Evidence map›Paper›PMID 42276068›Full record

ArticleCurrent biology : CB2026

Early skill learning is shaped by the offline emergence of expert synergies.

William Kistler, Rawan Fakhreddine, Giselle R Rodriguez, Margaret Hayward, Ethan R Buch, Sven Bestmann, Leonardo G Cohen

Abstract read
In one paragraph

Article in Current biology : CB, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Skill Memory Expansion Shapes Micro-Scale Dynamics of Skill Learning.bioRxiv : the preprint server for biology · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

William KistlerHuman Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, NIH, 9000 Rockville Pike, Bethesda, MD 20817, USA; Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, 33 Queen Square, London OX1 4AJ, UK. Electronic address: william.kistler.17@ucl.ac.uk.
Rawan FakhreddineHuman Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, NIH, 9000 Rockville Pike, Bethesda, MD 20817, USA.
Giselle R RodriguezHuman Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, NIH, 9000 Rockville Pike, Bethesda, MD 20817, USA.
Margaret HaywardHuman Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, NIH, 9000 Rockville Pike, Bethesda, MD 20817, USA.
Ethan R BuchHuman Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, NIH, 9000 Rockville Pike, Bethesda, MD 20817, USA.
Sven BestmannDepartment of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, 33 Queen Square, London OX1 4AJ, UK; Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, London OX1 4AJ, UK.
Leonardo G CohenHuman Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, NIH, 9000 Rockville Pike, Bethesda, MD 20817, USA. Electronic address: cohenl@ninds.nih.gov.

Funding

Mechanisms and Modulation of Brain Plasticity in Health and DiseaseZ01NS002978 · NINDS · NEUROLOGICAL DISORDERS AND STROKE · PI COHEN, LEONARDO GREGORIO · 1999 to 2008
$3.9M
Intramural NIH HHS Z01 NS002978Intramural NIH HHS Z99 NS999999
6 · The paper itself

Abstract

Everyday skilled actions depend on the formation of coordinated motor synergies that integrate multiple digits into stable, low-dimensional control units. Although initial practice of a new skill leads to rapid performance improvements, it is unclear whether the underlying movement kinematics reorganize on a similar timescale or in a way that directly relates to these gains. It also remains uncertain whether such reorganization occurs mainly during active practice or instead during brief rest breaks. Here, we tracked the temporal evolution of multi-digit synergy formation during early learning of a naturalistic keypress skill. Initial practice rapidly sculpted the motor repertoire toward higher-order, temporally compressed, and overlapping multi-digit synergies. These synergies emerged after only minutes of practice and continued to be expressed throughout the full training session. Notably, they were primarily shaped across brief rest breaks and robustly predicted individual skill proficiency. Across learning, distinct synergy subtypes emerged that differed in their heuristic prevalence. Rarely expressed synergies reflected transient novice patterns, synergies expressed at intermediate levels could index exploratory and trial-initiation strategies, and highly expressed synergies emerged later to dominate performance, reflecting the consolidation and expansion of skilled motor control. Together, these findings indicate that skilled performance is supported by the early formation of a compact repertoire of expert multi-digit synergies that emerge preferentially across rest periods and predict subsequent skill gains. They further raise the hypothesis that explicitly training such expert synergies alongside task goals could enhance learning in domains such as the arts, sports, and neurorehabilitation.

Indexed as

LearningMotor SkillsPsychomotor PerformanceBiomechanical PhenomenaHumansbrain computer interfacemarkerless pose estimationmemory consolidationmotor memorymotor sequence learningmulti-digit synergiesneurorehabilitationplanningsensorimotor synchronizationskill learning

Identifiers

PMID42276068
PMCPMC13267858

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.