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Muscle synergy analysis in children with cerebral palsy
1Department of Electronic Science and Technology, University of Science and Technology of China (USTC), Hefei, People's Republic of China.
Insights
Muscle synergy analysis reveals significant lower extremity motor dysfunction in children with cerebral palsy (CP). CP children exhibit fewer mature muscle synergies and greater asymmetry, indicating potential nervous system changes.
Area of Science:
- Biomechanics
- Neuroscience
- Pediatrics
Background:
- Cerebral palsy (CP) often leads to lower extremity motor dysfunction.
- Understanding the underlying muscle coordination patterns is crucial for effective intervention.
Purpose of the Study:
- To investigate the mechanisms of lower extremity dysfunction in children with CP using muscle synergy analysis.
- To develop a quantitative method for assessing muscle synergy abnormalities in CP.
Main Methods:
- Surface electromyography (sEMG) data were collected from eight lower limb muscles during walking in CP children, adults, and typically developed children.
- Nonnegative matrix factorization was employed to extract muscle synergies.
- A novel Synergy Comprehensive Assessment (SCA) model was developed to quantify muscle synergy abnormalities.
Main Results:
- CP children displayed significant variations in muscle synergy number, structure, and symmetry compared to control groups.
- Fewer mature synergies and abnormal, CP-specific synergies were observed in the CP group.
- The SCA scores were significantly lower in the CP group (57.00 ± 16.78) compared to adult (95.74 ± 2.04) and typically developed children (84.19 ± 11.76).
Conclusions:
- Muscle synergy analysis provides valuable insights into the motor dysfunction associated with CP.
- Abnormalities in muscle synergies are linked to the physiological changes in the nervous system of children with CP.
- The SCA model offers a promising tool for quantitatively assessing and understanding CP-related motor impairments.
Objective:
To explore the mechanism of lower extremity dysfunction of cerebral palsy (CP) children through muscle synergy analysis.
Approach:
Twelve CP children were involved in this study, ten adults (AD) and eight typically developed (TD) children were recruited as a control group. Surface electromyographic (sEMG) signals were collected bilaterally from eight lower limb muscles of the subjects during forward walking at a comfortable speed. A nonnegative matrix factorization algorithm was used to extract muscle synergies. In view of muscle synergy differences in number, structure and symmetry, a model named synergy comprehensive assessment (SCA) was proposed to quantify the abnormality of muscle synergies.
Main Results:
There existed larger variations between the muscle synergies of the CP group and the AD group in contrast with the TD group. Fewer mature synergies were recruited in the CP group, and many abnormal synergies specific to the CP group appeared. Specifically, CP children were found to recruit muscle synergies with a larger difference in structure and symmetry between two legs of one subject and different subjects. The proposed SCA scale demonstrated its great potential to quantitatively assess the lower-limb motor dysfunction of CP children. SCA scores of the CP group (57.00 ± 16.78) were found to be significantly less (p < 0.01) than that of the control group (AD group: 95.74 ± 2.04; TD group: 84.19 ± 11.76).
Significance:
The innovative quantitative results of this study can help us to better understand muscle synergy abnormality in CP children, which is related to their motor dysfunction and even the physiological change in their nervous system.
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