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Oxytocin selectively biases sensory-prefrontal communication through network-level suppression and theta coupling.

Code ↔ Paper

5 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 5 matches · 2 of them tie a paragraph to a whole file, not to given lines: weak matches, whose lines are not tinted
  1. [1] § Materials and Methods › LFP Acquisition and Analysis. › Preprocessing and spectral analysis. ↔ Supple_Figure3.m, the whole file · a weak match · score 0.87 · 35–50 Hz, 18–24 Hz, 24–32 Hz, 70–90 Hz, 8–12 Hz, 4–8 Hz
  2. [2] § Materials and Methods › LFP Acquisition and Analysis. › Preprocessing and spectral analysis. ↔ Figure2.m, lines 10–32 · score 0.86 · 35–50 Hz, 18–24 Hz, 24–32 Hz, 70–90 Hz, 8–12 Hz, 4–8 Hz
  3. [3] § Results › Oxytocin Enhances Auditory-Evoked Responses on a Background of Reduced Baseline Activity. ↔ Figure1.m, lines 378–486 · score 0.58 · Wilcoxon rank sum, Pre stim, baseline, windows, Horizontal, square
  4. [4] § Materials and Methods › LFP Acquisition and Analysis. › Network connectivity and directionality analysis. ↔ Supple_Figure4.m, lines 334–406 · score 0.53 · 5–20 min, 5 min
  5. [5] § Materials and Methods › LFP Acquisition and Analysis. › Network connectivity and directionality analysis. ↔ Supple_Figure3.m, the whole file · a weak match · score 0.51 · post injection, frequency band, channel, mPFC, GC, 20 min

Paper

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

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The authors' code

MATLAB · 149 lines · 5.9 KB · no license · 2 matches

The registry keeps no copy of this file: its repository has no license, so its authors keep all their rights to it. Your browser shows it from its source, with JavaScript.

It can be read at the source: Supple_Figure3.m.

Overview

Authors: DaYoung Jung1,2,3, Hio-Been Han4, Jungyoung Kim1,5, Ji Hyung Kim2, Robert C Froemke3,6, Jee Hyun Choi1,7
ORCID iDs: DaYoung Jung, Hio-Been Han, Jungyoung Kim, Ji Hyung Kim, Robert C Froemke, Jee Hyun Choi
  1. Computational Cognitive & Systems Neuroscience Laboratory, Brain Science Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
  2. Department of Biotechnology, Korea University, Seoul 02841, Republic of Korea
  3. Department of Neuroscience, New York University, Grossman School of Medicine, New York University, New York, NY 10016
  4. School of Convergence, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea
  5. Department of Bio and Brain Engineering Program, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
  6. Department of Otolaryngology–Head and Neck Surgery, New York University Grossman School of Medicine, Neuroscience Institute, New York University, New York, NY 10016
  7. Division of Artificial Intelligence and Robotics, University of Science and Technology, Daejeon 34113, Republic of Korea
Institutions: Korea University (South Korea); Korea University (Japan); New York University (United States); Korea Institute of Science and Technology (South Korea); Seoul National University of Science and Technology (South Korea); Korea Advanced Institute of Science and Technology (South Korea); Korea University of Science and Technology (South Korea)
Journal: Proceedings of the National Academy of Sciences of the United States of America, volume 123, issue 24, article e2603966123
Dates: received 3 February 2026; accepted 7 May 2026; published online 9 June 2026; in print 16 June 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1073/pnas.2603966123 · PMID 42263121 · PMCID PMC13273337 · OpenAlex W7164029112
Open access: hybrid, a free copy (OpenAlex)
Status: code verified
Categories: extracellular electrophysiology (units, LFP) (modality), human (organism), mouse (organism), systems (subfield)
Methods: Spectral & time-frequency, Preprocessing, Smoothing, state filtering, decompositions, Machine learning, Connectivity, Statistics
Keywords: oxytocin, neural oscillations, network dynamics, local field potentials
MeSH: Auditory Cortex*, Oxytocin*, Prefrontal Cortex*, Theta Rhythm*, Animals, Female, Local Field Potential Measurement, Male, Mice, Mice, Inbred C57BL, Nerve Net (* major topic)
Topic: Neuroendocrine regulation and behavior (Social Psychology, Psychology), according to OpenAlex
Funding: Human Frontier Science Program (RGP006/2025); National Research Foundation of Korea (RS-2022-NR070539, RS-2024-00460958); Korea Institute of Science and Technology (2E32901); Seoul National University of Science and Technology (RS2025)
Citations: not cited yet (Europe PMC); 86 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 5 matches between paragraphs and lines of code.

jeelabKIST/Oxytocin-LFP

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 29001f394a4e32196283dedbaed55c4730e28a43, 21 April 2026
Languages: MATLAB (9)
Size: 10 files, 9 scripts
Software Heritage: not archived
Found in: the references
Holds: README
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: Statistics and Machine Learning Toolbox (9 files), Image Processing Toolbox (3 files), shadedErrorBar (2 files), Signal Processing Toolbox (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
10 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 29001f3, when its fingerprint is the one OSCR verified. How this works.

At the source: github.com/jeelabKIST/Oxytocin-LFP

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;
  • 9 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);
  • 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

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:

  • no repository, dataset or request procedure was recognized in it

Read it in the paper: doi.org/10.1073/pnas.2603966123.

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 4 keywords, 11 MeSH terms, 4 funders, 84 references.

Cite

This paper

Jung, D., Han, H.-B., Kim, J., Kim, J. H., Froemke, R. C., & Choi, J. H. (2026). Oxytocin selectively biases sensory-prefrontal communication through network-level suppression and theta coupling. Proceedings of the National Academy of Sciences of the United States of America, 123(24), e2603966123. https://doi.org/10.1073/pnas.2603966123

BibTeX

@article{jung2026oxytocin,
author = {Jung, DaYoung and Han, Hio-Been and Kim, Jungyoung and Kim, Ji Hyung and Froemke, Robert C and Choi, Jee Hyun},
title = {{Oxytocin selectively biases sensory-prefrontal communication through network-level suppression and theta coupling}},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
year = {2026},
month = jun,
volume = {123},
number = {24},
pages = {e2603966123},
publisher = {National Academy of Sciences},
issn = {0027-8424},
doi = {10.1073/pnas.2603966123},
url = {https://doi.org/10.1073/pnas.2603966123},
pmid = {42263121},
pmcid = {PMC13273337}
}

RIS

TY - JOUR
AU - Jung, DaYoung
AU - Han, Hio-Been
AU - Kim, Jungyoung
AU - Kim, Ji Hyung
AU - Froemke, Robert C
AU - Choi, Jee Hyun
TI - Oxytocin selectively biases sensory-prefrontal communication through network-level suppression and theta coupling
T2 - Proceedings of the National Academy of Sciences of the United States of America
J2 - Proc Natl Acad Sci U S A
PY - 2026
DA - 2026/06/09
VL - 123
IS - 24
SP - e2603966123
SN - 0027-8424
PB - National Academy of Sciences
DO - 10.1073/pnas.2603966123
UR - https://doi.org/10.1073/pnas.2603966123
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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