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Kueper N, Kim SK, Kirchner EA. Avoidance of specific calibration sessions in motor intention recognition for exoskeleton-supported rehabilitation through transfer learning on EEG data. Sci Rep 2024; 14:16690. [PMID: 39030206 DOI: 10.1038/s41598-024-65910-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 06/25/2024] [Indexed: 07/21/2024] Open
Abstract
Exoskeleton-based support for patients requires the learning of individual machine-learning models to recognize movement intentions of patients based on the electroencephalogram (EEG). A major issue in EEG-based movement intention recognition is the long calibration time required to train a model. In this paper, we propose a transfer learning approach that eliminates the need for a calibration session. This approach is validated on healthy subjects in this study. We will use the proposed approach in our future rehabilitation application, where the movement intention of the affected arm of a patient can be inferred from the EEG data recorded during bilateral arm movements enabled by the exoskeleton mirroring arm movements from the unaffected to the affected arm. For the initial evaluation, we compared two trained models for predicting unilateral and bilateral movement intentions without applying a classifier transfer. For the main evaluation, we predicted unilateral movement intentions without a calibration session by transferring the classifier trained on data from bilateral movement intentions. Our results showed that the classification performance for the transfer case was comparable to that in the non-transfer case, even with only 4 or 8 EEG channels. Our results contribute to robotic rehabilitation by eliminating the need for a calibration session, since EEG data for training is recorded during the rehabilitation session, and only a small number of EEG channels are required for model training.
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Affiliation(s)
- Niklas Kueper
- Robotics Innovation Center, German Research Center for Artificial Intelligence (DFKI), 28359, Bremen, Germany
| | - Su Kyoung Kim
- Robotics Innovation Center, German Research Center for Artificial Intelligence (DFKI), 28359, Bremen, Germany
| | - Elsa Andrea Kirchner
- Robotics Innovation Center, German Research Center for Artificial Intelligence (DFKI), 28359, Bremen, Germany.
- Institute of Medical Technology Systems, University of Duisburg-Essen, 47057, Duisburg, Germany.
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Chang JY, Chun MH, Lee A, Lee A, Lee CM. Effects of training with a rehabilitation device (Rebless®) on upper limb function in patients with chronic stroke: A randomized controlled trial. Medicine (Baltimore) 2024; 103:e38753. [PMID: 38941364 DOI: 10.1097/md.0000000000038753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/30/2024] Open
Abstract
BACKGROUND Upper limb dysfunction is one of the most common sequelae of stroke and robotic therapy is considered one of the promising methods for upper limb rehabilitation. OBJECTIVE This study aimed to explore the clinical effectiveness of upper limb training using a rehabilitation robotic device (Rebless®) for patients with stroke. METHODS In this prospective, unblinded, randomized controlled trial, patients were randomly assigned to receive robotic training (experimental group, n = 15) or conventional therapy (control group, n = 15). Both groups received upper limb training lasting for 30 minutes per session with a total of 10 training sessions within 4 weeks. Motor function, functional evaluation, and spasticity were clinically assessed before and after the training. Cortical activation was measured using functional near-infrared spectroscopy at the 1st and 10th training sessions. RESULTS The experimental group demonstrated a significant improvement in the Fugl-Meyer assessment-upper extremity score and the modified Ashworth scale grade in elbow flexors. The cortical activity of the unaffected hemisphere significantly decreased after 10 training sessions in the experimental group compared with the control group. CONCLUSIONS The experimental group showed significant improvement in the Fugl-Meyer assessment-upper extremity score and spasticity of elbow flexors and had significantly decreased cortical activity of the unaffected hemisphere. Training with Rebless® may help patients with chronic stroke in restoring upper limb function and recovering the contralateral predominance of activation in motor function.
