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A Brain-Wide Atlas of Astrocytic Oxytocin Receptors Reveals a Glial Basis for Nucleus Accumbens Modulation of Affiliative Behavior.

Code ↔ Paper

3 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 3 matches · 1 of them tie a paragraph to a whole file, not to given lines: a weak match, whose lines are not tinted
  1. [1] § Methods › Statistical Analysis ↔ ToolKit/IntraGrpStat.py, lines 14–120 · score 0.73 · Mann Whitney, way ANOVA, equality, variance, Levene, Shapiro
  2. [2] § Methods › Statistical Analysis ↔ ToolKit/IntraGrpStat_v2_df.py, the whole file · a weak match · score 0.73 · Mann Whitney, way ANOVA, equality, variance, Levene, Shapiro
  3. [3] § Methods › Ex Vivo Calcium Imaging › Data Analysis ↔ ToolKit/Analysor.py, lines 129–221 · score 0.60 · full width, fitted, HMFW, peaks, rise, decay

Paper

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

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The authors' code

Python · 120 lines · 4.6 KB · no license · 1 match

  1. # -*- coding: utf-8 -*-
  2. """
  3. Created on Fri Feb 5 13:05:09 2021
  5. @author: Angel.BAUDON
  8. To do on this code :
  9. - WARNING ! Every pval are corrected with yhe bonferoni method wich is the most conservative !
  10. - QQ plots (& unbiased methods to estimate the fit ?)
  11. - Test sphericity ?
  13. """
  14. def IntraGrpStat(groups, Paired=False):
  16. import scipy, numpy as np, pandas as pd
  17. from statsmodels.stats.anova import AnovaRM
  18. from scikit_posthocs import posthoc_dunn, posthoc_conover, posthoc_tukey
  19. from statsmodels.stats.multicomp import pairwise_tukeyhsd
  21. group_name = [f'Time {x}' for x,y in enumerate(groups)]
  22. n_cell, norm = len(groups[0]), []
  25. ''' Test the criteria for parametric tests '''
  26. rest1 = [[x-np.nanmean(group) for x in group] for group in groups]
  27. rest2 = [x for y in rest1 for x in y]
  30. #Normality
  31. S, p_val_s = scipy.stats.shapiro(rest2)
  32. norm.append(False) if p_val_s < 0.05 else norm.append(True)
  34. #Equality of variances
  35. L, p_val_l = scipy.stats.levene(*rest1)
  36. norm.append(False) if p_val_l < 0.05 else norm.append(True)
  40. ''' Decision tree '''
  41. #T-test familly
  42. if len(groups) == 2:
  43. #Parametric test
  44. if not False in norm:
  45. if Paired:
  46. stat, pval = scipy.stats.ttest_rel(*groups)
  47. test = 'Paired t-Test'
  48. else:
  49. stat, pval = scipy.stats.ttest_ind(*groups)
  50. test = 'Unpaired t-Test'
  53. #Non parametric test
  54. if False in norm:
  55. if Paired:
  56. stat, pval = scipy.stats.wilcoxon(*groups)
  57. test = 'Wilcoxon'
  58. else:
  59. stat, pval = scipy.stats.mannwhitneyu(*groups)
  60. test = 'Mann-Whitney'
  63. #Anova familly
  64. elif len(groups) > 2:
  65. #Reorganize the data
  66. df = pd.DataFrame({'Cell': [x for x in range(n_cell)]*len(groups),
  67. 'Values': [x for y in groups for x in y],
  68. 'Time': np.repeat(group_name, repeats=n_cell)})
  69. comp1, comp2 = [*[group_name[0]]*2, group_name[1]], [group_name[1], *[group_name[2]]*2]
  71. if not Paired:
  72. if not False in norm:
  73. stat, pval = scipy.stats.f_oneway(*groups)
  74. ph = posthoc_tukey(df, val_col='Values', group_col='Time')
  76. ph_out = {'Test': 'One-Way ANOVA & Tukey'}
  77. for x, y in zip(comp1, comp2):
  78. ph_out[f'{x} vs {y}'] = float(ph.loc[x, y])
  80. else:
  81. stat, pval = scipy.stats.kruskal(*groups)
  82. ph = posthoc_dunn(groups, p_adjust = 'bonferroni')
  84. ph_out = {'Test': "Kruskal-Wallis & Dunn's MC"}
  85. for x, y, c1, c2 in zip([1,1,2], [2,3,3], comp1, comp2):
  86. ph_out[f'{c1} vs {c2}'] = float(ph.loc[x, y])
  91. elif Paired:
  92. if not False in norm:
  93. aovrm = AnovaRM(df, depvar='Values', subject='Cell', within=['Time'])
  94. res = aovrm.fit().summary().tables[0]
  95. stat, pval = float(res['F Value']), float(res['Pr > F'])
  97. # ph = pairwise_ttests(data=df, dv='Values', within='Time',
  98. # subject='Cell', padjust='bonf')
  100. ph = pairwise_tukeyhsd(df['Values'], df['Time'])
  102. ph = pd.DataFrame(data=ph._results_table.data[1:],
  103. columns=ph._results_table.data[0])
  104. ph_out = {'Test': 'RM ANOVA & paired Tukey'}
  105. for x, y, z in zip(*[list(ph[x]) for x in ['group1', 'group2', 'p-adj']]):
  106. ph_out[f'{x} vs {y}'] = z
  109. else:
  110. stat, pval = scipy.stats.friedmanchisquare(*groups)
  111. ph = posthoc_conover(groups, p_adjust = 'bonferroni')
  113. ph_out = {'Test': 'Friedman & Wilcoxon with Bonferoni correction'}
  114. for x, y, c1, c2 in zip([1,1,2], [2,3,3], comp1, comp2):
  115. ph_out[f'{c1} vs {c2}'] = float(ph.loc[x, y])
  117. print('Hé toi ! \n Oui ? \n Arrete de cacher les étoiles par ton incommensurable bôté plz \n Ha ok deso \n Angel arrete d importuner les gens',
  118. stat, pval, test, '\n\n')
  119. try: return(round(stat, 4), round(pval, 4), ph_out)
  120. except NameError: return(round(stat, 4), round(pval, 4), test)

