Functional Electrostimulation in Patients Affected by the Most Frequent Central Motor Neuron Disorders—A Scoping Review
Source abstract
Abstract
Post-stroke sequelae, spinal cord injury and multiple sclerosis are the most common and disabling diseases of upper motor neurons. These diseases cause functional limitations and prevent patients from performing activities of daily living. This review aims to identify the potential of functional electrical stimulation (FES) for locomotor rehabilitation and daily use in upper motor neuron diseases. A systematic search was conducted. For the search strategy, MeSH terms such as “stroke”, “functional electrical stimulus*” and “FES”, “post-stroke”, “multiple sclerosis”, and “spinal cord injury*” were used. Of the 2228 papers from the raw search results, 14 articles were analyzed after inclusion and exclusion criteria were applied. Only four articles were randomized clinical trials, but with low numbers of participants. RehaMove, Microstim and STIWELL were reported in three independent studies, whereas Odstock was used in four articles. The results of the studies were very heterogeneous, although for lower extremity stimulation (11 out of 14 papers), walking speed was reported only in 6. Berg Balance Scale, Timed Up and Go, Functional Ambulation Category, 6-Minute Walk Test, 10-Meter Walk Test, Fugl-Meyer Assessment, Motricity Index and Action Research Arm Test were reported for functional assessment. For clinical assessment, the Modified Barthel Index, the Rivermead Mobility Index and the Stroke Impact Scale were used. Four studies were spread over 6 months, two investigated the effects of FES during one session, and the other eight were conducted for 3 to 8 weeks. Improvements were reported related to gait speed, functional ambulation, hand agility and range of motion. FES can be considered for large-scale use as a neuroprosthesis in upper neuron motor syndromes, especially in patients with impaired gait patterns. Further research should focus on the duration of the studies and the homogeneity of the reported results and assessment scales, but also on improvements to devices, accessibility and quality of life.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Muscle activation and electromyography studies · Stroke Rehabilitation and Recovery · Neuroscience and Neural Engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Medicine, Transilvania University of Brasov, 500036 Brasov, Romania
Faculty of Economic Sciences and Business Administration, Transilvania University of Brasov, 500036 Brasov, Romania
References (51)
Show source-provided references
1. Stroke Alliance for Europe (2022, May 12). The Burden of Stroke in Europe. Available online: https://www.stroke.org.uk/sites/default/files/the_burden_of_stroke_in_europe_-_challenges_for_policy_makers.pdf.
2. Prevention, management, and rehabilitation of stroke in low-and middle-income countries10.1016/j.ensci.2016.02.011 ↗
3. Temporal and geographic trends in the global stroke epidemic
4. Madubuko, A.N. (2018). Stroke Risk Factor Knowledge, Attitude, Prevention Practices, and Stroke. [Ph.D. Thesis, Walden University]. Available online: https://scholarworks.waldenu.edu/dissertations/4973.
5. Access to and delivery of acute ischaemic stroke treatments: A survey of national scientific societies and stroke experts in 44 European countries10.1177/2396987318786023 ↗
6. The longitudinal evolution of cerebral blood flow regulation after acute ischaemic stroke10.1159/000366017 ↗
7. Finding an optimal rehabilitation paradigm after stroke: Enhancing fiber growth and training of the brain at the right moment10.3389/fnhum.2014.00381 ↗
8. Induction of neuroplasticity and recovery in post-stroke aphasia by non-invasive brain stimulation10.3389/fnhum.2013.00888 ↗
9. A critical time window for recovery extends beyond one-year post-stroke10.1152/jn.00762.2018 ↗
