Evidence map›Paper›PMID 41346403›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Novel

Tjerk P Gutteling, Maciej J Szul, Sébastien Daligault, Etienne Labyt, Julien Jung, James J Bonaiuto, Denis Schwartz

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tjerk P GuttelingCERMEP-Imagerie du Vivant, MEG Departement, Lyon, France.ORCID https://orcid.org/0000-0002-0934-418X
Maciej J SzulInstitut des Sciences Cognitives Marc Jeannerod, CNRS, UMR5229, Lyon, France.
Sébastien DaligaultCERMEP-Imagerie du Vivant, MEG Departement, Lyon, France.
Etienne LabytMAG4Health, Grenoble, France.
Julien JungUniversité Claude Bernard Lyon 1, CNRS, INSERM, Centre de Recherche en Neurosciences de Lyon CRNL U1028, UMR5292, EDUWELL, Bron, France.
James J BonaiutoInstitut des Sciences Cognitives Marc Jeannerod, CNRS, UMR5229, Lyon, France.
Denis SchwartzCERMEP-Imagerie du Vivant, MEG Departement, Lyon, France.ORCID https://orcid.org/0000-0002-8557-2934

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying the electrophysiology of motor preparation and execution is challenging due to the restrictions often placed on the experimental paradigm by the imaging modality. MEG is well suited to track temporal brain dynamics while offering good spatial resolution, but requires an absence of head motion due to the fixed helmet and associated cryogenic cooling system. Here, we tested whether novel, room temperature, wearable optically pumped magnetometers using Helium can support waveform-specific beta burst analysis in a visuomotor task, compared directly with SQUID-MEG. Beta band activity (13-30 Hz) is widely associated with motor activity, and understood to occur in bursts rather than sustained oscillations. Here, we used a novel beta burst waveform extraction pipeline to quantify both burst occurrence over time and the modulation of specific burst waveform motifs. We find that particular waveform classes show robust task-relevant modulations of burst rate. Critically, burst waveform shapes and their waveform-specific rate modulations were highly similar for Helium-OPMs and SQUID-MEG data, despite modality differences in overall time-frequency characteristics. These results validate Helium-OPMs for waveform-specific beta burst analysis, and support their use for high-quality electrophysiology in less restricted paradigms.

Indexed as

beta burstsMEGOPMreachingwaveforms

Identifiers

PMID41346403
PMCPMC12673217

What OpenQuestion holds

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Registered trials

None linked

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.