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Phase-dependent stimulation response is shaped by the brain's dynamic functional connectivity.

Overview

Authors: Sophie Benitez Stulz1, Samy Castro2,3, Boris Gutkin4, Matthieu Gilson5, Demian Battaglia1,2,3
ORCID iDs: Demian Battaglia
  1. Aix-Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France
  2. Université de Strasbourg, CNRS, LNCA, Laboratoire de Neurosciences Cognitives et Adaptatives, Strasbourg, France
  3. Université de Strasbourg, University of Strasbourg Institute for Advanced Studies (USIAS), Strasbourg, France
  4. Ecole Normale Supérieure - PSL University, LNC INSERM DEC, Paris, France
  5. Aix-Marseille Université, CNRS, INT, Institut de Neurosciences de la Timone, Marseille, France
Journal: Network neuroscience (Cambridge, Mass.), volume 10, issue 2, pages 475-507
Dates: received 21 September 2024; accepted 19 January 2026; published online 22 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1162/netn.a.548 · PMID 42039101 · PMCID PMC13108500 · OpenAlex W7128158563
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: fMRI (modality), systems (subfield)
Methods: Smoothing, state filtering, decompositions, Machine learning, Connectivity, Single-unit activity, calcium imaging
Keywords: Dynamic functional connectivity, Brain stimulation, Phase response curve, Oscillations, Whole-brain modelling
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 104 references in the paper

Abstract

External brain stimulation is a promising tool for investigating and altering cognitive processes, with potential clinical applications to the restoration of dysfunctional neural dynamics. In line with experimental observations, we study how the effects of stimulation crucially depend on the ongoing dynamics of the brain, at the local level of the stimulated region but also of global coordinated brain activity. Specifically, we use connectome-based whole-brain computational modeling to explore how the effects of single-pulse stimulation to different regions strongly depend on both the phase of regional oscillatory activity and on the transiently occurring network of functional connectivity at the time of the applied stimulation. Importantly, we show that stimulation has not only state-dependent effects but can also induce global state switching. Lastly, predicting the effect of stimulation by using machine learning shows that functional network-aware measures (i.e., knowledge of either a discrete state of functional connectivity or of a detailed functional connectivity matrix) can increase the performance by up to 40%. Our results suggest that a fine characterization of intrinsic functional connectivity dynamics is essential for improving the reliability of exogenous stimulation.

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

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

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 (its code is available on request), so it has no map.

Data

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

Data and Materials Availability Statement

All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. Code for simulation is available on request to the corresponding author and will be deposited in a public repository upon publication.

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, 5 authors, 5 keywords, 3 funders, 101 references.

Cite

This paper

Stulz, S. B., Castro, S., Gutkin, B., Gilson, M., & Battaglia, D. (2026). Phase-dependent stimulation response is shaped by the brain's dynamic functional connectivity. Network neuroscience (Cambridge, Mass.), 10(2), 475-507. https://doi.org/10.1162/netn.a.548

BibTeX

@article{stulz2026phase,
author = {Stulz, Sophie Benitez and Castro, Samy and Gutkin, Boris and Gilson, Matthieu and Battaglia, Demian},
title = {{Phase-dependent stimulation response is shaped by the brain's dynamic functional connectivity}},
journal = {Network neuroscience (Cambridge, Mass.)},
year = {2026},
month = apr,
volume = {10},
number = {2},
pages = {475--507},
publisher = {MIT Press},
issn = {2472-1751},
doi = {10.1162/netn.a.548},
url = {https://doi.org/10.1162/netn.a.548},
pmid = {42039101},
pmcid = {PMC13108500}
}

RIS

TY - JOUR
AU - Stulz, Sophie Benitez
AU - Castro, Samy
AU - Gutkin, Boris
AU - Gilson, Matthieu
AU - Battaglia, Demian
TI - Phase-dependent stimulation response is shaped by the brain's dynamic functional connectivity
T2 - Network neuroscience (Cambridge, Mass.)
J2 - Netw Neurosci
PY - 2026
DA - 2026/04/22
VL - 10
IS - 2
SP - 475
EP - 507
SN - 2472-1751
PB - MIT Press
DO - 10.1162/netn.a.548
UR - https://doi.org/10.1162/netn.a.548
LA - en
ER -

CSL-JSON

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"language": "en",
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