1
|
Li J, Zhang N, Xu Y, Wang J, Kang X, Ji R, Li K, Hou Y. Dynamical network-based evaluation for neuromuscular dysfunction in stroke-induced hemiplegia during standing. J Neuroeng Rehabil 2024; 21:190. [PMID: 39449006 PMCID: PMC11515527 DOI: 10.1186/s12984-024-01488-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 10/11/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND A given movement requires precise coordination of multiple muscles under the control of center nervous system. However, detailed knowledge about the changing characteristics of neuromuscular control for multi-muscle coordination in post-stroke hemiplegic patients during standing is still lacking. This study aimed to investigate the hemiplegia-linked neuromuscular dysfunction during standing from the perspective of multi-muscle dynamical coordination by utilizing a novel network approach - weighted recurrence network (WRN). METHODS Ten male hemiplegic patients with first-ever stroke and 10 age-matched healthy male adults were instructed to stand on a platform quietly for 30 s with eyes opened and eyes closed, respectively. The WRN was constructed based on the surface electromyography signals of 16 muscles from trunk, hips, thighs and calves. Relevant topological parameters, including clustering coefficient (C) and average shortest path length (L), were extracted to evaluate the dynamical coordination of multiple muscles. A measure of node centrality in network theory, degree of centrality (DC), was innovatively introduced to assess the contribution of single muscle in the multi-muscle dynamical coordination. The standing-related assessment metric, center of pressure (COP), was provided by the platform directly. RESULTS Results showed that the post-stroke hemiplegic patients stood with remarkably higher similarity of muscle activation and more coupled intermuscular dynamics, characterized by higher C and lower L than the healthy subjects (p < 0.05). The DC values and rankings of back, hip and calf muscles on the affected side were significantly decreased, whereas those on the unaffected side were significantly increased in hemiplegia group compared with the healthy group (p < 0.05). Without visual feedback, subjects exhibited enhanced muscle coordination and increased muscle involvement (p < 0.05). A decrease in C and an increase in L of WRN were observed with decreased COP areas (p < 0.05). CONCLUSIONS These findings revealed that stroke-induced hemiplegia could significantly influence the neuromuscular control, which was manifested as more coupled intermuscular dynamics, abnormal deactivation of muscles on affected side and compensation of muscles on unaffected side from the perspective of multi-muscle coordination. Enhanced multi-muscle dynamical coordination was strongly associated with impaired postural control. This study provides a novel analytical tool for evaluation of neuromuscular dysfunction and specification of responsible muscles for impaired postural control in stroke-induced hemiplegic patients, and could be potentially applied in clinical practice.
Collapse
Affiliation(s)
- Jinping Li
- Department of Neurological Rehabilitation, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School of Nanjing Medical University, Suzhou, 215000, China
| | - Na Zhang
- Laboratory of Rehabilitation Engineering, Intelligent Medical Engineering Research Center, School of Control Science and Engineering, Shandong University, Jinan, 250061, China
| | - Ying Xu
- Department of Neurological Rehabilitation, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School of Nanjing Medical University, Suzhou, 215000, China
| | - Juan Wang
- Department of Neurological Rehabilitation, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School of Nanjing Medical University, Suzhou, 215000, China
| | - Xianglian Kang
- Department of Medical Engineering, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School of Nanjing Medical University, Suzhou, 215000, China
| | - Runing Ji
- Department of Medical Engineering, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School of Nanjing Medical University, Suzhou, 215000, China
| | - Ke Li
- Laboratory of Rehabilitation Engineering, Intelligent Medical Engineering Research Center, School of Control Science and Engineering, Shandong University, Jinan, 250061, China.
| | - Ying Hou
- Department of Neurological Rehabilitation, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School of Nanjing Medical University, Suzhou, 215000, China.
| |
Collapse
|
2
|
Xu Y, Wang J, Wang S, Li J, Hou Y, Guo A. Neuromuscular conditions in post-stroke ankle-foot dysfunction reflected by surface electromyography. J Neuroeng Rehabil 2024; 21:137. [PMID: 39107804 PMCID: PMC11304728 DOI: 10.1186/s12984-024-01435-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 07/27/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Rating scales and linear indices of surface electromyography (sEMG) cannot quantify all neuromuscular conditions associated with ankle-foot dysfunction in hemiplegic patients. This study aimed to reveal potential neuromuscular conditions of ankle-foot dysfunction in hemiplegic patients by nonlinear network indices of sEMG. METHODS Fourteen male patients with hemiplegia and 10 age- and sex-matched healthy male adults were recruited and tested in static standing position. The characteristics of the root mean square (RMS), median frequency (MF), and three nonlinear indices, the clustering coefficient (C), the average shortest path length (L), and the degree centrality (DC), of eight groups of muscles in bilateral calves were observed. RESULTS Compared to those of the control group, the RMS of the medial gastrocnemius (MG), flexor digitorum longus (FDL), and extensor digitorum longus (EDL) on the affected side were significantly lower (P < 0.05), and the RMS of the tibial anterior (TA) and EDL on the unaffected side were significantly higher (P < 0.05). The MF of the EDL on the affected side was significantly higher than that on the control side (P < 0.05). The C of the unaffected side was significantly higher than that of the control group, whereas the L was lower (P < 0.05). Compared to those of the control group, the DC of the TA, EDL, and soleus (SOL) on the unaffected sides were higher (P < 0.05), and the DC of the MG on the affected sides was lower (P < 0.05). CONCLUSION The change trends and clinical significance of these three network indices, including C, L, and DC, are not in line with those of the traditional linear indices, the RMS and the MF. The C and L may reflect the degree of synchronous activation of muscles during a certain motor task. The DC might be able to quantitatively assess the degree of muscle involvement and reflect the degree of involvement of a single muscle. Linear and nonlinear indices may reveal more neuromuscular conditions in hemiplegic ankle-foot dysfunction from different aspects. TRIAL REGISTRATION ChiCTR2100055090.