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Affiliation(s)
- Jong Yoon Chang
- Department of Rehabilitation Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Min Ho Chun
- Department of Rehabilitation Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Anna Lee
- Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Ahro Lee
- Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Chang Min Lee
- Research Institute of Future City and Society, Yonsei University, Seoul, Republic of Korea
- PlayIdeaLab Incorporation, Seoul, Republic of Korea
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Nath D, Singh N, Saini M, Banduni O, Kumar N, Srivastava MVP, Mehndiratta A. Clinical potential and neuroplastic effect of targeted virtual reality based intervention for distal upper limb in post-stroke rehabilitation: a pilot observational study. Disabil Rehabil 2024; 46:2640-2649. [PMID: 37383015 DOI: 10.1080/09638288.2023.2228690] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/18/2023] [Indexed: 06/30/2023]
Abstract
PURPOSE A library of Virtual Reality (VR) tasks has been developed for targeted post-stroke rehabilitation of distal upper extremities. The objective of this pilot study was to evaluate the clinical potential of the targeted VR-based therapeutic intervention in a small cohort of patients specifically with chronic stroke. Furthermore, our aim was to explore the possible neuronal reorganizations in corticospinal pathways in response to the distal upper limb targeted VR-intervention. METHODOLOGY Five patients with chronic stroke were enrolled in this study and were given VR-intervention of 20 sessions of 45 min each. Clinical Scales, cortical-excitability measures (using Transcranial Magnetic Stimulation): Resting Motor Threshold (RMT), and Motor Evoked Potential (MEP) amplitude, task-specific performance metrics i.e., Time taken to complete the task (TCT), smoothness of trajectory, relative % error were evaluated pre- and post-intervention to evaluate the intervention-induced improvements. RESULTS Pre-to post-intervention improvements were observed in Fugl-Meyer Assessment (both total and wrist/hand component), Modified Barthel Index, Stroke Impact Scale, Motor Assessment Scale, active range of motion at wrist, and task-specific outcome metrics. Pre-to post-intervention ipsilesional RMT reduced (mean ∼9%) and MEP amplitude increased (mean ∼29µV), indicating increased cortical excitability at post-intervention. CONCLUSION VR-training exhibited improved motor outcomes and cortical-excitability in patients with stroke. Neurophysiological changes observed in terms of improved cortical-excitability might be a consequence of plastic reorganization induced by VR-intervention.
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Affiliation(s)
- Debasish Nath
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi, India
| | - Neha Singh
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi, India
| | - Megha Saini
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi, India
| | - Onika Banduni
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi, India
| | - Nand Kumar
- Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - M V Padma Srivastava
- Department of Neurology, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Amit Mehndiratta
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi, India
- Department of Biomedical Engineering, All India Institute of Medical Sciences (AIIMS), New Delhi, India
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Vora I, Gochyyev P, Engineer N, Wolf SL, Kimberley TJ. Distal Versus Proximal Arm Improvement After Paired Vagus Nerve Stimulation Therapy After Chronic Stroke. Arch Phys Med Rehabil 2024:S0003-9993(24)01014-1. [PMID: 38815953 DOI: 10.1016/j.apmr.2024.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 05/15/2024] [Accepted: 05/19/2024] [Indexed: 06/01/2024]
Abstract
OBJECTIVE To evaluate differences in upper-extremity (UE) segment-specific (proximal or distal segment) recovery after vagus nerve stimulation (VNS) paired with UE rehabilitation (Paired-VNS) compared with rehabilitation with sham-VNS (Control). We also assessed whether gains in specific UE segments predicted clinically meaningful improvement. DESIGN This study reports on a secondary analysis of Vagus nerve stimulation paired with rehabilitation for UE motor function after chronic ischemic stroke (VNS-REHAB), a randomized, triple-blinded, sham-controlled pivotal trial. A Rasch latent regression was used to determine differences between Paired-VNS and Controls for distal and proximal UE changes after in-clinic therapy and 3 months later. Subsequently, we ran a random forest model to assess candidate predictors of meaningful improvement. Each item of the Fugl-Meyer Assessment-Upper Extremity (FMA-UE) and Wolf Motor Function Test (WMFT) was evaluated as a predictor of response to treatment. SETTING Nineteen stroke rehabilitation centers in the USA and UK. PARTICIPANTS Dataset included 108 participants (N=108) with chronic ischemic stroke and moderate-to-severe UE impairments. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES FMA-UE and WMFT. RESULTS Distal UE improvement was significantly greater in the Paired-VNS group than in Controls immediately after therapy (95% confidence interval, 0.27-0.73; P≤.001) and after 3 months (95% confidence interval, 0.16-0.75; P=.003). Both groups showed similar improvement in proximal UE at both time points. A subset of both distal and proximal items from the FMA-UE and WMFT were predictors of meaningful improvement. CONCLUSIONS Paired-VNS improved distal UE impairment in chronic stroke to a greater degree than intensive rehabilitation alone. Proximal improvements were equally responsive to either treatment. Given that meaningful UE recovery is predicted by improvements across both proximal and distal segments, Paired-VNS may facilitate improvement that is otherwise elusive.
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Affiliation(s)
- Isha Vora
- Department of Rehabilitation Science, School of Health and Rehabilitation Sciences, MGH Institute of Health Professions, Boston, MA
| | - Perman Gochyyev
- Department of Rehabilitation Science, School of Health and Rehabilitation Sciences, MGH Institute of Health Professions, Boston, MA; Berkeley Evaluation and Assessment Research Center, University of California, Berkeley, Berkeley, CA
| | | | - Steven L Wolf
- Division of Physical Therapy, Center for Physical Therapy and Movement Science, Department of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA
| | - Teresa J Kimberley
- Department of Rehabilitation Science, School of Health and Rehabilitation Sciences, MGH Institute of Health Professions, Boston, MA; Department of Physical Therapy, School of Health and Rehabilitation Sciences, MGH Institute of Health Professions, Boston, MA.
