OSCR

Whisker stimulation reinforces a resting-state network in the barrel cortex: Nested oscillations and avalanches.

Overview

  1. Padova Neuroscience Center, University of Padova, Padova, Italy
  2. Department of Physics and Astronomy, University of Padova, Padova, Italy
  3. Department of Physics, University of Milano Bicocca, Milan, Italy
  4. Department of Biomedical Sciences, University of Padova, Padova, Italy
  5. Department of Neuroscience, University of Padova, Padova, Italy
Institutions: University of Padua (Italy); University of Milano-Bicocca (Italy)
Journal: PLoS computational biology, volume 22, issue 7, article e1014521
Dates: received 24 July 2025; accepted 1 July 2026; published online 24 July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1371/journal.pcbi.1014521 · PMID 42497211 · PMCID PMC13426981 · OpenAlex W4411157643
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: rat (organism), systems (subfield)
Methods: Spectral & time-frequency, Preprocessing, Statistics, Single-unit activity, calcium imaging, Smoothing, state filtering, decompositions, Connectivity, Machine learning
MeSH: Models, Neurological*, Nerve Net*, Somatosensory Cortex*, Vibrissae*, Action Potentials, Animals, Neurons, Physical Stimulation, Rats, Rest, Thalamus (* major topic)
Journal subjects: Biology and Life Sciences, Anatomy, Brain, Thalamus, Medicine and Health Sciences, Animal Anatomy, Vibrissae, Zoology, Animal Physiology, Neuroscience, Cognitive Science, Cognitive Psychology, Perception, Sensory Perception, Psychology, Social Sciences, Anesthesiology, Anesthesia, Pharmaceutics, Drug Therapy, Engineering and Technology, Signal Processing, Signal Filtering, Research and Analysis Methods, Mathematical and Statistical Techniques, Mathematical Models, Animal Studies, Experimental Organism Systems, Model Organisms, Rats, Animal Models, Organisms, Eukaryota, Animals, Vertebrates, Amniotes, Mammals, Rodents, Cell Biology, Cellular Types, Animal Cells, Neurons, Cellular Neuroscience
Topic: Neural dynamics and brain function (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Ministry of University and Research (PE0000006); Istituto Nazionale di Fisica Nucleare (LINCOLN CSN4); University of Padova, Dipartimento di Fisica e Astronomia (PARD 2023)
Citations: not cited yet (Europe PMC); 92 references in the paper

Abstract

The cerebral cortex operates in a state of restless activity, even in the absence of external stimuli. Collective neuronal activities, such as neural avalanches and synchronized oscillations, are also found under rest conditions, and these features have been suggested to support sensory processing, brain readiness for rapid responses, and computational efficiency. The rat barrel cortex and thalamus circuit, with its somatotopic organization for processing sensory inputs from the whiskers, provides a powerful system to explore such interplay. To characterize these resting state circuits, we perform simultaneous multi-electrode recordings in rats’ barrel cortex and thalamus. During spontaneous activity, oscillations with frequencies centered around 11 Hz are detected concomitantly with slow oscillations below 4 Hz, as well as power-law distributed avalanches. The phase of the lower-frequency oscillation appears to modulate the higher-frequency amplitude, and it has a role in gating avalanche occurrences. We then record neural activity during controlled whisker movements and observe that the 11 Hz barrel circuit active at rest is indeed the one involved in response to whisker stimulation. We finally show how a thalamic-driven firing-rate model can describe the entire phenomenology observed at resting state and predict the response of the barrel cortex to controlled whisker movement, suggesting that the same intrinsic dynamics underlying resting-state activity also shape sensory responses.

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

Code

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

benedetta-mariani

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: the link answers
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 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)

The paper's code and data availability statement is in the Data section.

Tracing map

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  • 1 repository 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;
  • 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

All data and custom analysis code supporting the findings of this study will be made publicly available on GitHub prior to publication at: https://github.com/benedetta-mariani.

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 2, 28 September 2026

  • Authors: added Ramón Guevara (0000-0002-9292-8046); Mattia Tambaro (0000-0002-7593-5084); Alessandro Leparulo (0000-0002-9110-1055); Stefano Vassanelli (0000-0003-0389-8023); removed Ramón Guevara; Mattia Tambaro; Alessandro Leparulo; Stefano Vassanelli

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 11 MeSH terms, 3 funders, 83 references.

Cite

This paper

Mariani, B., Guevara, R., Tambaro, M., Maschietto, M., Leparulo, A., Vassanelli, S., & Suweis, S. (2026). Whisker stimulation reinforces a resting-state network in the barrel cortex: Nested oscillations and avalanches. PLoS computational biology, 22(7), e1014521. https://doi.org/10.1371/journal.pcbi.1014521

BibTeX

@article{mariani2026whisker,
author = {Mariani, Benedetta and Guevara, Ramón and Tambaro, Mattia and Maschietto, Marta and Leparulo, Alessandro and Vassanelli, Stefano and Suweis, Samir},
title = {{Whisker stimulation reinforces a resting-state network in the barrel cortex: Nested oscillations and avalanches}},
journal = {PLoS computational biology},
year = {2026},
month = jul,
volume = {22},
number = {7},
pages = {e1014521},
publisher = {PLOS},
issn = {1553-734X},
doi = {10.1371/journal.pcbi.1014521},
url = {https://doi.org/10.1371/journal.pcbi.1014521},
pmid = {42497211},
pmcid = {PMC13426981}
}

RIS

TY - JOUR
AU - Mariani, Benedetta
AU - Guevara, Ramón
AU - Tambaro, Mattia
AU - Maschietto, Marta
AU - Leparulo, Alessandro
AU - Vassanelli, Stefano
AU - Suweis, Samir
TI - Whisker stimulation reinforces a resting-state network in the barrel cortex: Nested oscillations and avalanches
T2 - PLoS computational biology
J2 - PLoS Comput Biol
PY - 2026
DA - 2026/07/24
VL - 22
IS - 7
SP - e1014521
SN - 1553-734X
PB - PLOS
DO - 10.1371/journal.pcbi.1014521
UR - https://doi.org/10.1371/journal.pcbi.1014521
LA - en
ER -

CSL-JSON

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