Roya Hoveizavi , Simon J. Fisher , Benjamin R. Shuman , Joshua C. Joiner , Fan Gao
{"title":"在没有糖尿病神经病变的糖尿病患者中,肌肉协同作用在很大程度上不受影响","authors":"Roya Hoveizavi , Simon J. Fisher , Benjamin R. Shuman , Joshua C. Joiner , Fan Gao","doi":"10.1016/j.clinbiomech.2025.106520","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Impaired neuromuscular function in individuals with diabetes can adversely affect gait kinematics, kinetics, and electromyography, potentially increasing the risk of serious complications such as plantar ulcers and amputations. However, it remains unclear whether these changes are associated with alterations in muscle synergies. This study aims to examine muscle synergies in individuals with diabetes.</div></div><div><h3>Methods</h3><div>Surface electromyography recordings were obtained from seven lower extremity muscles (vastus lateralis, rectus femoris, biceps femoris, semitendinosus, lateral gastrocnemius, soleus, and tibialis anterior) during 20 trials of barefoot walking. Eleven individuals with type 2 diabetes without diabetic neuropathy and ten age-matched controls were recruited. Variations in synergy complexity were assessed by the number of synergies needed to account for >90 % of the total variance in the electromyography data, total variance accounted for by one synergy, and total variance accounted for by four synergies. Synergy weights and activations for a four-synergy solution were compared using cosine similarity. An electromyography co-contraction index was computed for agonist and antagonist pairs of muscles.</div></div><div><h3>Findings</h3><div>Those with diabetes did not significantly differ from controls in the number of synergies, total variance accounted for by one synergy, total variance accounted for by four synergies, or synergy composition. However, they demonstrated higher levels of variability in synergy composition similarity.</div></div><div><h3>Interpretation</h3><div>These results indicate that, at the group level, individuals with diabetes without neuropathy employ largely similar motor control strategies as their healthy counterparts while walking, and previously reported variations in gait biomechanics in this population may be attributed to peripheral neuromuscular dysfunction.</div></div>","PeriodicalId":50992,"journal":{"name":"Clinical Biomechanics","volume":"125 ","pages":"Article 106520"},"PeriodicalIF":1.4000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Muscle synergies are largely unaffected in individuals with diabetes who do not have diabetic neuropathy\",\"authors\":\"Roya Hoveizavi , Simon J. Fisher , Benjamin R. Shuman , Joshua C. Joiner , Fan Gao\",\"doi\":\"10.1016/j.clinbiomech.2025.106520\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Impaired neuromuscular function in individuals with diabetes can adversely affect gait kinematics, kinetics, and electromyography, potentially increasing the risk of serious complications such as plantar ulcers and amputations. However, it remains unclear whether these changes are associated with alterations in muscle synergies. This study aims to examine muscle synergies in individuals with diabetes.</div></div><div><h3>Methods</h3><div>Surface electromyography recordings were obtained from seven lower extremity muscles (vastus lateralis, rectus femoris, biceps femoris, semitendinosus, lateral gastrocnemius, soleus, and tibialis anterior) during 20 trials of barefoot walking. Eleven individuals with type 2 diabetes without diabetic neuropathy and ten age-matched controls were recruited. Variations in synergy complexity were assessed by the number of synergies needed to account for >90 % of the total variance in the electromyography data, total variance accounted for by one synergy, and total variance accounted for by four synergies. Synergy weights and activations for a four-synergy solution were compared using cosine similarity. An electromyography co-contraction index was computed for agonist and antagonist pairs of muscles.</div></div><div><h3>Findings</h3><div>Those with diabetes did not significantly differ from controls in the number of synergies, total variance accounted for by one synergy, total variance accounted for by four synergies, or synergy composition. However, they demonstrated higher levels of variability in synergy composition similarity.</div></div><div><h3>Interpretation</h3><div>These results indicate that, at the group level, individuals with diabetes without neuropathy employ largely similar motor control strategies as their healthy counterparts while walking, and previously reported variations in gait biomechanics in this population may be attributed to peripheral neuromuscular dysfunction.</div></div>\",\"PeriodicalId\":50992,\"journal\":{\"name\":\"Clinical Biomechanics\",\"volume\":\"125 \",\"pages\":\"Article 106520\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Biomechanics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0268003325000932\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Biomechanics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0268003325000932","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
Muscle synergies are largely unaffected in individuals with diabetes who do not have diabetic neuropathy
Background
Impaired neuromuscular function in individuals with diabetes can adversely affect gait kinematics, kinetics, and electromyography, potentially increasing the risk of serious complications such as plantar ulcers and amputations. However, it remains unclear whether these changes are associated with alterations in muscle synergies. This study aims to examine muscle synergies in individuals with diabetes.
Methods
Surface electromyography recordings were obtained from seven lower extremity muscles (vastus lateralis, rectus femoris, biceps femoris, semitendinosus, lateral gastrocnemius, soleus, and tibialis anterior) during 20 trials of barefoot walking. Eleven individuals with type 2 diabetes without diabetic neuropathy and ten age-matched controls were recruited. Variations in synergy complexity were assessed by the number of synergies needed to account for >90 % of the total variance in the electromyography data, total variance accounted for by one synergy, and total variance accounted for by four synergies. Synergy weights and activations for a four-synergy solution were compared using cosine similarity. An electromyography co-contraction index was computed for agonist and antagonist pairs of muscles.
Findings
Those with diabetes did not significantly differ from controls in the number of synergies, total variance accounted for by one synergy, total variance accounted for by four synergies, or synergy composition. However, they demonstrated higher levels of variability in synergy composition similarity.
Interpretation
These results indicate that, at the group level, individuals with diabetes without neuropathy employ largely similar motor control strategies as their healthy counterparts while walking, and previously reported variations in gait biomechanics in this population may be attributed to peripheral neuromuscular dysfunction.
期刊介绍:
Clinical Biomechanics is an international multidisciplinary journal of biomechanics with a focus on medical and clinical applications of new knowledge in the field.
The science of biomechanics helps explain the causes of cell, tissue, organ and body system disorders, and supports clinicians in the diagnosis, prognosis and evaluation of treatment methods and technologies. Clinical Biomechanics aims to strengthen the links between laboratory and clinic by publishing cutting-edge biomechanics research which helps to explain the causes of injury and disease, and which provides evidence contributing to improved clinical management.
A rigorous peer review system is employed and every attempt is made to process and publish top-quality papers promptly.
Clinical Biomechanics explores all facets of body system, organ, tissue and cell biomechanics, with an emphasis on medical and clinical applications of the basic science aspects. The role of basic science is therefore recognized in a medical or clinical context. The readership of the journal closely reflects its multi-disciplinary contents, being a balance of scientists, engineers and clinicians.
The contents are in the form of research papers, brief reports, review papers and correspondence, whilst special interest issues and supplements are published from time to time.
Disciplines covered include biomechanics and mechanobiology at all scales, bioengineering and use of tissue engineering and biomaterials for clinical applications, biophysics, as well as biomechanical aspects of medical robotics, ergonomics, physical and occupational therapeutics and rehabilitation.