Collapse
Affiliation(s)
- Ying Xu
- Department of Rehabilitation Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China
- Department of Rehabilitation Medicine, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School of Nanjing Medical University, Suzhou, 215000, China
| | - Juan Wang
- Department of Rehabilitation Medicine, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School of Nanjing Medical University, Suzhou, 215000, China
| | - Shujia Wang
- Department of Rehabilitation Medicine, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School of Nanjing Medical University, Suzhou, 215000, China
| | - Jinping Li
- Department of Rehabilitation Medicine, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School of Nanjing Medical University, Suzhou, 215000, China
| | - Ying Hou
- Department of Rehabilitation Medicine, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School of Nanjing Medical University, Suzhou, 215000, China.
| | - Aisong Guo
- Department of Rehabilitation Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China.
| |
Collapse
|
3
|
Li J, Kang X, Li K, Xu Y, Wang Z, Zhang X, Guo Q, Ji R, Hou Y. Clinical significance of dynamical network indices of surface electromyography for reticular neuromuscular control assessment. J Neuroeng Rehabil 2023; 20:170. [PMID: 38124144 PMCID: PMC10734060 DOI: 10.1186/s12984-023-01297-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 12/12/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND There is currently no objective and accurate clinical assessment of reticular neuromuscular control in healthy subjects or patients with upper motor neuron injury. As a result, clinical dysfunctions of neuromuscular control could just be semi-quantified, efficacies and mechanisms of various therapies for neuromuscular control improving are difficult to verify. METHODS Fourteen healthy participants were required to maintain standing balance in the kinetostatics model of Gusu Constraint Standing Training (GCST). A backward and upward constraint force was applied to their trunk at 0°, 20° and 25°, respectively. The multiplex recurrence network (MRN) was applied to analyze the surface electromyography signals of 16 muscles of bilateral lower limbs during the tests. Different levels of MRN network indices were utilized to assess reticular neuromuscular control. RESULTS Compared with the 0° test, the MRN indices related to muscle coordination of bilateral lower limbs, of unilateral lower limb and of inter limbs showed significant increase when participants stood in 20° and 25° tests (P < 0.05). The indices related to muscle contribution of gluteal, anterior thigh and calf muscles significantly increased when participants stood in 20° and 25° tests (P < 0.05). CONCLUSIONS This study applied the dynamical network indices of MRN to analyze the changes of neuromuscular control of lower limbs of healthy participants in the kinetostatics model of GCST. Results showed that the overall coordination of lower limb muscles would be significantly enhanced during performing GCST, partly by the enhancement of neuromuscular control of single lower limb, and partly by the enhancement of joint control across lower limbs. In particular, the muscles in buttocks, anterior thighs and calves played a more important role in the overall coordination, and their involvement was significantly increased. The MRN could provide details of control at the bilateral lower limbs, unilateral lower limb, inter limbs, and single muscle levels, and has the potential to be a new tool for assessing the reticular neuromuscular control. Trial registration ChiCTR2100055090.
Collapse
Affiliation(s)
- Jinping Li
- Department of Rehabilitation Medicine, Suzhou Municipal Hospital, Gusu School, Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, Suzhou, 215000, China
| | - Xianglian Kang
- Department of Medical Engineering, Suzhou Municipal Hospital, Gusu School, Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, Suzhou, 215000, China
| | - Ke Li
- Laboratory of Rehabilitation Engineering, Intelligent Medical Engineering Research Center, School of Control Science and Engineering, Shandong University, Jinan, 250061, China
| | - Ying Xu
- Department of Rehabilitation Medicine, Suzhou Municipal Hospital, Gusu School, Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, Suzhou, 215000, China
| | - Zhengfei Wang
- Department of Rehabilitation Medicine, Changshu No.1 People's Hospital, Changshu Affiliated Hospital of Soochow University, Changshu, 215500, China
| | - Xinzhi Zhang
- Department of Rehabilitation Medicine, Changshu No.1 People's Hospital, Changshu Affiliated Hospital of Soochow University, Changshu, 215500, China
| | - Qingjia Guo
- Department of Rehabilitation Medicine, Changshu No.1 People's Hospital, Changshu Affiliated Hospital of Soochow University, Changshu, 215500, China
| | - Runing Ji
- Department of Medical Engineering, Suzhou Municipal Hospital, Gusu School, Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, Suzhou, 215000, China.
| | - Ying Hou
- Department of Rehabilitation Medicine, Suzhou Municipal Hospital, Gusu School, Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, Suzhou, 215000, China.
| |
Collapse
|