OSCR

Respiration as a dynamic modulator of sensory sampling.

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
  1. [1] § Methods › Respiration preprocessing and phase extraction ↔ Code/fig1d.m, lines 13–64 · score 0.65 · peak prominence, breathing rates, findpeaks, troughs, respiration
  2. [2] § Methods › MEG preprocessing and segmentation ↔ Code/fig1d.m, lines 66–156 · score 0.65 · ft_preprocessing, outliers, eye, segmented, artefacts, channels
  3. [3] § Results › Distinct oscillatory signatures of behaviourally relevant stimulus characteristics ↔ Code/fig2.m, lines 454–552 · score 0.56 · Individual alpha power, posterior alpha, BF10, Violin, uncued, Figure 2
  4. [4] § Methods › Respiration phase-dependent fitting of the psychometric function ↔ Code/fig1bc.m, lines 267–349 · score 0.56 · cumulative Gaussian, Psignifit, sigmoid, fitted, refitting, threshold
  5. [5] § Results › Respiration-driven spectral changes within the RMBO network mediate perception ↔ Code/fig3bcd.m, lines 100–205 · score 0.54 · 1–40 Hz, power spectra, respiration phase, FDR, ROIs, onset

Paper

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

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The authors' code

MATLAB · 166 lines · 5.6 KB · no license · 2 matches

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It can be read at the source: Code/fig1d.m.

Overview

Authors: Nikos Chalas1,2, Martina Saltafossi1,2, Teresa Berther1,2, Elio Balestrieri1,2, Omid Abbasi1,2, Daniel S. Kluger1,2
ORCID iDs: Daniel S. Kluger
  1. Institute for Biomagnetism and Biosignal Analysis, University of Münster,Münster, Germany
  2. Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster,Münster, Germany
Institutions: University of Münster (Germany)
Journal: Nature communications, volume 17, issue 1, article 3261
Dates: received 28 July 2025; accepted 23 March 2026; published online 7 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41467-026-71604-8 · PMID 41946728 · PMCID PMC13062087 · OpenAlex W4411754679
Open access: gold, a free copy (OpenAlex)
Preprint: doi:10.1101/2025.06.26.661828
Status: code verified
Categories: MEG (modality), human (organism), cognitive (subfield)
Methods: Spectral & time-frequency, Connectivity, Statistics, Smoothing, state filtering, decompositions, Preprocessing, fMRI & imaging, Physiology & signal measures
Keywords: Sensory processing, Perception
MeSH: Brain*, Respiration*, Adult, Arousal, Female, Humans, Magnetoencephalography, Male, Photic Stimulation, Pupil, Visual Perception, Young Adult (* major topic)
Topic: Advanced Chemical Sensor Technologies (Biomedical Engineering, Engineering), according to OpenAlex
Funding: H2020 European Research Council (101162169); Innovative Medical Research - Grant ID KL 1 2 22 01 IZKF - Grant ID Klu3/002/26; Deutsche Forschungsgemeinschaft (491157081)
Citations: cited by 3 papers (Europe PMC); 70 references in the paper

Abstract

Respiration dynamically modulates sensory perception by orchestrating transient states of the brain and the body. Using simultaneous recordings of high-density magneto- encephalography (MEG), respiration, and pupillometry, we show that human perceptual sensitivity to near-threshold visual stimuli was enhanced during inspiration, coinciding with respiration-modulated increases in arousal neuromodulation and cortical excitability. Participants adapted their breathing patterns to align with predictable stimulus onset, and this adaptive respiratory alignment correlated with improved performance. We further reveal that respiration-modulated changes in alpha and beta oscillations reflect distinct shifts in sensory and motor excitability, respectively. Crucially, respiration-resolved multivariate Granger causality analyses demonstrate that the breathing rhythm systematically shapes directed information flow within a widespread interoceptive network. This respiration-brain coupling was flexibly adjusted based on stimulus predictability, highlighting a mechanism for active sensing which integrates internal bodily rhythms with external sensory demands to optimise perception.

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 5 matches between paragraphs and lines of code.

OSF qasvp

License: none: the authors keep all their rights
State: the link answers, verified on 29 September 2026
Evidence: files inventoried
Languages: MATLAB (8)
Size: 30 files, 8 scripts
Software Heritage: not checked
Found in: “Code availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: FieldTrip (7 files), Statistics and Machine Learning Toolbox (4 files), CircStat (3 files), fdr_bh (Benjamini-Hochberg FDR) (1 file), Signal Processing Toolbox (1 file), psignifit (1 file), Violinplot-Matlab (1 file)
Availability: 1 check, the latest on 29 September 2026: the link answers (HTTP 200)
  • 29 September 2026: the link answers (HTTP 200)
8 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/qasvp

Code availability

Software code is publicly available via osf.io/qasvp and included in the source data folders provided with this paper.

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

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;
  • 8 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

No dataset and no data link were found in the paper.

Data availability

Raw data are protected by data privacy laws and can be made available by means of a formal data sharing agreement. The processed and anonymised data MEG, physiological, and behavioural data are publicly available at the Open Science Framework (OSF) via osf.io/qasvp. 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, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 2 keywords, 12 MeSH terms, 3 funders, 70 references.

Cite

This paper

Chalas, N., Saltafossi, M., Berther, T., Balestrieri, E., Abbasi, O., & Kluger, D. S. (2026). Respiration as a dynamic modulator of sensory sampling. Nature communications, 17(1), 3261. https://doi.org/10.1038/s41467-026-71604-8

BibTeX

@article{chalas2026respiration,
author = {Chalas, Nikos and Saltafossi, Martina and Berther, Teresa and Balestrieri, Elio and Abbasi, Omid and Kluger, Daniel S.},
title = {{Respiration as a dynamic modulator of sensory sampling}},
journal = {Nature communications},
year = {2026},
month = apr,
volume = {17},
number = {1},
pages = {3261},
publisher = {Nature Publishing Group},
issn = {2041-1723},
doi = {10.1038/s41467-026-71604-8},
url = {https://doi.org/10.1038/s41467-026-71604-8},
pmid = {41946728},
pmcid = {PMC13062087}
}

RIS

TY - JOUR
AU - Chalas, Nikos
AU - Saltafossi, Martina
AU - Berther, Teresa
AU - Balestrieri, Elio
AU - Abbasi, Omid
AU - Kluger, Daniel S.
TI - Respiration as a dynamic modulator of sensory sampling
T2 - Nature communications
J2 - Nat Commun
PY - 2026
DA - 2026/04/07
VL - 17
IS - 1
SP - 3261
SN - 2041-1723
PB - Nature Publishing Group
DO - 10.1038/s41467-026-71604-8
UR - https://doi.org/10.1038/s41467-026-71604-8
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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