IntraGrpStat.py at commit c678dc2, no license · at the source

Overview

Authors: Clémence Denis1, Stefan Stojilkovic2, Kai‐Yi Wang1, Cristina Márquez3,4, Annabel C Kleinwächter2, Angel Baudon1, Yuval Podpecan2, Aurélia Ces1, Mélanie Kremer1, Isabelle Arnoux5, Nathalie Rouach5, Jemima Helen2, Sophie Trender2, Andreas Wallkum2, Selina Wunsch2, Franziska Schommer2, Moritz C Wimmer2, Tim Schubert2, Felix Franke2, Jabir Aliyu Muhammad2
and 13 other authorsEva M Eisemann2, Ingrid Camila Possa‐Paranhos2, Cassandra Baumann1, Pierre‐Alexis Derrien1, Quirin Krabichler6, Cosmo Garcia7, Henning Fröhlich2, Matthew K Kirchner7, Valery Grinevich6,8, Pascal Darbon1, Javier E Stern7, Ferdinand Althammer2, Alexandre Charlet1
ORCID iDs: Clémence Denis, Cristina Márquez, Isabelle Arnoux, Franziska Schommer, Ferdinand Althammer, Alexandre Charlet
  1. Centre National de La Recherche Scientifique and University of Strasbourg, Institute of Cellular and Integrative Neuroscience, Strasbourg, France
  2. Institute of Human Genetics, Heidelberg University, Heidelberg, Germany
  3. Center For Neuroscience and Cell Biology CNC‐UC, University of Coimbra, Coimbra, Portugal
  4. Centre For Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
  5. Center for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, PSL‐Neuro, Université PSL, Paris, France
  6. Department of Neuropeptide Research in Psychiatry, Central Institute of Mental Health, German Center for Psychiatry, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
  7. Center For Neuroinflammation and Cardiometabolic Diseases, and Neuroscience Institute, Georgia State University, Atlanta, Georgia, USA
  8. International Joint Laboratory for Translational Research on Neuromodulation, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Institutions: Centre National de la Recherche Scientifique (France); Institut des Neurosciences Cellulaires et Intégratives (France); Université de Strasbourg (France); Heidelberg University (Germany); Centro de Neurociências e Biologia Celular (Portugal); Centro de Inovação em Biomedicina e Biotecnologia (Portugal); University of Coimbra (Portugal); Inserm (France); Collège de France (France); Université Paris Sciences et Lettres (France); Centre Interdisciplinaire de Recherche en Biologie (France); Central Institute of Mental Health (Germany); Medizinische Fakultät Mannheim; Georgia State University (United States); Chinese Academy of Sciences (China); Shenzhen Institutes of Advanced Technology (China)
Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany), volume 13, issue 46, article e18450
Dates: received 19 September 2025; accepted 18 May 2026; published online 4 June 2026; in print August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1002/advs.202518450 · PMID 42237738 · PMCID PMC13336011 · OpenAlex W7163522556
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: mouse (organism), rat (organism), cellular / molecular (subfield)
Methods: Statistics, Evoked potentials, fMRI & imaging, Single-unit activity, calcium imaging
Keywords: astrocyte, atlas, behavior, nucleus accumbens, oxytocin
MeSH: Astrocytes*, Behavior, Animal*, Nucleus Accumbens*, Receptors, Oxytocin*, Social Behavior*, Animals, Brain, Male, Mesolimbic System, Mice, Oxytocin, Rats (* major topic)
Topic: Neuroendocrine regulation and behavior (Social Psychology, Psychology), according to OpenAlex
Funding: DFG Emmy Noether Funding AL (2466/2-1 to FA); Université de Strasbourg (UPR3212); Agence Nationale de la Recherche (ANR, French Research Foundation) (20-CE18-0031, 23-CE37-0015-01); CNRS International Research Project (ICOT2023); NeuroStra Interdisciplinary Thematic Institute (ITI 2021-2028); FRM Fellowship (FDT202204015114); Centre National de la Recherche Scientifique (UPR3212); Graduate School of Pain EURIDOL (ANR-17-EURE-0022); FRM Equipe (EQU202403018071)
Citations: cited by 1 paper (Europe PMC); 51 references in the paper

