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Beta bursts spatiotemporal profiles and their links to hemodynamic responses during movement and rest.

Overview

  1. Integrated Program in Neuroscience, McGill University, Montréal, Canada
  2. Center for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Montréal, QC, Canada
  3. Brain Lab, Jewish Rehabilitation Hospital, CISSS-Laval, Laval, Canada
  4. School of Physical and Occupational Therapy, McGill University, Montréal, Canada
  5. Department of Bioengineering, McGill University, Montréal, Canada
Journal: Imaging neuroscience (Cambridge, Mass.), volume 4, article IMAG.a.1255
Dates: received 30 May 2025; accepted 1 May 2026; published online 27 May 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1162/imag.a.1255 · PMID 42222055 · PMCID PMC13218349 · OpenAlex W7160445962
Open access: diamond, a free copy (OpenAlex)
Status: code on request
Categories: EEG (modality), fMRI (modality), human (organism), systems (subfield)
Methods: Spectral & time-frequency, Preprocessing, Statistics, Smoothing, state filtering, decompositions, Machine learning, fMRI & imaging
Keywords: EEG-fMRI, motor control, aperiodic components, beta bursts, hemodynamic response function, hand grips
Topic: EEG and Brain-Computer Interfaces (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 85 references in the paper

Abstract

Both periodic and aperiodic components in the electroencephalography (EEG) signal are known to play a role in motor control. In particular, periodic beta oscillations and their associated transient bursts (beta bursts) have been linked to motor inhibition. While the occurrence of these bursts is well-documented during simple motor tasks, their spatiotemporal distribution during more complex movements remains largely unexplored. This gap in our understanding extends to the relationship between transient EEG events and Blood Oxygenation Level Dependent (BOLD) activity, typically measured with functional magnetic resonance imaging (fMRI). To better understand these and their hemodynamic and functional correlates, simultaneous EEG and fMRI recordings were obtained at rest and during hand movements in 11 healthy adults. The spatiotemporal distribution for both aperiodic components and beta bursts was mapped during different phases of a handgrip task (low-level, ramp, and high-level grip force conditions). Additionally, the modulation of hemodynamic responses by beta bursts was investigated during both conditions. To this end, the detected beta bursts were used to estimate a hemodynamic response function (HRF) and predict the corresponding BOLD fMRI activity. During movement transition phases, a significant increase in the exponent and offset of the aperiodic components, as well as an increase in beta burst amplitude and rate were observed, as compared to sustained contractions. Furthermore, beta bursts in the contralateral/dominant motor regions of the moving hand elicited positive hemodynamic responses during movement but negative responses during rest, although the HRF features did not differ significantly between the two conditions. Other brain regions showed consistent negative hemodynamic responses across both motor tasks and resting state. These findings reveal a directional dissociation in hemodynamic responses to beta bursts between movement and rest states in motor regions, though future studies with larger sample sizes are needed to further characterize the state-dependence of this relationship. This work advances our understanding of the relationship between transient neural events and hemodynamic responses during movement-related processes in healthy individuals.

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.

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Data

Datasets cited

Data and Code Availability

The data supporting this study’s findings are not openly available due to reasons of sensitivity and are available from the corresponding author upon reasonable request.

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

Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 3 authors, 6 keywords, 4 funders, 85 references.

Cite

This paper

Long, S., Boudrias, M.-H., & Mitsis, G. D. (2026). Beta bursts spatiotemporal profiles and their links to hemodynamic responses during movement and rest. Imaging neuroscience (Cambridge, Mass.), 4, IMAG.a.1255. https://doi.org/10.1162/imag.a.1255

BibTeX

@article{long2026beta,
author = {Long, Siyu and Boudrias, Marie-Hélène and Mitsis, Georgios D.},
title = {{Beta bursts spatiotemporal profiles and their links to hemodynamic responses during movement and rest}},
journal = {Imaging neuroscience (Cambridge, Mass.)},
year = {2026},
month = may,
volume = {4},
pages = {IMAG.a.1255},
publisher = {MIT Press},
issn = {2837-6056},
doi = {10.1162/imag.a.1255},
url = {https://doi.org/10.1162/imag.a.1255},
pmid = {42222055},
pmcid = {PMC13218349}
}

RIS

TY - JOUR
AU - Long, Siyu
AU - Boudrias, Marie-Hélène
AU - Mitsis, Georgios D.
TI - Beta bursts spatiotemporal profiles and their links to hemodynamic responses during movement and rest
T2 - Imaging neuroscience (Cambridge, Mass.)
J2 - Imaging Neurosci (Camb)
PY - 2026
DA - 2026/05/27
VL - 4
SP - IMAG.a.1255
SN - 2837-6056
PB - MIT Press
DO - 10.1162/imag.a.1255
UR - https://doi.org/10.1162/imag.a.1255
LA - en
ER -

CSL-JSON

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