Age-related differences in whole-body muscle synergies during overarm throwing in children

Overarm throwing is a uniquely human skill that requires precise whole-body coordination. Although throwing behavior emerges early in childhood, the neuromuscular mechanisms that support its development remain poorly characterized. Here, we provide novel evidence for the age-related differences of whole-body muscle synergies during maximum-effort throwing in preschool-aged (PS) and school-aged (SA) children. Electromyography was recorded from 16 muscles, and non-negative matrix factorization was applied to extract muscle synergies. We compared ball speed, number of synergies, synergy structure, and temporal consistency between groups. Ball speed was significantly higher in SA than PS (p = 0.0059). Yet, the number of synergies did not differ (p = 0.6227), suggesting that the dimensionality of synergies is largely established by the preschool years. Instead, developmental improvements were driven by structural and temporal reorganization. Trunk and upper-limb synergies merged into a single synergy in SA, reflecting improved postural integration. Moreover, the temporal variability of synergy activation was reduced in SA (p = 0.0006), indicating that movement sequences became more precise and stable. These findings reveal that early gains in throwing arise not from expanding synergy number but from reorganizing their structure and temporal coordination, offering mechanistic insight into how complex whole-body skills are refined during childhood.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-05-10
DOI
https://doi.org/10.1038/s41598-026-50611-1
Primary Topic
Motor Control and Adaptation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Age-related differences in whole-body muscle synergies during overarm throwing in children

Ayane Kusafuka, Taishi Okegawa, Takuya Murakami, Yuto Sakakibara et al.
Scientific Reports
Motor Control and Adaptation
article

Age-related differences in whole-body muscle synergies during overarm throwing in children

Ayane Kusafuka, Taishi Okegawa, Takuya Murakami, Yuto Sakakibara, Hiroki Saito, Atsushi Sasaki, Kimitaka Nakazawa, Nadaka Hakariya, Naotsugu Kaneko, Daiki Yamasaki
article en

Abstract

Overarm throwing is a uniquely human skill that requires precise whole-body coordination. Although throwing behavior emerges early in childhood, the neuromuscular mechanisms that support its development remain poorly characterized. Here, we provide novel evidence for the age-related differences of whole-body muscle synergies during maximum-effort throwing in preschool-aged (PS) and school-aged (SA) children. Electromyography was recorded from 16 muscles, and non-negative matrix factorization was applied to extract muscle synergies. We compared ball speed, number of synergies, synergy structure, and temporal consistency between groups. Ball speed was significantly higher in SA than PS (p = 0.0059). Yet, the number of synergies did not differ (p = 0.6227), suggesting that the dimensionality of synergies is largely established by the preschool years. Instead, developmental improvements were driven by structural and temporal reorganization. Trunk and upper-limb synergies merged into a single synergy in SA, reflecting improved postural integration. Moreover, the temporal variability of synergy activation was reduced in SA (p = 0.0006), indicating that movement sequences became more precise and stable. These findings reveal that early gains in throwing arise not from expanding synergy number but from reorganizing their structure and temporal coordination, offering mechanistic insight into how complex whole-body skills are refined during childhood.

Scientific Reports
Tokyo University of Technology (JP), Waseda University (JP), Tokyo University of the Arts (JP), Japan Society for the Promotion of Science (JP), National Rehabilitation Center for Persons with Disabilities (JP), The University of Tokyo (JP)
Openalex Percentile: Top 5%
Motor Control and Adaptation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.