}

RIS

TY - JOUR
AU - Adamczyk, Agnieszka K.
AU - Wyczesany, Miroslaw
TI - Cognitive control networks causally support implicit emotion regulation: evidence from dlPFC stimulation and directed functional connectivity
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/06/03
VL - 16
IS - 1
SP - 25123
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-53424-4
UR - https://doi.org/10.1038/s41598-026-53424-4
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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