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Shenbagam M, Kamatham AT, Vijay P, Salimath S, Patwardhan S, Sikdar S, Kataria C, Mukherjee B. A Sonomyography-Based Muscle Computer Interface for Individuals With Spinal Cord Injury. IEEE J Biomed Health Inform 2024; 28:2713-2722. [PMID: 38285571 DOI: 10.1109/jbhi.2024.3359483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2024]
Abstract
Impairment of hand functions in individuals with spinal cord injury (SCI) severely disrupts activities of daily living. Recent advances have enabled rehabilitation assisted by robotic devices to augment the residual function of the muscles. Traditionally, electromyography-based muscle activity sensing interfaces have been utilized to sense volitional motor intent to drive robotic assistive devices. However, the dexterity and fidelity of control that can be achieved with electromyography-based control have been limited due to inherent limitations in signal quality. We have developed and tested a muscle-computer interface (MCI) utilizing sonomyography to provide control of a virtual cursor for individuals with motor-incomplete spinal cord injury. We demonstrate that individuals with SCI successfully gained control of a virtual cursor by utilizing contractions of muscles of the wrist joint. The sonomyography-based interface enabled control of the cursor at multiple graded levels demonstrating the ability to achieve accurate and stable endpoint control. Our sonomyography-based muscle-computer interface can enable dexterous control of upper-extremity assistive devices for individuals with motor-incomplete SCI.
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Wang CC, Hu TM, Lin YJ, Chen CL, Hsu YC, Kao CL. Use of noninvasive brain stimulation and neurorehabilitation devices to enhance poststroke recovery: review of the current evidence and pitfalls. J Int Med Res 2024; 52:3000605241238066. [PMID: 38603599 PMCID: PMC11010770 DOI: 10.1177/03000605241238066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 02/22/2024] [Indexed: 04/13/2024] Open
Abstract
Neurorehabilitation devices and technologies are crucial for enhancing stroke recovery. These include noninvasive brain stimulation devices that provide repetitive transcranial magnetic stimulation or transcranial direct current stimulation, which can remodulate an injured brain. Technologies such as robotics, virtual reality, and telerehabilitation are suitable add-ons or complements to physical therapy. However, the appropriate application of these devices and technologies, which target specific deficits and stages, for stroke therapy must be clarified. Accordingly, a literature review was conducted to evaluate the theoretical and practical evidence on the use of neurorehabilitation devices and technologies for stroke therapy. This narrative review provides a practical guide for the use of neurorehabilitation devices and describes the implications of use and potential integration of these devices into healthcare.
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Affiliation(s)
- Chien-Chih Wang
- Department of Physical Medicine and Rehabilitation, Taichung Veterans General Hospital, Taichung, Taiwan, ROC
- Department of Physical Medicine and Rehabilitation, School of Medicine, National Yang Ming Chao Tung University, Taipei, Taiwan, ROC
- Intelligent Long Term Medical Care Research Center, Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan, ROC
| | - Tsung-Ming Hu
- Department of Future Studies and LOHAS Industry, Fo Guang University, Yilan, Taiwan, ROC
- Department of Psychiatry, Taipei Veterans General Hospital Yuli Branch, Hualien, Taiwan, ROC
| | - Yung-Jie Lin
- Department of Family Medicine, Taipei Veterans General Hospital Yuli Branch, Hualien, Taiwan, ROC
| | - Chien-Lung Chen
- Taipei Hospital, Ministry of Health and Welfare, Taipei, Taiwan, ROC
- National Yang Ming Chao Tung University, Institute of Hospital and Health Care Administration, Taipei Taiwan, ROC
| | - Yu-Chuan Hsu
- Department of Nursing, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Chung-Lan Kao
- Department of Physical Medicine and Rehabilitation, School of Medicine, National Yang Ming Chao Tung University, Taipei, Taiwan, ROC
- Department of Physical Medicine and Rehabilitation, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Institute of Clinical Medicine, National Yang Ming Chao Tung University, Taipei, Taiwan, ROC
- Center For Intelligent Drug Systems and Smart Bio-devices (IDS2B), National Chiao Tung University, Hsinchu, Taiwan, ROC
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Liu Y, Li Y, Zhang Z, Huo B, Dong A. Quantitative evaluation of motion compensation in post-stroke rehabilitation training based on muscle synergy. Front Bioeng Biotechnol 2024; 12:1375277. [PMID: 38515620 PMCID: PMC10955434 DOI: 10.3389/fbioe.2024.1375277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 02/20/2024] [Indexed: 03/23/2024] Open
Abstract
