Evidence map›Paper›PMID 41639657›Full record

ArticleBMC geriatrics2026

Adaptive alterations in muscle synergies during the recovery step compensate for perturbation-induced stability demands in older adults.

Huijie Lin, Haidan Liang, Fengxue Qi, Qining Yang, Maeruan Kebbach, Martin Schlegel, Sven Bruhn, Rainer Bader, Thomas Tischer, Xiping Ren and 1 more

Abstract read
In one paragraph

Article in BMC geriatrics, 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
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0citing papers in PubMed
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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

11 authors.

Huijie LinSchool of Teacher Education (Physical Education), Taizhou University, Linhai, 317000, China.
Haidan LiangSchool of Teacher Education (Physical Education), Taizhou University, Linhai, 317000, China.
Fengxue QiSports, Exercise and Brain Sciences Laboratory, Beijing Sport University, Beijing, 100084, China.
Qining YangDepartment of Joint Surgery, The affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, 321099, China.
Maeruan KebbachBiomechanics and Implant Technology Research Laboratory, Department of Orthopedics, Rostock University Medical Center, Doberaner Strasse 142, Rostock, 18057, Germany.
Martin SchlegelInstitute of Sport Science, University of Rostock, Rostock, 18051, Germany.
Sven BruhnInstitute of Sport Science, University of Rostock, Rostock, 18051, Germany.
Rainer BaderBiomechanics and Implant Technology Research Laboratory, Department of Orthopedics, Rostock University Medical Center, Doberaner Strasse 142, Rostock, 18057, Germany.
Thomas TischerBiomechanics and Implant Technology Research Laboratory, Department of Orthopedics, Rostock University Medical Center, Doberaner Strasse 142, Rostock, 18057, Germany.
Xiping RenCollege of Physical Education and Health Sciences, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321000, China. xiping.ren@zjnu.cn.
Christoph LutterBiomechanics and Implant Technology Research Laboratory, Department of Orthopedics, Rostock University Medical Center, Doberaner Strasse 142, Rostock, 18057, Germany.

Funding

the National Social Science Fund of China 23BTY122
6 · The paper itself

Abstract

backgroundAging is intimately linked to alterations in neuromuscular control, which can severely affect mobility. This study aimed to investigate how muscle synergies in older adults contribute to distinct forms of gait.

methodsWe measured the surface electromyography signals from 14 muscles in the lower limbs and trunk of healthy older adults during mechanically perturbed walking. Muscle weight and temporal activation coefficients for muscle synergies were extracted through a non-negative matrix factorization framework.

resultsFive distinct muscle synergies were identified in each gait pattern. Among these, four muscle synergies observed in the perturbed step and the first recovery step exhibited high similarity to their corresponding patterns in the normal step. Key differences were observed in the first recovery step: a specific muscle synergy pattern dominated by the gluteus medius and tibialis anterior muscles replaced the synergy dominated by the erector spinae in the normal step. The numbers of major activated muscles in the muscle synergy dominated by the vastus medialis and the gluteus medius decreased in the perturbed step, while these numbers increased in the first recovery step. During the transition phase of the stance in the first recovery step, the activation phase of the major synergistic muscles extended.

conclusionsSpecific muscle synergy patterns are associated with balance recovery and stability maintenance. Fractionation and merging of muscle synergies triggered in response to perturbations may relate to functional decline in older adults, serving as a mechanism for remodeling to adapt to changes in limb biomechanics and multiple motor task commands. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Adaptation, PhysiologicalAgingGaitMuscle, SkeletalPostural BalanceWalkingAgedBiomechanical PhenomenaElectromyographyFemaleHumansMaleActivation coefficientMuscle modularNon-negative matrix factorizationWeight coefficient

Identifiers

PMID41639657
PMCPMC13097930

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LicenceCC BY-NC-ND
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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.