Cortico-muscular interaction to monitor the effects of neuromuscular electrical stimulation pedaling training in chronic stroke

Bao, Shudong; Leung, Kenry W. C.; Tong, Kai-Yu

doi:10.1016/j.compbiomed.2021.104801

Cited by 10 publications

(6 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Going even further and studying changes in the long-range top-down (efferent) and bottom-up (afferent) cortico-peripheral coupling could aid in understanding the role of the motor feedback loop during rehabilitation [ 34 ]. A common feature for measuring efferent cortical-peripheral coupling is cortico-muscular coherence (CMC), based on measurements of muscle activity and underlying cortical activity [ 32 , 111 ]. Recent studies even indicated its potential use in a BCI-based rehabilitative approach.…”

Section: Discussionmentioning

confidence: 99%

A review of combined functional neuroimaging and motion capture for motor rehabilitation

Lorenz,

Su,

Skjæret-Maroni

2024

J NeuroEngineering Rehabil

View full text Add to dashboard Cite

Background Technological advancements in functional neuroimaging and motion capture have led to the development of novel methods that facilitate the diagnosis and rehabilitation of motor deficits. These advancements allow for the synchronous acquisition and analysis of complex signal streams of neurophysiological data (e.g., EEG, fNIRS) and behavioral data (e.g., motion capture). The fusion of those data streams has the potential to provide new insights into cortical mechanisms during movement, guide the development of rehabilitation practices, and become a tool for assessment and therapy in neurorehabilitation. Research objective This paper aims to review the existing literature on the combined use of motion capture and functional neuroimaging in motor rehabilitation. The objective is to understand the diversity and maturity of technological solutions employed and explore the clinical advantages of this multimodal approach. Methods This paper reviews literature related to the combined use of functional neuroimaging and motion capture for motor rehabilitation following the PRISMA guidelines. Besides study and participant characteristics, technological aspects of the used systems, signal processing methods, and the nature of multimodal feature synchronization and fusion were extracted. Results Out of 908 publications, 19 were included in the final review. Basic or translation studies were mainly represented and based predominantly on healthy participants or stroke patients. EEG and mechanical motion capture technologies were most used for biomechanical data acquisition, and their subsequent processing is based mainly on traditional methods. The system synchronization techniques at large were underreported. The fusion of multimodal features mainly supported the identification of movement-related cortical activity, and statistical methods were occasionally employed to examine cortico-kinematic relationships. Conclusion The fusion of motion capture and functional neuroimaging might offer advantages for motor rehabilitation in the future. Besides facilitating the assessment of cognitive processes in real-world settings, it could also improve rehabilitative devices’ usability in clinical environments. Further, by better understanding cortico-peripheral coupling, new neuro-rehabilitation methods can be developed, such as personalized proprioceptive training. However, further research is needed to advance our knowledge of cortical-peripheral coupling, evaluate the validity and reliability of multimodal parameters, and enhance user-friendly technologies for clinical adaptation.

show abstract

Section: Discussionmentioning

confidence: 99%

A review of combined functional neuroimaging and motion capture for motor rehabilitation

Lorenz,

Su,

Skjæret-Maroni

2024

J NeuroEngineering Rehabil

View full text Add to dashboard Cite

show abstract

“…EEG signals were further screened by visual inspection to remove artifacts. The electrode positions of the EEG data were flipped along the mid-sagittal plane for participants with left-hemisphere lesions so that the affected hemisphere was on the right side for all stroke participants [ 49 ]. The EEG signals of each trial were then segmented into six signal epochs with a duration of 15 s, corresponding to a 5 s baseline ahead of stimulation onset and a 10 s period during the stimulation block for later calculation [ 50 ] ( Figure 2 ).…”

Section: Methodsmentioning

confidence: 99%

Comparison of Immediate Neuromodulatory Effects between Focal Vibratory and Electrical Sensory Stimulations after Stroke

