Evidence map›Paper›PMID 41965656›Full record

ArticleJournal of neuroengineering and rehabilitation2026

Cortical beta coherence provides a stronger non-invasive predictor of movement vigor than local beta power.

Emeline Pierrieau, Claire Dussard, Axel Plantey-Veux, Cloé Guerrini, Nathalie George, Camille Jeunet-Kelway

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2026. 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

6 authors.

Emeline PierrieauUniversité de Bordeaux, CNRS, EPHE, INCIA, UMR5287, Bordeaux, 33000, France. emeline.pierrieau@uclouvain.be.
Claire DussardSorbonne Université, Institut du Cerveau - Paris Brain Institute (ICM), CNRS, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Experimental neurosurgery team and Centre MEG-EEG, CENIR FR, Paris, France.
Axel Plantey-VeuxUniversité de Bordeaux, CNRS, EPHE, INCIA, UMR5287, Bordeaux, 33000, France.
Cloé GuerriniUniversité de Bordeaux, CNRS, EPHE, INCIA, UMR5287, Bordeaux, 33000, France.
Nathalie George *Sorbonne Université, Institut du Cerveau - Paris Brain Institute (ICM), CNRS, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Experimental neurosurgery team and Centre MEG-EEG, CENIR FR, Paris, France.
Camille Jeunet-Kelway *Université de Bordeaux, CNRS, EPHE, INCIA, UMR5287, Bordeaux, 33000, France.

Funding

Agence Nationale de la Recherche BETAPARK Project, ANR-20-CE37-0012
6 · The paper itself

Abstract

backgroundMovement elicits a robust decrease in motor cortical beta-band (β; 13–30 Hz) power contralateral to the moving limb. On this basis, studies have targeted contralateral motor cortical β power to decode or modulate movement vigor (initiation and execution speed) non-invasively. Yet, reported behavioral effects and decoding accuracy remain modest. Considering that controlling vigor involves distributed brain regions, network-level metrics that capture interactions between cortical regions may track changes in vigor more accurately than local power. We therefore tested whether β cortico-cortical coherence, measured as functional connectivity between contralateral motor cortex and other cortical areas, predicts movement vigor more reliably than β power.

methodsThirty healthy participants performed right hand opening at two instructed speeds (Fast, Slow), while high-density electroencephalography (EEG) was recorded. EEG data were source-localized, and analyses were conducted at the sensor and source levels. We compared β power and β coherence in their ability to discriminate Fast from Slow condition. Effects were assessed across the whole scalp/cortex and using subject-specific selections of electrodes/parcels optimized for discrimination.

resultsFast trials exhibited shorter movement time and reaction time than Slow trials, indicating higher vigor. No electrodes cluster showed any significant β power difference between Fast and Slow conditions. With subject-specific channels selection, β power discriminated vigor above chance (ΔAUC = 0.15, p = 10− 15), but no consistent sign of β power contrast (Fast < Slow or Fast > Slow) was found across participants (t = 0.43, p = 0.673). In contrast, using subject-specific parcels selection, β coherence was reduced during Fast relative to Slow in the majority of participants (t = − 2.32, p = 0.028) and predicted speed condition above chance (ΔAUC = 0.15, p = 10− 18). Across participants, lower β coherence (r = − 0.33, p = 0.038), but not β power (r = − 0.11, p = 0.286), was significantly associated with larger Slow-Fast vigor difference.

conclusionsβ cortico-cortical coherence between contralateral motor cortex and other cortical regions provided a more robust and consistent predictor of movement vigor than contralateral motor cortical β power. β coherence exhibited a sustained reduction during fast movements across trials and participants, supporting its use as target for non-invasive neuromodulation of vigor and as feature for decoding intended movement speed.

Indexed as

Beta RhythmMotor CortexAdultElectroencephalographyFemaleHandHumansMaleMovementYoung AdultBeta activityCoherenceConnectivityElectroencephalography (EEG)Movement speedMovement timePowerReaction timeVigor

Identifiers

PMID41965656
PMCPMC13214113

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Registered trials

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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.