OSCR

UltraFast Layer-Resolved Encoding (uFLARE) functional MRI deciphers bidirectional signaling from spontaneous activity.

Overview

Authors: Joana Carvalho1,2, Francisca F Fernandes1, Mafalda Valente1, Koen V Haak3,4, Noam Shemesh1,5
ORCID iDs: Joana Carvalho, Francisca F Fernandes, Mafalda Valente, Koen V Haak, Noam Shemesh
  1. Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
  2. Visual Neuroscience Laboratory, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal
  3. Department of Intelligent Systems, Research Center for Cognitive Science and Artificial Intelligence, Tilburg School of Humanities and Digital Sciences, Tilburg University, Tilburg, The Netherlands
  4. Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands
  5. Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel
Institutions: Champalimaud Foundation (Portugal); University of Coimbra (Portugal); Radboud University Nijmegen (Netherlands); Tilburg University (Netherlands); Donders Centre for Cognitive Neuroimaging (Netherlands); Donders Institute for Brain, Cognition and Behaviour (Netherlands); Weizmann Institute of Science (Israel)
Journal: Nature communications, volume 17, issue 1, article 3823
Dates: received 23 March 2025; accepted 17 March 2026; published online 4 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41467-026-71506-9 · PMID 42082454 · PMCID PMC13139444 · OpenAlex W7160155115
Open access: gold, a free copy (OpenAlex)
Status: code found, not verified yet
Categories: fMRI (modality), human (organism)
Methods: Spectral & time-frequency, Statistics, Preprocessing, fMRI & imaging, Physiology & signal measures, Connectivity
Keywords: Functional magnetic resonance imaging, Network models, Magnetic resonance imaging, Pattern vision
MeSH: Brain*, Magnetic Resonance Imaging*, Nerve Net*, Animals, Brain Mapping, Humans, Models, Neurological, Neuronal Plasticity (* major topic)
Topic: Advanced NMR Techniques and Applications (Spectroscopy, Chemistry), according to OpenAlex
Funding: European Research Council (679058)
Citations: not cited yet (Europe PMC); 104 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.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

codeocean:0722166

License: none: the authors keep all their rights
State: cannot be verified, verified on 28 September 2026
Evidence: found in the paper
Software Heritage: not checked
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: cannot be verified
  • 28 September 2026: cannot be verified
At the source: codeocean.com/capsule/0722166/tree/v1

codeocean:4680084

License: none: the authors keep all their rights
State: cannot be verified, verified on 28 September 2026
Evidence: found in the paper
Software Heritage: not checked
Found in: “Code availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: cannot be verified
  • 28 September 2026: cannot be verified
At the source:

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:

Read it in the paper: doi.org/10.1038/s41467-026-71506-9.

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:

  • 2 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
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Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

Datasets cited

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:

Read it in the paper: doi.org/10.1038/s41467-026-71506-9.

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, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 4 keywords, 8 MeSH terms, 1 funder, 102 references.

Cite

This paper

Carvalho, J., Fernandes, F. F., Valente, M., Haak, K. V., & Shemesh, N. (2026). UltraFast Layer-Resolved Encoding (uFLARE) functional MRI deciphers bidirectional signaling from spontaneous activity. Nature communications, 17(1), 3823. https://doi.org/10.1038/s41467-026-71506-9

BibTeX

@article{carvalho2026ultrafast,
author = {Carvalho, Joana and Fernandes, Francisca F and Valente, Mafalda and Haak, Koen V and Shemesh, Noam},
title = {{UltraFast Layer-Resolved Encoding (uFLARE) functional MRI deciphers bidirectional signaling from spontaneous activity}},
journal = {Nature communications},
year = {2026},
month = may,
volume = {17},
number = {1},
pages = {3823},
publisher = {Nature Publishing Group},
issn = {2041-1723},
doi = {10.1038/s41467-026-71506-9},
url = {https://doi.org/10.1038/s41467-026-71506-9},
pmid = {42082454},
pmcid = {PMC13139444}
}

RIS

TY - JOUR
AU - Carvalho, Joana
AU - Fernandes, Francisca F
AU - Valente, Mafalda
AU - Haak, Koen V
AU - Shemesh, Noam
TI - UltraFast Layer-Resolved Encoding (uFLARE) functional MRI deciphers bidirectional signaling from spontaneous activity
T2 - Nature communications
J2 - Nat Commun
PY - 2026
DA - 2026/05/04
VL - 17
IS - 1
SP - 3823
SN - 2041-1723
PB - Nature Publishing Group
DO - 10.1038/s41467-026-71506-9
UR - https://doi.org/10.1038/s41467-026-71506-9
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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