Introduction: Stroke is the second leading cause of death globally and a primary factor contributing to disability. Unilateral limb motor impairment caused by stroke is the most common scenario. The bilateral movement pattern plays a crucial role in assisting stroke survivors on the affected side to relearn lost skills. However, motion compensation often lead to decreased coordination between the limbs on both sides. Furthermore, muscle fatigue resulting from imbalanced force exertion on both sides of the limbs can also impact the rehabilitation outcomes. Method: In this study, an assessment method based on muscle synergy indicators was proposed to objectively quantify the impact of motion compensation issues on rehabilitation outcomes. Muscle synergy describes the body's neuromuscular control mechanism, representing the coordinated activation of multiple muscles during movement. 8 post-stroke hemiplegia patients and 8 healthy subjects participated in this study. During hand-cycling tasks with different resistance levels, surface electromyography signals were synchronously collected from these participants before and after fatigue. Additionally, a simulated compensation experiment was set up for healthy participants to mimic various hemiparetic states observed in patients. Results and discussion: Synergy symmetry and synergy fusion were chosen as potential indicators for assessing motion compensation. The experimental results indicate significant differences in synergy symmetry and fusion levels between the healthy control group and the patient group (p ≤ 0.05), as well as between the healthy control group and the compensation group. Moreover, the analysis across different resistance levels showed no significant variations in the assessed indicators (p > 0.05), suggesting the utility of synergy symmetry and fusion indicators for the quantitative evaluation of compensation behaviors. Although muscle fatigue did not significantly alter the symmetry and fusion levels of bilateral synergies (p > 0.05), it did reduce the synergy repeatability across adjacent movement cycles, compromising movement stability and hindering patient recovery. Based on synergy symmetry and fusion indicators, the degree of bilateral motion compensation in patients can be quantitatively assessed, providing personalized recommendations for rehabilitation training and enhancing its effectiveness.
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Affiliation(s)
- Yanhong Liu
- School of Electrical and Informatic Engineering, Zhengzhou University, Zhengzhou, China
| | - Yaowei Li
- School of Electrical and Informatic Engineering, Zhengzhou University, Zhengzhou, China
| | - Zan Zhang
- School of Electrical and Informatic Engineering, Zhengzhou University, Zhengzhou, China
| | - Benyan Huo
- School of Electrical and Informatic Engineering, Zhengzhou University, Zhengzhou, China
| | - Anqin Dong
- The Rehabilitation Department, Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Hong R, Li B, Bao Y, Liu L, Jin L. Therapeutic robots for post-stroke rehabilitation. MEDICAL REVIEW (2021) 2024; 4:55-67. [PMID: 38515779 PMCID: PMC10954296 DOI: 10.1515/mr-2023-0054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 01/25/2024] [Indexed: 03/23/2024]
Abstract
Stroke is a prevalent, severe, and disabling health-care issue on a global scale, inevitably leading to motor and cognitive deficits. It has become one of the most significant challenges in China, resulting in substantial social and economic burdens. In addition to the medication and surgical interventions during the acute phase, rehabilitation treatment plays a crucial role in stroke care. Robotic technology takes distinct advantages over traditional physical therapy, occupational therapy, and speech therapy, and is increasingly gaining popularity in post-stroke rehabilitation. The use of rehabilitation robots not only alleviates the workload of healthcare professionals but also enhances the prognosis for specific stroke patients. This review presents a concise overview of the application of therapeutic robots in post-stroke rehabilitation, with particular emphasis on the recovery of motor and cognitive function.
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Affiliation(s)
- Ronghua Hong
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Bingyu Li
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Yunjun Bao
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Lingyu Liu
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Lingjing Jin
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- Collaborative Innovation Center for Brain Science, Tongji University, Shanghai, China
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Alashram AR. Effects of robotic therapy associated with noninvasive brain stimulation on motor function in individuals with incomplete spinal cord injury: A systematic review of randomized controlled trials. J Spinal Cord Med 2024:1-16. [PMID: 38265422 DOI: 10.1080/10790268.2024.2304921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024] Open
Abstract
CONTEXT Motor deficits are among the most common consequences of incomplete spinal cord injury (SCI). These impairments can affect patients' levels of functioning and quality of life. Combined robotic therapy and non-invasive brain stimulation (NIBS) have been used to improve motor impairments in patients with corticospinal tract lesions. OBJECTIVES To examine the effects of combined robotic therapy and NIBS on motor function post incomplete SCI. METHODS PubMed, SCOPUS, MEDLINE, PEDro, Web of Science, REHABDATA, CINAHL, and EMBASE were searched from inception until July 2023. The Physiotherapy Evidence Database (PEDro) scale was employed to evaluate the selected studies quality. RESULTS Of 557 studies, five randomized trials (n = 122), with 25% of participants being females, were included in this review. The PEDro scores ranged from eight to nine, with a median score of nine. There were variations in treatment protocols and outcome measures, resulting in heterogeneous findings. The findings showed revealed evidence for the impacts of combined robotic therapy and NIBS on motor function in individuals with incomplete SCI. CONCLUSIONS Combined robotic training and NIBS may be safe for individuals with incomplete SCI. The existing evidence concerning its effects on motor outcomes in individuals with SCI is limited. Further experimental studies are needed to understand the effects of combined robotic training and NIBS on motor impairments in SCI populations.
