Evidence map›Paper›PMID 39228767›Full record

ArticleJournal of sports science & medicine2024

Neuromuscular Control Strategies in Basketball Shooting: Distance-Dependent Analysis of Muscle Synergies.

Penglei Fan, Zhitao Yang, Ting Wang, Jiaying Li, Youngsuk Kim, Sukwon Kim

Abstract read
In one paragraph

Article in Journal of sports science & medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Penglei FanDepartment of Physical Education, Jeonbuk National University, Jeonju, Republic of Korea.
Zhitao YangDepartment of Mechanical and Electrical Engineering, Zhoukou Normal University, Zhoukou, China.
Ting WangDepartment of Physical Education, Jeonbuk National University, Jeonju, Republic of Korea.
Jiaying LiDepartment of Physical Education, Jeonbuk National University, Jeonju, Republic of Korea.
Youngsuk KimDepartment of Physical Education, Jeonbuk National University, Jeonju, Republic of Korea.
Sukwon KimDepartment of Physical Education, Jeonbuk National University, Jeonju, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Basketball victory relies on an athlete's skill to make precise shots at different distances. While extensive research has explored the kinematics and dynamics of different shooting distances, the specific neuromuscular control strategies involved remain elusive. This study aimed to compare the differences in muscle synergies during basketball shooting at different distances, offering insights into neuromuscular control strategies and guiding athletes' training. Ten skilled shooting right-handed male basketball players participated as subjects in this experiment. Electromyographic (EMG) data for full-phase shooting were acquired at short (3.2 m), middle (5.0 m), and long (6.8 m) distances. Non-negative matrix decomposition extracted muscle synergies (motor modules and motor primitives) during shooting. The results of this study show that all three distance shooting can be broken down into three synergies and that there were differences in the synergies between short and long distances, with differences in motor primitive 1 and motor primitive 2 at the phase of 45% - 59% (

Indexed as

BasketballElectromyographyMotor SkillsMuscle, SkeletalAdultAthletic PerformanceBiomechanical PhenomenaHumansMaleYoung AdultAthletesCoordinationMuscle SynergyScoring

Identifiers

PMID39228767
PMCPMC11366846

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.