Evidence map›Paper›PMID 42222055›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

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

Siyu Long, Marie-Hélène Boudrias, Georgios D Mitsis

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Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Siyu LongIntegrated Program in Neuroscience, McGill University, Montréal, Canada.ORCID https://orcid.org/0009-0007-6872-6069
Marie-Hélène BoudriasCenter for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Montréal, QC, Canada.ORCID https://orcid.org/0000-0002-4287-5388
Georgios D MitsisDepartment of Bioengineering, McGill University, Montréal, Canada.ORCID https://orcid.org/0000-0001-9975-5128

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

aperiodic componentsbeta burstsEEG-fMRIhand gripshemodynamic response functionmotor control

Identifiers

PMID42222055
PMCPMC13218349

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.