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Affiliation(s)
- Anas R Alashram
- Department of Physiotherapy, Middle East University, Amman, Jordan
- Applied Science Research Center, Applied Science Private University, Amman, Jordan
- Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, Rome, Italy
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Ti CHE, Hu C, Yuan K, Chu WCW, Tong RKY. Uncovering the Neural Mechanisms of Inter-Hemispheric Balance Restoration in Chronic Stroke Through EMG-Driven Robot Hand Training: Insights From Dynamic Causal Modeling. IEEE Trans Neural Syst Rehabil Eng 2024; 32:1-11. [PMID: 38051622 DOI: 10.1109/tnsre.2023.3339756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
EMG-driven robot hand training can facilitate motor recovery in chronic stroke patients by restoring the interhemispheric balance between motor networks. However, the underlying mechanisms of reorganization between interhemispheric regions remain unclear. This study investigated the effective connectivity (EC) between the ventral premotor cortex (PMv), supplementary motor area (SMA), and primary motor cortex (M1) using Dynamic Causal Modeling (DCM) during motor tasks with the paretic hand. Nineteen chronic stroke subjects underwent 20 sessions of EMG-driven robot hand training, and their Action Reach Arm Test (ARAT) showed significant improvement ( β =3.56, [Formula: see text]). The improvement was correlated with the reduction of inhibitory coupling from the contralesional M1 to the ipsilesional M1 (r=0.58, p=0.014). An increase in the laterality index was only observed in homotopic M1, but not in the premotor area. Additionally, we identified an increase in resting-state functional connectivity (FC) between bilateral M1 ( β =0.11, p=0.01). Inter-M1 FC demonstrated marginal positive relationships with ARAT scores (r=0.402, p=0.110), but its changes did not correlate with ARAT improvements. These findings suggest that the improvement of hand functions brought about by EMG-driven robot hand training was driven explicitly by task-specific reorganization of motor networks. Particularly, the restoration of interhemispheric balance was induced by a reduction in interhemispheric inhibition from the contralesional M1 during motor tasks of the paretic hand. This finding sheds light on the mechanistic understanding of interhemispheric balance and functional recovery induced by EMG-driven robot training.
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Hsu HY, Koh CL, Yang KC, Lin YC, Hsu CH, Su FC, Kuo LC. Effects of an assist-as-needed equipped Tenodesis-Induced-Grip Exoskeleton Robot (TIGER) on upper limb function in patients with chronic stroke. J Neuroeng Rehabil 2024; 21:5. [PMID: 38173006 PMCID: PMC10765635 DOI: 10.1186/s12984-023-01298-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 12/19/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND The original version of the Tenodesis-Induced-Grip Exoskeleton Robot (TIGER) significantly improved the motor and functional performance of the affected upper extremity of chronic stroke patients. The assist-as-needed (AAN) technique in robot-involved therapy is widely favored for promoting patient active involvement, thereby fostering motor recovery. However, the TIGER lacked an AAN control strategy, which limited its use in different clinical applications. The present study aimed to develop and analyze the training effects of an AAN control mode to be integrated into the TIGER, to analyze the impact of baseline patient characteristics and training paradigms on outcomes for individuals with chronic stroke and to compare training effects on the upper limb function between using the AAN-equipped TIGER and using the original prototype. METHODS This was a single-arm prospective interventional study which was conducted at a university hospital. In addition to 20 min of regular task-specific motor training, each participant completed a 20-min robotic training program consisting of 10 min in the AAN control mode and 10 min in the functional mode. The training sessions took place twice a week for 9 weeks. The primary outcome was the change score of the Fugl-Meyer Assessment of the Upper Extremity (FMA-UE), and the secondary outcomes were the change score of the Box and Blocks Test (BBT), the amount of use (AOU) and quality of movement (QOM) scales of the Motor Activity Log (MAL), the Semmes-Weinstein Monofilament (SWM) test, and the Modified Ashworth Scale (MAS) for fingers and wrist joints. The Generalized Estimating Equations (GEE) and stepwise regression model were used as the statistical analysis methods. RESULTS Sixteen chronic stroke patients completed all steps of the study. The time from stroke onset to entry into the trial was 21.7 ± 18.9 months. After completing the training with the AAN-equipped TIGER, they exhibited significant improvements in movement reflected in their total score (pre/post values were 34.6 ± 11.5/38.5 ± 13.4) and all their sub-scores (pre/post values were 21.5 ± 6.0/23.3 ± 6.5, 9.5 ± 6.2/11.3 ± 7.2, and 3.6 ± 1.0/3.9 ± 1.0 for the shoulder, elbow, and forearm sub-category, the wrist and hand sub-category, and the coordination sub-category, respectively) on the FMA-UE (GEE, p < 0.05), as well as their scores on the BBT (pre/post values were 5.9 ± 6.5/9.5 ± 10.1; GEE, p = 0.004) and the AOU (pre/post values were 0.35 ± 0.50/0.48 ± 0.65; GEE, p = 0.02). However, the original TIGER exhibited greater improvements in their performance on the FMA-UE than the participants training with the AAN-equipped TIGER (GEE, p = 0.008). The baseline score for the wrist and hand sub-category of the FMA-UE was clearly the best predictor of TIGER-mediated improvements in hand function during the post-treatment assessment (adjusted R2 = 0.282, p = 0.001). CONCLUSIONS This study developed an AAN-equipped TIGER system and demonstrated its potential effects on improving both the function and activity level of the affected upper extremity of patients with stroke. Nevertheless, its training effects were not found to be advantageous to the original prototype. The baseline score for the FMA-UE sub-category of wrist and hand was the best predictor of improvements in hand function after TIGER rehabilitation. Clinical trial registration ClinicalTrials.gov, identifier NCT03713476; date of registration: October19, 2018. https://clinicaltrials.gov/ct2/show/NCT03713476.
