ArticleSensors (Basel, Switzerland)2024
Muscle Network Connectivity Study in Diabetic Peripheral Neuropathy Patients.
Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Normalized EMG Amplitude During Repeated Sit-to-Stand Transfers in Patients with Diabetic Peripheral Neuropathy.Bioengineering (Basel, Switzerland) · 2026Article
- Integrated analysis of neuromuscular dysfunction and metabolic dysregulation in diabetic peripheral neuropathy: associations with digital deformities and clinical risk stratification in a case-control study.Frontiers in physiology · 2026Article
- Muscle synergies and functional network organization underlying Tai Chi movements: a pilot cross-Sectional study towards a personalized Neuromechanical Baseline.Frontiers in bioengineering and biotechnology · 2026Article
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Authors and funding
10 authors.
Funding
Abstract
Diabetic peripheral neuropathy (DPN) is a prevalent complication of chronic diabetes mellitus and has a significant impact on quality of life. DPN typically manifests itself as a symmetrical, length-dependent sensorimotor polyneuropathy with severe effects on gait. Surface electromyography (sEMG) is a valuable low-cost tool for assessing muscle activation patterns and precise identification of abnormalities. For the present study, we used information theory methods, such as cross-correlation (CC), normalized mutual information (NMI), conditional granger causality (CG-Causality), and transfer entropy (TE), to evaluate muscle network connectivity in three population groups: 33 controls (healthy volunteers, CT), 10 diabetic patients with a low risk of DPN (LW), and 17 moderate/high risk patients (MH). The results obtained indicated significant alterations in the intermuscular coupling mechanisms due to diabetes and DPN, with the TE group showing the best performance in detecting differences. The data revealed a significant increase in information transfer and muscle connectivity in the LW group over the CT group, while the MH group obtained significantly lower values for these metrics than the other two groups. These findings highlight the sEMG coupling metrics' potential to reveal neuromuscular mechanisms that could aid the development of targeted rehabilitation strategies and help monitor DPN patients.
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Registered trials
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