Evidence map›Paper›PMID 40186523›Full record

ArticleHuman brain mapping2025

Effective Motor Skill Learning Induces Inverted-U Load-Dependent Activation in Contralateral Pre-Motor and Supplementary Motor Area.

Xiaolu Wang, Xuan Liang, Yixuan Ku, Yinwei Zhan, Rong Song

Abstract read
In one paragraph

Article in Human brain mapping, 2025. 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. Trial
  2. Review
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.

Xiaolu WangKey Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China.ORCID 0000-0001-7568-9226
Xuan LiangInstitute of Interactive and Visual Informatics, School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China.
Yixuan KuGuangdong Provincial Key Laboratory of Brain Function and Disease, Center for Brain and Mental Well-Being, Department of Psychology, Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0003-2804-5123
Yinwei ZhanInstitute of Interactive and Visual Informatics, School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China.
Rong SongKey Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China.ORCID 0000-0003-3662-116X

Funding

International Program for Ph.D. Candidates, Sun Yat-Sen UniversityShenzhen Medical Research Fund C2301002Shenzhen Medical Research Fund D2402013Shenzhen Science and Technology Research Program JCYJ20220818101602005
6 · The paper itself

Abstract

Motor learning involves complex interactions between the cognitive and sensorimotor systems, which are susceptible to different levels of task load. While the mechanism underlying load-dependent regulations in cognitive functions has been extensively investigated, their influence on downstream execution in motor skill learning remains less understood. The current study extends the understanding of whether and how learning alters the load-dependent activation pattern by a longitudinal functional near-infrared spectroscopy (fNIRS) study in which 30 healthy participants (15 females) engaged in extensive practice on a two-dimensional continuous hand tracking task with varying task difficulty. We proposed the index of difficulty (ID) as a quantitative measure of task difficulty, which was monotonically associated with a psychometric measure of subjective workload. As learning progressed, participants exhibited enhanced behavioral and metacognitive performance. Behavioral improvements were accompanied by plastic changes in the inferior prefrontal cortex, reflecting a shift in control strategy during motor learning. Most importantly, we found robust evidence of the learning-induced alteration in load-dependent cortical activation patterns, indicating that effective motor skill learning may lead to the emergence of an inverted-U relationship between cortical activation and load level in the contralateral pre-motor and supplementary motor areas. Our findings provide new insights into the learning-induced plasticity in brain and behavior, highlighting the load-dependent contributions in motor skill learning.

Indexed as

LearningMotor CortexMotor SkillsNeuronal PlasticityPrefrontal CortexPsychomotor PerformanceAdultFemaleFunctional NeuroimagingHumansMaleSpectroscopy, Near-InfraredYoung Adultcontinuous movementsmotor learningneural plasticitytask difficultyworkload

Identifiers

PMID40186523
PMCPMC11971689

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.