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Affiliation(s)
- Hsiu-Yun Hsu
- Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Occupational Therapy, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan
| | - Chia-Lin Koh
- Department of Occupational Therapy, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan
| | - Kang-Chin Yang
- Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Ching Lin
- Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Physical Medicine and Rehabilitation, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chieh-Hsiang Hsu
- Department of Occupational Therapy, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan
- Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan
| | - Fong-Chin Su
- Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan
- Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan
| | - Li-Chieh Kuo
- Department of Occupational Therapy, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan.
- Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan.
- Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan.
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12
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Kim SH, Ji DM, Hwang IS, Ryu J, Jin S, Kim SA, Kim MS. Three-Dimensional Magnetic Rehabilitation, Robot-Enhanced Hand-Motor Recovery after Subacute Stroke: A Randomized Controlled Trial. Brain Sci 2023; 13:1685. [PMID: 38137133 PMCID: PMC10742112 DOI: 10.3390/brainsci13121685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 12/02/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023] Open
Abstract
We developed an end-effector-type rehabilitation robot that can uses electro- and permanent magnets to generate a three-way magnetic field to assist hand movements and perform rehabilitation therapy. This study aimed to investigate the therapeutic effect of a rehabilitation program using a three-dimensional (3D) magnetic force-based hand rehabilitation robot on the motor function recovery of the paralyzed hands of patients with stroke. This was a double-blind randomized controlled trial in which 36 patients with subacute stroke were assigned to intervention and control groups of 18 patients each. The intervention group received 30 min of rehabilitation therapy per day for a month using a 3D magnetic force-driven hand rehabilitation robot, whereas the control group received 30 min of conventional occupational therapy to restore upper-limb function. The patients underwent three behavioral assessments at three time points: before starting treatment (T0), after 1 month of treatment (T1), and at the follow-up 1-month after treatment completion (T2). The primary outcome measure was the Wolf Motor Function Test (WMFT), and secondary outcome measures included the Fugl-Meyer Assessment of the Upper Limb (FMA_U), Modified Barthel Index (MBI), and European Quality of Life Five Dimensions (EQ-5D) questionnaire. No participant safety issues were reported during the intervention. Analysis using repeated measures analysis of variance showed significant interaction effects between time and group for both the WMFT score (p = 0.012) and time (p = 0.010). In post hoc analysis, the WMFT scores and time improved significantly more in the patients who received robotic rehabilitation at T1 than in the controls (p = 0.018 and p = 0.012). At T2, we also consistently found improvements in both the WMFT scores and times for the intervention group that were superior to those in the control group (p = 0.024 and p = 0.018, respectively). Similar results were observed for FMA_U, MBI, and EQ-5D. Rehabilitation using the 3D hand-rehabilitation robot effectively restored hand function in the patients with subacute stroke, contributing to improvement in daily independence and quality of life.
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Affiliation(s)
- Sung-Hoon Kim
- Department of Electronics & Information Engineering, Korea University, Sejong 30019, Republic of Korea;
| | - Dong-Min Ji
- Department of Electronics Convergence Engineering, Wonkwang University, Iksan 54538, Republic of Korea;
| | - In-Su Hwang
- Department of Rehabilitation Medicine, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea; (I.-S.H.); (J.R.); (S.J.); (S.-A.K.)
| | - Jinwhan Ryu
- Department of Rehabilitation Medicine, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea; (I.-S.H.); (J.R.); (S.J.); (S.-A.K.)
| | - Sol Jin
- Department of Rehabilitation Medicine, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea; (I.-S.H.); (J.R.); (S.J.); (S.-A.K.)
| | - Soo-A Kim
- Department of Rehabilitation Medicine, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea; (I.-S.H.); (J.R.); (S.J.); (S.-A.K.)
| | - Min-Su Kim
- Department of Rehabilitation Medicine, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea; (I.-S.H.); (J.R.); (S.J.); (S.-A.K.)