10. Miclaus, R.S., Roman, N., Henter, R., and Caloian, S. (2021). Lower Extremity Rehabilitation in Patients with Post-Stroke Sequelae through Virtual Reality Associated with Mirror Therapy. Int. J. Environ. Res. Public Health, 18.10.3390/ijerph18052654 ↗
11. Zeng, Y., Long, C., Zhao, W., and Liu, J. (2022). Predicting the Severity of Neurological Impairment Caused by Ischemic Stroke Using Deep Learning Based on Diffusion-Weighted Images. J. Clin. Med., 11.10.3390/jcm11144008 ↗
12. Bennett, T., Kumar, P., and Garate, V.R. (2022). A Machine Learning Model for Predicting Sit-to-Stand Trajectories of People with and without Stroke: Towards Adaptive Robotic Assistance. Sensors, 22.10.3390/s22134789 ↗
13. Yazdani, M., Chitsaz, A., Zolaktaf, V., Saadatnia, M., Ghasemi, M., Nazari, F., Chitsaz, A., Suzuki, K., and Nobari, H. (2022). Can Early Neuromuscular Rehabilitation Protocol Improve Disability after a Hemiparetic Stroke? A Pilot Study. Brain Sci., 12.10.3390/brainsci12070816 ↗
14. Combining evidence from four immune cell types identifies DNA methylation patterns that implicate functionally distinct pathways during Multiple Sclerosis progression10.1016/j.ebiom.2019.04.042 ↗
15. Hypermethylation of MIR21 in CD4+ T cells from patients with relapsing-remitting multiple sclerosis associates with lower miRNA-21 levels and concomitant up-regulation of its target genes10.1177/1352458517721356 ↗
16. Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis10.1186/s12984-020-00798-9 ↗
17. Open Access: The Effect of Neurorehabilitation on Multiple Sclerosis-Unlocking the Resting-State fMRI Data10.3389/fnins.2021.662784 ↗
18. Nay, K., Smiles, W.J., Kaiser, J., McAloon, L.M., Loh, K., Galic, S., Oakhill, J.S., Gundlach, A.L., and Scott, J.W. (2021). Molecular Mechanisms Underlying the Beneficial Effects of Exercise on Brain Function and Neurological Disorders. Int. J. Mol. Sci., 22.10.3390/ijms22084052 ↗
19. Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs10.1109/TNSRE.2020.3001990 ↗
20. Choi, I., Kwon, G.H., Lee, S., and Nam, C.S. (2020). Functional Electrical Stimulation Controlled by Motor Imagery Brain-Computer Interface for Rehabilitation. Brain Sci., 10.10.3390/brainsci10080512 ↗
21. Differences in neuroplasticity after spinal cord injury in varying animal models and humans10.4103/1673-5374.243694 ↗
22. Gait training after spinal cord injury: Safety, feasibility and gait function following 8 weeks of training with the exoskeletons from Ekso Bionics10.1038/s41393-017-0013-7 ↗
23. Influence of percentage of body-weight support on gait in patients with traumatic incomplete spinal cord injury10.1186/s41983-019-0076-9 ↗
24. Respiratory function, functional capacity, and physical activity behaviours in children and adolescents with scoliosis10.1177/0300060519895093 ↗
25. Functional electrical stimulation for foot drop in people with multiple sclerosis: The relevance and importance of addressing quality of movement10.1177/1352458520923958 ↗
26. Clinical Benefit of Rehabilitation Training in Spinal Cord Injury: A Systematic Review and Meta-Analysis10.1097/BRS.0000000000003789 ↗
27. A Review of Functional Electrical Stimulation Treatment in Spinal Cord Injury10.1007/s12017-019-08589-9 ↗
28. Changes in leg cycling muscle synergies after training augmented by functional electrical stimulation in subacute stroke survivors: A pilot study10.1186/s12984-020-00662-w ↗
29. Influence of functional electrical stimulation of the hamstrings on knee kinematics in stroke survivors walking with stiff knee gait10.2340/16501977-2367 ↗
30. Ankle exercise with functional electrical stimulation affects spasticity and balance in stroke patients10.12965/jer.2040780.390 ↗
31. A Randomized Clinical Trial of a Functional Electrical Stimulation Mimic to Gait Promotes Motor Rehabilitation and Brain Remodeling in Acute Stroke10.1155/2018/8923520 ↗
32. A Three-Site Clinical Feasibility Study of a Flexible Functional Electrical Stimulation System to Support Functional Task Practice for Upper Limb Rehabilitation in People with Stroke10.3389/fneur.2019.00227 ↗
