Coherence between electromyographic signals of anterior tibialis, soleus, and gastrocnemius during standing balance tasks
IntroductionKnowledge about the mechanics and physiological features of balance for healthy individuals enhances understanding of impairments of balance related to neuropathology secondary to aging, diseases of the central nervous system (CNS), and traumatic brain injury, such as concussion.MethodsW...
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| Format: | Article |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Human Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2023.1042758/full |
| _version_ | 1797844992036700160 |
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| author | Anuj Ojha Gordon Alderink Samhita Rhodes |
| author_facet | Anuj Ojha Gordon Alderink Samhita Rhodes |
| author_sort | Anuj Ojha |
| collection | DOAJ |
| description | IntroductionKnowledge about the mechanics and physiological features of balance for healthy individuals enhances understanding of impairments of balance related to neuropathology secondary to aging, diseases of the central nervous system (CNS), and traumatic brain injury, such as concussion.MethodsWe examined the neural correlations during muscle activation related to quiet standing from the intermuscular coherence in different neural frequency bands. Electromyography (EMG) signals were recorded from six healthy participants (fs = 1,200 Hz for 30 s) from three different muscles bilaterally: anterior tibialis, medial gastrocnemius, and soleus. Data were collected for four different postural stability conditions. In decreasing order of stability these were feet together eyes open, feet together eyes closed, tandem eyes open, and tandem eyes closed. Wavelet decomposition was used to extract the neural frequency bands: gamma, beta, alpha, theta, and delta. Magnitude-squared-coherence (MSC) was computed between different muscle pairs for each of the stability conditions.Results and discussionThere was greater coherence between muscle pairs in the same leg. Coherence was greater in lower frequency bands. For all frequency bands, the standard deviation of coherence between different muscle pairs was always higher in the less stable positions. Time-frequency coherence spectrograms also showed higher intermuscular coherence for muscle pairs in the same leg and in less stable positions. Our data suggest that coherence between EMG signals may be used as an independent indicator of the neural correlates for stability. |
| first_indexed | 2024-04-09T17:31:21Z |
| format | Article |
| id | doaj.art-56d6f268fb96474e89946873ef7c93f2 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-04-09T17:31:21Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-56d6f268fb96474e89946873ef7c93f22023-04-18T04:29:53ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612023-04-011710.3389/fnhum.2023.10427581042758Coherence between electromyographic signals of anterior tibialis, soleus, and gastrocnemius during standing balance tasksAnuj Ojha0Gordon Alderink1Samhita Rhodes2School of Engineering, Grand Valley State University, Grand Rapids, MI, United StatesDepartment of Physical Therapy and Athletic Training, Grand Valley State University, Grand Rapids, MI, United StatesSchool of Engineering, Grand Valley State University, Grand Rapids, MI, United StatesIntroductionKnowledge about the mechanics and physiological features of balance for healthy individuals enhances understanding of impairments of balance related to neuropathology secondary to aging, diseases of the central nervous system (CNS), and traumatic brain injury, such as concussion.MethodsWe examined the neural correlations during muscle activation related to quiet standing from the intermuscular coherence in different neural frequency bands. Electromyography (EMG) signals were recorded from six healthy participants (fs = 1,200 Hz for 30 s) from three different muscles bilaterally: anterior tibialis, medial gastrocnemius, and soleus. Data were collected for four different postural stability conditions. In decreasing order of stability these were feet together eyes open, feet together eyes closed, tandem eyes open, and tandem eyes closed. Wavelet decomposition was used to extract the neural frequency bands: gamma, beta, alpha, theta, and delta. Magnitude-squared-coherence (MSC) was computed between different muscle pairs for each of the stability conditions.Results and discussionThere was greater coherence between muscle pairs in the same leg. Coherence was greater in lower frequency bands. For all frequency bands, the standard deviation of coherence between different muscle pairs was always higher in the less stable positions. Time-frequency coherence spectrograms also showed higher intermuscular coherence for muscle pairs in the same leg and in less stable positions. Our data suggest that coherence between EMG signals may be used as an independent indicator of the neural correlates for stability.https://www.frontiersin.org/articles/10.3389/fnhum.2023.1042758/fullEMGpostural stabilitywavelet decompositionintermuscular coherencetandem stance |
| spellingShingle | Anuj Ojha Gordon Alderink Samhita Rhodes Coherence between electromyographic signals of anterior tibialis, soleus, and gastrocnemius during standing balance tasks Frontiers in Human Neuroscience EMG postural stability wavelet decomposition intermuscular coherence tandem stance |
| title | Coherence between electromyographic signals of anterior tibialis, soleus, and gastrocnemius during standing balance tasks |
| title_full | Coherence between electromyographic signals of anterior tibialis, soleus, and gastrocnemius during standing balance tasks |
| title_fullStr | Coherence between electromyographic signals of anterior tibialis, soleus, and gastrocnemius during standing balance tasks |
| title_full_unstemmed | Coherence between electromyographic signals of anterior tibialis, soleus, and gastrocnemius during standing balance tasks |
| title_short | Coherence between electromyographic signals of anterior tibialis, soleus, and gastrocnemius during standing balance tasks |
| title_sort | coherence between electromyographic signals of anterior tibialis soleus and gastrocnemius during standing balance tasks |
| topic | EMG postural stability wavelet decomposition intermuscular coherence tandem stance |
| url | https://www.frontiersin.org/articles/10.3389/fnhum.2023.1042758/full |
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