Relationship between motor imagery ability and motor function of hemiplegic upper limbs and their use in stroke patients

Morioka, Shu; Osumi, Michihiro; Sakauchi, S.; Ishibashi, Rintaro

doi:10.1016/j.rehab.2018.05.407

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It serves as an index for evaluating rehabilitation during stroke recovery (Geertsen et al, 2013). Repeated rehabilitation training can promote the formation of new neuronal connections and synaptic plasticity in the brain affected by stroke, thereby strengthening the neural functional connections between cortical regions and motor muscles (Lin et al, 2015;Morioka et al, 2018). As the motor function of stroke patients recovers, their CMC gradually strengthens and may even surpass the levels observed in healthy individuals (Zheng et al, 10.3389/fnhum.2024 (Hu et al, 2022).…”

Section: Rehabilitation Trainingmentioning

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

Section: Rehabilitation Trainingmentioning

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

show abstract

“…Stroke rehabilitation is based on plasticity of the nervous system. Repeated feedback stimulation during learning and training can strengthen the connections between neuronal synapses, thus helping to gradually repair, compensate, and reconstruct the cerebral cortex and other rehabilitation effects ( Morioka et al, 2018 ). The MI-BCI is an active interaction mode ( Jessica et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Motor imagery brain–computer interface rehabilitation system enhances upper limb performance and improves brain activity in stroke patients: A clinical study

Liao

2023

Front. Hum. Neurosci.

View full text Add to dashboard Cite

This study compared the efficacy of Motor Imagery brain-computer interface (MI-BCI) combined with physiotherapy and physiotherapy alone in ischemic stroke before and after rehabilitation training. We wanted to explore whether the rehabilitation effect of MI-BCI is affected by the severity of the patient’s condition and whether MI-BCI was effective for all patients. Forty hospitalized patients with ischemic stroke with motor deficits participated in this study. The patients were divided into MI and control groups. Functional assessments were performed before and after rehabilitation training. The Fugl-Meyer Assessment (FMA) was used as the primary outcome measure, and its shoulder and elbow scores and wrist scores served as secondary outcome measures. The motor assessment scale (MAS) was used to assess motor function recovery. We used non-contrast CT (NCCT) to investigate the influence of different types of middle cerebral artery high-density signs on the prognosis of ischemic stroke. Brain topographic maps can directly reflect the neural activity of the brain, so we used them to detect changes in brain function and brain topological power response after stroke. Compared the MI group and control group after rehabilitation training, better functional outcome was observed after MI-BCI rehabilitation, including a significantly higher probability of achieving a relevant increase in the Total FMA scores (MI = 16.70 ± 12.79, control = 5.34 ± 10.48), FMA shoulder and elbow scores (MI = 12.56 ± 6.37, control = 2.45 ± 7.91), FMA wrist scores (MI = 11.01 ± 3.48, control = 3.36 ± 5.79), the MAS scores (MI = 3.62 ± 2.48, control = 1.85 ± 2.89), the NCCT (MI = 21.94 ± 2.37, control = 17.86 ± 3.55). The findings demonstrate that MI-BCI rehabilitation training could more effectively improve motor function after upper limb motor dysfunction after stroke compared with routine rehabilitation training, which verifies the feasibility of active induction of neural rehabilitation. The severity of the patient’s condition may affect the rehabilitation effect of the MI-BCI system.

show abstract

Relationship between motor imagery ability and motor function of hemiplegic upper limbs and their use in stroke patients

Cited by 2 publications

References 0 publications

Influencing factors of corticomuscular coherence in stroke patients

Influencing factors of corticomuscular coherence in stroke patients

Motor imagery brain–computer interface rehabilitation system enhances upper limb performance and improves brain activity in stroke patients: A clinical study

Contact Info

Product

Resources

About