- Department of Regenerative Medicine, College of Medicine, Soonchunhyang University, Cheonan 31151, Republic of Korea
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13
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Lim DYL, Lai HS, Yeow RCH. A bidirectional fabric-based soft robotic glove for hand function assistance in patients with chronic stroke. J Neuroeng Rehabil 2023; 20:120. [PMID: 37735679 PMCID: PMC10512630 DOI: 10.1186/s12984-023-01250-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 09/13/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Chronic stroke patients usually experience reduced hand functions, impeding their ability to perform activities of daily living (ADLs) independently. Additionally, improvements in hand functions by physical therapy beyond six months after the initial onset of stroke are much slower than in the earlier months. As such, chronic stroke patients could benefit from an assistive device to enhance their hand functions, allowing them to perform ADLs independently daily. In recent years, soft robotics has provided a novel approach to assistive devices for motor impaired individuals, offering more compliant and lightweight alternatives to traditional robotic devices. The scope of this study is to demonstrate the viability of a fabric-based soft robotic (SR) glove with bidirectional actuators in assisting chronic stroke study participants with hand impairments in performing ADLs. METHODS Force and torque measurement tests were conducted to characterize the SR Glove, and hand functional tasks were given to eight chronic stroke patients to assess the efficacy of the SR Glove as an assistive device. The tasks involved object manipulation tasks that simulate ADLs, and the series of tasks was done by the participants once without assistance for baseline data, and once while using the SR Glove. A usability questionnaire was also given to each participant after the tasks were done to gain insight into how the SR Glove impacts their confidence and reliance on support while performing ADLs. RESULTS The SR Glove improved the participants' manipulation of objects in ADL tasks. The difference in mean scores between the unassisted and assisted conditions was significant across all participants. Additionally, the usability questionnaire showed the participants felt more confident and less reliant on support while using the SR Glove to perform ADLs than without the SR Glove. CONCLUSIONS The results from this study demonstrated that the SR Glove is a viable option to assist hand function in chronic stroke patients who suffer from hand motor impairments.
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Affiliation(s)
- Daniel Yuan-Lee Lim
- Evolution Innovation Lab, Advanced Robotics Centre, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore
| | - Hwa-Sen Lai
- Evolution Innovation Lab, Advanced Robotics Centre, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore
| | - Raye Chen-Hua Yeow
- Evolution Innovation Lab, Advanced Robotics Centre, National University of Singapore, Singapore, Singapore.
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.
- Computer Science & Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA.
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14
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Hildebrand MW, Geller D, Proffitt R. Occupational Therapy Practice Guidelines for Adults With Stroke. Am J Occup Ther 2023; 77:7705397010. [PMID: 37862268 DOI: 10.5014/ajot.2023.077501] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2023] Open
Abstract
IMPORTANCE Stroke is a leading cause of disability. Occupational therapy practitioners ensure maximum participation and performance in valued occupations for stroke survivors and their caregivers. OBJECTIVE These Practice Guidelines are meant to support occupational therapy practitioners' clinical decision making when working with people after stroke and their caregivers. METHOD Clinical recommendations were reviewed from three systematic review questions on interventions to improve performance and participation in daily activities and occupations and from one question on maintaining the caregiving role for caregivers of people after stroke. RESULTS The systematic reviews included 168 studies, 24 Level 1a, 90 Level 1b, and 54 Level 2b. These studies were used as the basis for the clinical recommendations in these Practice Guidelines and have strong or moderate supporting evidence. CONCLUSIONS AND RECOMMENDATIONS Interventions with strong strength of evidence for improving performance in activities of daily living and functional mobility include mirror therapy, task-oriented training, mental imagery, balance training, self-management strategies, and a multidisciplinary three-stages-of-care rehabilitation program. Constraint-induced therapy has strong strength of evidence for improving performance of instrumental activities of daily living. Moderate strength of evidence supported cognitive-behavioral therapy (CBT) to address balance self-efficacy, long-term group intervention to improve mobility in the community, and a wearable upper extremity sensory device paired with training games in inpatient rehabilitation to improve social participation. Practitioners should incorporate problem-solving therapy in combination with CBT or with education and a family support organizer program. What This Article Adds: These Practice Guidelines provide a summary of strong and moderate evidence for effective interventions for people with stroke and for their caregivers.
