OSCR

Ultraslow brain dynamics as neurophysiological markers of information sampling during learning.

Overview

Authors: Patricia León-Cabrera1,2, Anna Prunell-Castañé3, Thomas F Münte4, Shunkai Wang1,2, Antoni Rodríguez-Fornells1,2,5,6
  1. Department of Cognition, Development and Educational Psychology, University of Barcelona, Barcelona, Spain
  2. Cognition and Brain Plasticity Unit, Institute of Neuroscience, University of Barcelona and Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
  3. Catalan Institute of Oncology, Doctor Josep Trueta University Hospital, Girona, Spain
  4. Centre for Brain Behavior and Metabolism and Department of Neurology, University of Lübeck, Lübeck, Germany
  5. Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
  6. Aix-Marseille University, Iméra, 13000 Marseille, France
Journal: iScience, volume 29, issue 9, article 117159
Dates: received 16 September 2025; accepted 27 July 2026; published online 22 August 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.isci.2026.117159 · PMID 42668668 · PMCID PMC13524776 · OpenAlex W7203983008
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: EEG (modality), human (organism), cognitive (subfield)
Methods: Spectral & time-frequency, Preprocessing, Statistics, Smoothing, state filtering, decompositions, Evoked potentials, Connectivity, Physiology & signal measures
Keywords: information sampling, contextual word learning, ultraslow event-related potentials, N400
Topic: Memory Processes and Influences (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Centres de Recerca de Catalunya; Generalitat de Catalunya; Gobierno de España Ministerio de Ciencia e Innovación (PID2021-127130NB-I00); Gobierno de España Ministerio de Universidades; Agencia Estatal de Investigación; European Commission Marie Sklodowska-Curie Actions; Ministerio de Ciencia e Innovación
Citations: not cited yet (Europe PMC); 65 references in the paper
Research resources: MATLAB R2019b RRID:SCR_001622, R version 4.5.2. RRID:SCR_001905, EEGLAB v14.1.2. RRID:SCR_007292, Python v3.1.3. RRID:SCR_008394, ERPLAB toolbox v7.0.0. RRID:SCR_009574, G∗Power v3.1.9.7 RRID:SCR_013726, R package ‘lme4’ RRID:SCR_015654, Mass Univariate Toolbox RRID:SCR_016108

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

The paper links to its data, not to its authors' code: see the Data section.

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

Tracing map

A tracing map links a paper to the code its authors published: this paper has none, so it has no map.

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:

  • it points to a dataset: OSF avy4w
  • it says that the data are available on request

Read it in the paper: doi.org/10.1016/j.isci.2026.117159.

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 Patricia León-Cabrera (0000-0002-1763-8444); removed Patricia León-Cabrera

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 4 keywords, 7 funders, 60 references, 8 RRIDs.

Cite

This paper

León-Cabrera, P., Prunell-Castañé, A., Münte, T. F., Wang, S., & Rodríguez-Fornells, A. (2026). Ultraslow brain dynamics as neurophysiological markers of information sampling during learning. iScience, 29(9), 117159. https://doi.org/10.1016/j.isci.2026.117159

BibTeX

@article{leoncabrera2026ultraslow,
author = {León-Cabrera, Patricia and Prunell-Castañé, Anna and Münte, Thomas F and Wang, Shunkai and Rodríguez-Fornells, Antoni},
title = {{Ultraslow brain dynamics as neurophysiological markers of information sampling during learning}},
journal = {iScience},
year = {2026},
month = aug,
volume = {29},
number = {9},
pages = {117159},
publisher = {Elsevier},
issn = {2589-0042},
doi = {10.1016/j.isci.2026.117159},
url = {https://doi.org/10.1016/j.isci.2026.117159},
pmid = {42668668},
pmcid = {PMC13524776}
}

RIS

TY - JOUR
AU - León-Cabrera, Patricia
AU - Prunell-Castañé, Anna
AU - Münte, Thomas F
AU - Wang, Shunkai
AU - Rodríguez-Fornells, Antoni
TI - Ultraslow brain dynamics as neurophysiological markers of information sampling during learning
T2 - iScience
J2 - iScience
PY - 2026
DA - 2026/08/22
VL - 29
IS - 9
SP - 117159
SN - 2589-0042
PB - Elsevier
DO - 10.1016/j.isci.2026.117159
UR - https://doi.org/10.1016/j.isci.2026.117159
LA - en
ER -

CSL-JSON

{
"id": "10.1016/j.isci.2026.117159",
"type": "article-journal",
"title": "Ultraslow brain dynamics as neurophysiological markers of information sampling during learning",
"container-title": "iScience",
"author": [
{
"family": "León-Cabrera",
"given": "Patricia"
},
{
"family": "Prunell-Castañé",
"given": "Anna"
},
{
"family": "Münte",
"given": "Thomas F"
},
{
"family": "Wang",
"given": "Shunkai"
},
{
"family": "Rodríguez-Fornells",
"given": "Antoni"
}
],
"container-title-short": "iScience",
"volume": "29",
"issue": "9",
"page": "117159",
"DOI": "10.1016/j.isci.2026.117159",
"PMID": "42668668",
"PMCID": "PMC13524776",
"ISSN": "2589-0042",
"publisher": "Elsevier",
"URL": "https://doi.org/10.1016/j.isci.2026.117159",
"language": "en",
"issued": {
"date-parts": [
[
2026,
8,
22
]
]
}
}

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.3389/fnhum.2026.1774932
Processing long-distance wh-dependency in the Kyengsang dialect of Korean: an ERP study.
Journal: Frontiers in human neuroscience
In common: EEG, 6 references
[2] doi:10.1073/pnas.2422097122
Hierarchical dynamic coding coordinates speech comprehension in the human brain
Journal: n/a
In common: cognitive, 5 references
[3] doi:10.1111/psyp.70306 [code]
From Feedback-Learning to Semantic Memory: Can Feedback-Related Brain Activity Predict Object-Word Associations?
Journal: Psychophysiology
In common: EEG, cognitive, 4 references
[4] doi:10.1162/nol.a.264 [code]
The Temporal Dynamics of the Labeling Algorithm During Natural Language Comprehension: Neural Evidence for Phrase Grammatical Type Generation.
Journal: Neurobiology of language (Cambridge, Mass.)
In common: EEG, 6 references
[5] doi:10.1038/s41598-026-41532-0 [code]
Prediction, syntax and semantic grounding in the brain and large language models.
Journal: Scientific reports
In common: EEG, cognitive, 4 references
[6] doi:10.3758/s13415-026-01427-z
ERP effects at encoding: Image memorability or recognition success?
Journal: Cognitive, affective & behavioral neuroscience
In common: EEG, cognitive, 4 references
[7] doi:10.1038/s42003-026-10108-z [code]
Time-resolved EEG decoding reveals altered neural dynamics of affective semantic evaluation in depression and suicidality.
Journal: Communications biology
In common: EEG, cognitive, 4 references
[8] doi:10.1111/ejn.70503
Modulation of Predictive Coding in Auditory Paradigms of Varying Complexity in Children With Developmental Language Disorder.
Journal: The European journal of neuroscience
In common: EEG, cognitive, 3 references
[9] doi:10.1002/dneu.70027
The Intriguingly Social N400 of Preverbal Infants.
Journal: Developmental neurobiology
In common: EEG, 3 references
[10] doi:10.1162/opmi.a.372 [code]
Broadening the Agent Preference Hypothesis Through Experiencers: Eye-Tracking and EEG Evidence of Proto-Agents and Proto-Patients.
Journal: Open mind : discoveries in cognitive science
In common: EEG, 3 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.

Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.