Evidence map›Paper›PMID 42828157›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Muscle synergies and functional network organization underlying Tai Chi movements: a pilot cross-Sectional study towards a personalized Neuromechanical Baseline.

Zhi Li, Xiupan Wei, Ting Zhou, Xueming Fu, Qian Wang, Wenhao Zou, Pengyi Gao, Pei Wang, Shusen He, Zhe Yang and 2 more

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Zhi Li *Department of Rehabilitation Medicine, Southeast University Zhongda Hospital, Nanjing, China.
Xiupan Wei *Department of Rehabilitation Medicine, Southeast University Zhongda Hospital, Nanjing, China.
Ting Zhou *Department of Rehabilitation Medicine, Southeast University Zhongda Hospital, Nanjing, China.
Xueming FuSchool of Biomedical Engineering, University of Science and Technology of China, Hefei, China.
Qian WangDepartment of Rehabilitation Medicine, School of Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Wenhao ZouDepartment of Rehabilitation Medicine, Southeast University Zhongda Hospital, Nanjing, China.
Pengyi GaoDepartment of Rehabilitation Medicine, Southeast University Zhongda Hospital, Nanjing, China.
Pei WangDepartment of Rehabilitation Medicine, Southeast University Zhongda Hospital, Nanjing, China.
Shusen HeDepartment of Rehabilitation Medicine, Qingyun Traditional Chinese Medicine Hospital, Dezhou, China.
Zhe YangDepartment of Rehabilitation Medicine, Qingyun Traditional Chinese Medicine Hospital, Dezhou, China.
Aiguo SongThe Intelligent Information Processing Laboratory, Southeast University, Nanjing, China.
Hongxing WangDepartment of Rehabilitation Medicine, Southeast University Zhongda Hospital, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tai Chi (TC) integrates coordinated upper-lower limb movements and bilateral motor patterns that enhance neuromuscular control. Despite its rehabilitation potential, patients with motor dysfunction often find standard TC postures difficult to perform, and target muscles vary across individuals. This study aimed to characterize muscle synergies and functional networks during TC to inform personalized rehabilitation. Twenty-three experienced practitioners performed the 24-form TC sequence while surface electromyography (sEMG) signals were recorded from 16 bilateral upper- and lower-limb muscles. Muscle synergies were extracted using non-negative matrix factorization (NNMF), with model order selected using variance accounted for (VAF). Normalized mutual information (NMI) quantified intermuscular connectivity, and graph-theoretical metrics - clustering coefficient ( Clinical Trial Registration: www.chictr.org.cn, identifier ChiCTR2400080158.

Indexed as

functional networkmuscle activation patternsmuscle synergysurface electromyographyTai Chi

Identifiers

PMID42828157
PMCPMC13631746

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.