Abstract

Until recently, it was widely assumed that oxytocin signaling occurred exclusively through the activation of neuronal oxytocin receptors, with neurons being the primary targets of released oxytocin. However, this view was challenged by the discovery of functional oxytocin receptors in central amygdala astrocytes, which are essential for the proper function of local neuronal microcircuits. Since then, astrocytic oxytocin receptors have been implicated in various aspects of rodent physiology and behavior, yet it remains unclear whether this mechanism is region‐specific or widespread across the brain. Here, we provide extensive anatomical data on oxytocin receptor expression in mice and rats, functionally validated through calcium imaging. Based on this mapping and using genetic, calcium imaging and behavioral approaches, we further demonstrate a critical role for oxytocin receptor‐expressing astrocytes in the nucleus accumbens in social behavior. In summary, our findings demonstrate that oxytocin receptors are widely expressed in astrocytes across different brain regions. In the nucleus accumbens, these receptors modulate social behavior—an observation with significant implications for the current model of oxytocinergic modulation in the brain.

Reproduced under the paper's license (CC BY), from the paper cited above.

Repository

Its files are read in the Code ↔ Paper reader above, with 3 matches between paragraphs and lines of code.

Team-Charlet/Denis_et_al._2026

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: c678dc25d20f96099d68dd84a967b6efa4ec896b, 21 May 2026
Languages: Python (22)
Size: 30 files, 22 scripts
Software Heritage: not archived
Found in: “Data Availability Statement”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: NumPy (20 files), pandas (19 files), Matplotlib (18 files), SciPy (14 files), seaborn (10 files), statsmodels (3 files), scikit-posthocs (2 files), Pingouin (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
22 files
At the source: github.com/Team-Charlet/Denis_et_al._2026

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;
  • 22 scripts, each with its path and the digest of its content;
  • 3 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

Data Availability Statement

The raw data generated in this study are available at public database under accession code (https://zenodo.org/records/20328439). Codes used for data analysis are available under accession code https://github.com/Team‐Charlet/Denis_et_al._2026 (https://github.com/Team-Charlet/Denis_et_al._2026). Statistical data are provided in the Statistic Tables 1‐6. In addition, all data that support the findings of this study are available from the corresponding authors upon request. Source data are provided with this paper.

Reproduced under the paper's license (CC BY), from the paper cited above.

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, 33 authors, 5 keywords, 12 MeSH terms, 9 funders, 50 references.