Lin,

Qing,

Huang

et al. 2024

Bioengineering

View full text Add to dashboard Cite

Focal vibratory stimulation (FVS) and neuromuscular electrical stimulation (NMES) are promising technologies for sensory rehabilitation after stroke. However, the differences between these techniques in immediate neuromodulatory effects on the poststroke cortex are not yet fully understood. In this research, cortical responses in persons with chronic stroke (n = 15) and unimpaired controls (n = 15) were measured by whole-brain electroencephalography (EEG) when FVS and NMES at different intensities were applied transcutaneously to the forearm muscles. Both FVS and sensory-level NMES induced alpha and beta oscillations in the sensorimotor cortex after stroke, significantly exceeding baseline levels (p < 0.05). These oscillations exhibited bilateral sensory deficiency, early adaptation, and contralesional compensation compared to the control group. FVS resulted in a significantly faster P300 response (p < 0.05) and higher theta oscillation (p < 0.05) compared to NMES. The beta desynchronization over the contralesional frontal–parietal area remained during NMES (p > 0.05), but it was significantly weakened during FVS (p < 0.05) after stroke. The results indicated that both FVS and NMES effectively activated the sensorimotor cortex after stroke. However, FVS was particularly effective in eliciting transient involuntary attention, while NMES primarily fostered the cortical responses of the targeted muscles in the contralesional motor cortex.

show abstract

“…NMES (neuromuscular electrical stimulation, NMES) is also extensively employed for enhancing motor function post-stroke ( Howlett et al, 2015 ). In comparison to solely traditional rehabilitation training, the combined rehabilitation approach integrating NMES and traditional methods is more effective in enhancing motor function and improving CMC in stroke patients ( Bao et al, 2021 ). A study that compared the impacts of constrained rehabilitation training versus traditional training on upper limb function 3–9 months post-stroke revealed that constrained rehabilitation training led to a more substantial improvement in paralyzed upper limb function among stroke patients ( Goldstein, 2007 ).…”

Section: Influencing Factorsmentioning

confidence: 99%

“…A study that compared the impacts of constrained rehabilitation training versus traditional training on upper limb function 3–9 months post-stroke revealed that constrained rehabilitation training led to a more substantial improvement in paralyzed upper limb function among stroke patients ( Goldstein, 2007 ). Contrary to weaker NMES intensity, which solely improves CMC in the ascending pathway ( Bao et al, 2019 ), stronger NMES enhances CMC in both the ascending and descending pathways ( Bao et al, 2021 ). Higher stimulation intensity of NMES at motor levels may exert a more significant modulatory effect.…”

Section: Influencing Factorsmentioning

confidence: 99%

Influencing factors of corticomuscular coherence in stroke patients

Gao,

Lv,

Ran

et al. 2024

Front. Hum. Neurosci.

View full text Add to dashboard Cite

Stroke, also known as cerebrovascular accident, is an acute cerebrovascular disease with a high incidence, disability rate, and mortality. It can disrupt the interaction between the cerebral cortex and external muscles. Corticomuscular coherence (CMC) is a common and useful method for studying how the cerebral cortex controls muscle activity. CMC can expose functional connections between the cortex and muscle, reflecting the information flow in the motor system. Afferent feedback related to CMC can reveal these functional connections. This paper aims to investigate the factors influencing CMC in stroke patients and provide a comprehensive summary and analysis of the current research in this area. This paper begins by discussing the impact of stroke and the significance of CMC in stroke patients. It then proceeds to elaborate on the mechanism of CMC and its defining formula. Next, the impacts of various factors on CMC in stroke patients were discussed individually. Lastly, this paper addresses current challenges and future prospects for CMC.

show abstract

Cortico-muscular interaction to monitor the effects of neuromuscular electrical stimulation pedaling training in chronic stroke

Cited by 10 publications

References 65 publications

A review of combined functional neuroimaging and motion capture for motor rehabilitation

A review of combined functional neuroimaging and motion capture for motor rehabilitation

Comparison of Immediate Neuromodulatory Effects between Focal Vibratory and Electrical Sensory Stimulations after Stroke

Influencing factors of corticomuscular coherence in stroke patients

Contact Info

Product

Resources

About