Abstract
Following a stroke, compensation for the loss of ipsilesional corticospinal and corticobulbar projections, results in increased reliance on contralesional motor pathways during paretic arm movement. Better understanding outcomes of post-stroke contralesional cortical adaptation outcomes may benefit more targeted post-stroke motor rehabilitation interventions. This proof-of-concept study involves eight healthy controls and ten post-stroke participants. Electroencephalographic (EEG) and deltoid electromyographic (EMG) data were collected during an upper-limb task. Phase coupling between beta-band motor cortex EEG and deltoid EMG was assessed using the Multi-Phase Locking Value (M−PLV) method. Different from classic cortico-muscular coherence, M−PLV allows for the calculation of dynamic phase coherence and delays, and is not affected by the non-stationary nature of EEG/EMG signals. Nerve conduction delay from the contralateral motor cortex to the deltoid muscle of the paretic arm was estimated. Our results show the ipsilateral (contralesional) motor cortex beta-band phase coherence behavior is altered in stroke participants, with significant differences in ipsilateral EEG-EMG coherence values, ipsilateral time course percentage above the significance threshold, and ipsilateral time course area above the significance threshold. M−PLV phase coherence analysis provides evidence for post-stroke contralesional motor adaptation, highlighting its increased role in the paretic shoulder abduction task. Nerve conduction delay between the motor cortices and deltoid muscle is significantly higher in stroke participants. Beta-band M−PLV phase coherence analysis shows greater phase-coherence distribution convergence between the ipsilateral (contralesional) and contralateral (ipsilesional) motor cortices in stroke participants, which is interpretable as evidence of maladaptive neural adaptation resulting from a greater reliance on the contralesional motor cortices.
Original language | English (US) |
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Article number | 106719 |
Journal | Biomedical Signal Processing and Control |
Volume | 97 |
DOIs | |
State | Published - Nov 2024 |
Funding
This work was supported by NIH/NICHD R21HD099710 (PIs: Dewald and Yang) and NIH/NICHD R01 HD109157 (PI: Yang), Dr. Yang's time on this work was also supported by his American Heart Association Award (932980) and National Science Foundation (NSF 2401215). Dr. Dewald's time on this research was also supported by his NIH/NINDS R01NS105759. This work is supported by NIH R21HD099710 and NIH R01 HD109157, Dr. Yang\u2019s time on this work was also support by his American Heart Association Award ( 932980 ) and National Science Foundation ( NSF 2401215 ). Dr. Dewald\u2019s time on this research was also supported by his NIH R01NS105759.
Keywords
- Beta-band phase coherence
- Electroencephalography
- Electromyography
- Multimodal corticomuscular connectivity
- Phase coherence analysis
- Post-stroke neuroadaptation
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Health Informatics