Cite

This paper

Denis, C., Stojilkovic, S., Wang, K., Márquez, C., Kleinwächter, A. C., Baudon, A., Podpecan, Y., Ces, A., Kremer, M., Arnoux, I., Rouach, N., Helen, J., Trender, S., Wallkum, A., Wunsch, S., Schommer, F., Wimmer, M. C., Schubert, T., Franke, F., . . . Charlet, A. (2026). A Brain-Wide Atlas of Astrocytic Oxytocin Receptors Reveals a Glial Basis for Nucleus Accumbens Modulation of Affiliative Behavior. Advanced science (Weinheim, Baden-Wurttemberg, Germany), 13(46), e18450. https://doi.org/10.1002/advs.202518450

BibTeX

@article{denis2026brain,
author = {Denis, Clémence and Stojilkovic, Stefan and Wang, Kai‐Yi and Márquez, Cristina and Kleinwächter, Annabel C and Baudon, Angel and Podpecan, Yuval and Ces, Aurélia and Kremer, Mélanie and Arnoux, Isabelle and Rouach, Nathalie and Helen, Jemima and Trender, Sophie and Wallkum, Andreas and Wunsch, Selina and Schommer, Franziska and Wimmer, Moritz C and Schubert, Tim and Franke, Felix and Muhammad, Jabir Aliyu and Eisemann, Eva M and Possa‐Paranhos, Ingrid Camila and Baumann, Cassandra and Derrien, Pierre‐Alexis and Krabichler, Quirin and Garcia, Cosmo and Fröhlich, Henning and Kirchner, Matthew K and Grinevich, Valery and Darbon, Pascal and Stern, Javier E and Althammer, Ferdinand and Charlet, Alexandre},
title = {{A Brain-Wide Atlas of Astrocytic Oxytocin Receptors Reveals a Glial Basis for Nucleus Accumbens Modulation of Affiliative Behavior}},
journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
year = {2026},
month = jun,
volume = {13},
number = {46},
pages = {e18450},
publisher = {Wiley},
issn = {2198-3844},
doi = {10.1002/advs.202518450},
url = {https://doi.org/10.1002/advs.202518450},
pmid = {42237738},
pmcid = {PMC13336011}
}

RIS

TY - JOUR
AU - Denis, Clémence
AU - Stojilkovic, Stefan
AU - Wang, Kai‐Yi
AU - Márquez, Cristina
AU - Kleinwächter, Annabel C
AU - Baudon, Angel
AU - Podpecan, Yuval
AU - Ces, Aurélia
AU - Kremer, Mélanie
AU - Arnoux, Isabelle
AU - Rouach, Nathalie
AU - Helen, Jemima
AU - Trender, Sophie
AU - Wallkum, Andreas
AU - Wunsch, Selina
AU - Schommer, Franziska
AU - Wimmer, Moritz C
AU - Schubert, Tim
AU - Franke, Felix
AU - Muhammad, Jabir Aliyu
AU - Eisemann, Eva M
AU - Possa‐Paranhos, Ingrid Camila
AU - Baumann, Cassandra
AU - Derrien, Pierre‐Alexis
AU - Krabichler, Quirin
AU - Garcia, Cosmo
AU - Fröhlich, Henning
AU - Kirchner, Matthew K
AU - Grinevich, Valery
AU - Darbon, Pascal
AU - Stern, Javier E
AU - Althammer, Ferdinand
AU - Charlet, Alexandre
TI - A Brain-Wide Atlas of Astrocytic Oxytocin Receptors Reveals a Glial Basis for Nucleus Accumbens Modulation of Affiliative Behavior
T2 - Advanced science (Weinheim, Baden-Wurttemberg, Germany)
J2 - Adv Sci (Weinh)
PY - 2026
DA - 2026/06/04
VL - 13
IS - 46
SP - e18450
SN - 2198-3844
PB - Wiley
DO - 10.1002/advs.202518450
UR - https://doi.org/10.1002/advs.202518450
LA - en
ER -

CSL-JSON

{
"id": "10.1002/advs.202518450",
"type": "article-journal",
"title": "A Brain-Wide Atlas of Astrocytic Oxytocin Receptors Reveals a Glial Basis for Nucleus Accumbens Modulation of Affiliative Behavior",
"container-title": "Advanced science (Weinheim, Baden-Wurttemberg, Germany)",
"author": [
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