Evidence map›Paper›PMID 42509324›Full record

ArticleScientific reports2026

Expertise-driven differences in drummers' wrist-muscle motor unit behaviour.

Steffen A Herff, Gerard Breaden Madden, Scott Beveridge, Eckart Altenmüller, Hans-Christian Jabusch

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Steffen A Herff *Sydney Conservatorium of Music, The University of Sydney, Sydney, NSW, Australia.
Gerard Breaden Madden *Institute of Musicians' Medicine (IMM), University of Music Carl Maria von Weber, Dresden, Germany. gerard.madden@hfmdd.de.
Scott BeveridgeInstitute of Musicians' Medicine (IMM), University of Music Carl Maria von Weber, Dresden, Germany.
Eckart AltenmüllerInstitute of Music Physiology and Musicians' Medicine (IMMM), University of Music, Drama, and Media, Hannover, Germany.
Hans-Christian JabuschInstitute of Musicians' Medicine (IMM), University of Music Carl Maria von Weber, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to improve their performance, musicians devote thousands of hours to practising their instrument. However, how practise shapes the behaviour of muscles involved in music-making is not yet fully understood. Using surface electromyography, we report the muscle spike shapes of twenty-two drummers with different levels of playing experience, who performed a uni-manual isochronous drumming task at five different tempi. We used Bayesian mixed effects models to predict the mean (i) Spike Frequency, (ii) Spike Duration, and (iii) Number of Peaks per Spike in the Flexor Carpi Ulnaris and Extensor Carpi Radialis wrist/forearm muscles, and how these parameters vary with expertise (Cumulative Life Practice time; CLP, in hours). As to be expected, participants with more drumming experience showed better overall technical drumming performance (i.e., less variable timing) and less strike velocity asymmetries between hands. Furthermore, higher CLP - mediated by muscle, arm, and tempo - predicted greater Mean Spike Frequency, shorter Mean Spike Duration, and fewer Peaks per Spike. These findings suggest that the long-term training undertaken by individuals involved in drumming may contribute to changes in muscle activation patterns which are characterised by overall more efficient muscle usage. The results provide new insights with respect to practice-related muscle activation adaptation in drumming.

Indexed as

Muscle, SkeletalMusicWristAdultBayes TheoremElectromyographyFemaleHumansMaleYoung AdultDrummersExpertiseMuscle Activation AdaptationPhysiologysEMGSpike ShapeSurface Electromyography

Identifiers

PMID42509324
PMCPMC13408710

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.