33. Concurrent impact of bilateral multiple joint functional electrical stimulation and treadmill walking on gait and spasticity in post-stroke survivors: A pilot study10.1080/09593985.2019.1685035 ↗
34. Schick, T., Kolm, D., Leitner, A., Schober, S., Steinmetz, M., and Fheodoroff, K. (2022). Efficacy of Four-Channel Functional Electrical Stimulation on Moderate Arm Paresis in Subacute Stroke Patients—Results from a Randomized Controlled Trial. Healthcare, 10.10.3390/healthcare10040704 ↗
35. Cardiorespiratory demand of acute voluntary cycling with functional electrical stimulation in individuals with multiple sclerosis with severe mobility impairment10.1139/apnm-2017-0397 ↗
36. A cohort study of functional electrical stimulation in people with multiple sclerosis demonstrating improvements in quality of life and cost-effectiveness10.1177/0269215519837326 ↗
37. A comparison of the initial orthotic effects of functional electrical stimulation and ankle-foot orthoses on the speed and oxygen cost of gait in multiple sclerosis
38. Automated FES for Upper Limb Rehabilitation Following Stroke and Spinal Cord Injury10.1109/TNSRE.2018.2816238 ↗
39. A clinically meaningful training effect in walking speed using functional electrical stimulation for motor-incomplete spinal cord injury10.1080/10790268.2017.1392106 ↗
40. Comparison of transcutaneous electrical nerve stimulation (TENS) and functional electrical stimulation (FES) for spasticity in spinal cord injury–A pilot randomized cross-over trial10.1080/10790268.2017.1390930 ↗
41. Casabona, A., Valle, M.S., Dominante, C., Laudani, L., Onesta, M.P., and Cioni, M. (2021). Effects of Functional Electrical Stimulation Cycling of Different Duration on Viscoelastic and Electromyographic Properties of the Knee in Patients with Spinal Cord Injury. Brain Sci., 11.10.3390/brainsci11010007 ↗
42. Neurological recovery following traumatic spinal cord injury: A systematic review and meta-analysis10.3171/2018.10.SPINE18802 ↗
43. Hand dexterity rehabilitation using selective functional electrical stimulation in a person with stroke10.1136/bcr-2021-242807 ↗
44. Amaricai, E., Onofrei, R.R., Suciu, O., Marcauteanu, C., Stoica, E.T., Negruțiu, M.L., David, V.L., and Sinescu, C. (2020). Do different dental conditions influence the static plantar pressure and stabilometry in young adults?. PLoS ONE, 15.10.1371/journal.pone.0228816 ↗
45. Optimal Method of Electrical Stimulation for the Treatment of Upper Limb Dysfunction After Stroke: A Systematic Review and Bayesian Network Meta-Analysis of Randomized Controlled Trials10.2147/NDT.S332967 ↗
46. Does cycling induced by functional electrical stimulation enhance motor rehabilitation in the subacute phase after stroke? A systematic review and meta-analysis10.1177/0269215520938423 ↗
47. De Almeida, T.F., Borges, L.H.B., and Dantas, A.F.O.D.A. (2022). Development of an IoT Electrostimulator with Closed-Loop Control. Sensors, 22.10.3390/s22093551 ↗
48. Ciortea, V.M., Motoașcă, I., Borda, I.M., Ungur, R.A., Bondor, C.I., Iliescu, M.G., Ciubean, A.D., Lazăr, I., Bendea, E., and Irsay, L. (2022). Effects of High-Intensity Electromagnetic Stimulation on Reducing Upper Limb Spasticity in Post-Stroke Patients. Appl. Sci., 12.10.3390/app12042125 ↗
49. Schicketmueller, A., Rose, G., and Hofmann, M. (2019). Feasibility of a Sensor-Based Gait Event Detection Algorithm for Triggering Functional Electrical Stimulation during Robot-Assisted Gait Training. Sensors, 19.10.3390/s19214804 ↗
50. Rezaee, Z., Kaura, S., Solanki, D., Dash, A., Srivastava, M.V.P., Lahiri, U., and Dutta, A. (2020). Deep Cerebellar Transcranial Direct Current Stimulation of the Dentate Nucleus to Facilitate Standing Balance in Chronic Stroke Survivors—A Pilot Study. Brain Sci., 10.10.3390/brainsci10020094 ↗
51. Rossi, F., Savi, F., Prestia, A., Mongardi, A., Demarchi, D., and Buccino, G. (2021). Combining Action Observation Treatment with a Brain–Computer Interface System: Perspectives on Neurorehabilitation. Sensors, 21.10.3390/s21248504 ↗