Optimizing neuromuscular symmetry through load-progressive closed-chain upper limb training: An EMG-based approach

Bilateral neuromuscular symmetry is a critical factor for safe and effective resistance training. Limited evidence exists on how progressive closed-chain resistance exercises influence upper-limb muscle activation and interlimb balance. Forty healthy, recreationally trained males (mean age 22.8 ± 1.9 years; height 176.2 ± 4.7 cm; weight 73.5 ± 6.2 kg) performed bilateral elbow flexion and extension at 50 %, 75 %, and 90 % of one-repetition maximum (1RM). Surface electromyography (EMG) was recorded bilaterally from the biceps brachii and triceps brachii. Muscle activity was quantified using root mean square (RMS) values, and bilateral coordination was assessed through symmetry indices. EMG amplitude increased significantly with higher load intensities (p < 0.001). Bilateral symmetry improved at 90 % 1RM, as reflected by lower symmetry index values and non-significant interlimb differences. At lower intensities, moderate asymmetries persisted, particularly in antagonist muscles. Progressive closed-chain resistance training enhances neuromuscular activation and promotes interlimb symmetry in the upper limbs, especially under near-maximal loading. These findings suggest that higher load intensities acutely enhance muscle coordination and reduce asymmetry during bilateral resistance exercise.

Authors

Institutions

Publication Details

Journal
JSAMS Plus
Published
2025-12-24
DOI
https://doi.org/10.1016/j.jsampl.2025.100133
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing neuromuscular symmetry through load-progressive closed-chain upper limb training: An EMG-based approach

Taha H. Jasim, Rafid Qaduri, Hiba Qasim Hamadi, Safaa Ismaeel et al.
JSAMS Plus
Muscle activation and electromyography studies
article

Optimizing neuromuscular symmetry through load-progressive closed-chain upper limb training: An EMG-based approach

Taha H. Jasim, Rafid Qaduri, Hiba Qasim Hamadi, Safaa Ismaeel, Mohammed Al-Jahni, Shaimaa Shihab
article en

Abstract

Bilateral neuromuscular symmetry is a critical factor for safe and effective resistance training. Limited evidence exists on how progressive closed-chain resistance exercises influence upper-limb muscle activation and interlimb balance. Forty healthy, recreationally trained males (mean age 22.8 ± 1.9 years; height 176.2 ± 4.7 cm; weight 73.5 ± 6.2 kg) performed bilateral elbow flexion and extension at 50 %, 75 %, and 90 % of one-repetition maximum (1RM). Surface electromyography (EMG) was recorded bilaterally from the biceps brachii and triceps brachii. Muscle activity was quantified using root mean square (RMS) values, and bilateral coordination was assessed through symmetry indices. EMG amplitude increased significantly with higher load intensities (p < 0.001). Bilateral symmetry improved at 90 % 1RM, as reflected by lower symmetry index values and non-significant interlimb differences. At lower intensities, moderate asymmetries persisted, particularly in antagonist muscles. Progressive closed-chain resistance training enhances neuromuscular activation and promotes interlimb symmetry in the upper limbs, especially under near-maximal loading. These findings suggest that higher load intensities acutely enhance muscle coordination and reduce asymmetry during bilateral resistance exercise.

JSAMS PlusVol. 7
Ministry of Youth and Sports (RO), University of Diyala (IQ), Jazan University (SA)
Good health and well-being
Openalex Percentile: Top 42%
Muscle activation and electromyography studies
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.