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Affiliation(s)
- Mary W Hildebrand
- Mary W. Hildebrand, OTD, OTR/L, is Associate Professor, Department of Occupational Therapy, MGH Institute of Health Professions, Boston, MA
| | - Daniel Geller
- Daniel Geller, EdD, MPH, OTR/L, is Assistant Professor of Rehabilitation and Regenerative Medicine, Programs in Occupational Therapy, Columbia University, New York, NY
| | - Rachel Proffitt
- Rachel Proffitt, OTD, OTR/L, is Associate Professor, Department of Occupational Therapy, University of Missouri, Columbia
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15
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Zhang J, Huang W, Chen Z, Jiang H, Su M, Wang C. Effect of auricular acupuncture on neuroplasticity of stroke patients with motor dysfunction: A fNIRS study. Neurosci Lett 2023; 812:137398. [PMID: 37468089 DOI: 10.1016/j.neulet.2023.137398] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 07/13/2023] [Indexed: 07/21/2023]
Abstract
Cerebral Stroke is an acute cerebrovascular disease, a disease of brain tissue damage caused by the sudden rupture or blockage of blood vessels in the brain that prevents blood flow to the brain. Acupuncture has become a popular treatment for stroke, with auricular acupuncture providing a new idea for stroke treatment. However, the neuromodulatory mechanism of auricular acupuncture in the brain is still unclear. The aim of this study was to investigate the effect of auricular acupuncture in the treatment of upper limb dysfunction and the activation of specific brain regions in stroke patients. Forty patients with stroke hemiplegia who met the nerf criteria were included in the experiment and randomly assigned into two groups (20 patients in each group): the auricular acupuncture group and the control group. Fugl-Meyer score (FMA) assessment of upper limb motor function, motor evoked potential (MEP) measurement, and functional near-infrared brain function imaging (fNIRS) data acquisition in the primary motor M1 area of the brain at rest were performed before and after treatment, respectively. It was found that: 1) after auricular acupuncture treatment, the patients in the auricular acupuncture group showed significantly greater peak MEP and significantly higher oxyhemoglobin content in the M1 region of the brain compared with the control group, with a significant activation effect (MEP: P-value = 0.032, t = -2.22; HbO2; f = 4.225, p = 0.046); 2) in the clinical efficacy assessment, the FMA score in the auricular acupuncture group after treatment (p = 0.0122, t = 2.769). The results suggest that auricular acupuncture has an ameliorative effect on upper limb motor deficits after stroke and that activation of the M1 region of the brain may be a key node in auricular acupuncture for treating upper limb dysfunction in stroke patients, a finding that emphasizes the potential for clinical application of auricular acupuncture therapy for stroke patients with potential mechanisms influencing the outcome.
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Affiliation(s)
- Jin Zhang
- Guangzhou University of Chinese Medicine, Guangzhou, China; Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Wenhao Huang
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zhihong Chen
- Nanhai District People's Hospital of Foshan, Foshan, China
| | - Haoxiang Jiang
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Minzhi Su
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Cong Wang
- Guangzhou University of Chinese Medicine, Guangzhou, China; Center of Traditional Remedies, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, China.
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16
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Singh N, Saini M, Kumar N, Padma Srivastava MV, Mehndiratta A. Individualized closed-loop TMS synchronized with exoskeleton for modulation of cortical-excitability in patients with stroke: a proof-of-concept study. Front Neurosci 2023; 17:1116273. [PMID: 37304037 PMCID: PMC10248009 DOI: 10.3389/fnins.2023.1116273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 05/09/2023] [Indexed: 06/13/2023] Open
Abstract
Background Repetitive TMS is used in stroke rehabilitation with predefined passive low and high-frequency stimulation. Brain State-Dependent Stimulation (BSDS)/Activity-Dependent Stimulation (ADS) using bio-signal has been observed to strengthen synaptic connections. Without the personalization of brain-stimulation protocols, we risk a one-size-fits-all approach. Methods We attempted to close the ADS loop via intrinsic-proprioceptive (via exoskeleton-movement) and extrinsic-visual-feedback to the brain. We developed a patient-specific brain stimulation platform with a two-way feedback system, to synchronize single-pulse TMS with exoskeleton along with adaptive performance visual feedback, in real-time, for a focused neurorehabilitation strategy to voluntarily engage the patient in the brain stimulation process. Results The novel TMS Synchronized Exoskeleton Feedback (TSEF) platform, controlled by the patient's residual Electromyogram, simultaneously triggered exoskeleton movement and single-pulse TMS, once in 10 s, implying 0.1 Hz frequency. The TSEF platform was tested for a demonstration on three patients (n = 3) with different spasticity on the Modified Ashworth Scale (MAS = 1, 1+, 2) for one session each. Three patients completed their session in their own timing; patients with (more) spasticity tend to take (more) inter-trial intervals. A proof-of-concept study on two groups-TSEF-group and a physiotherapy control-group was performed for 45 min/day for 20-sessions. Dose-matched Physiotherapy was given to control-group. Post 20 sessions, an increase in ipsilesional cortical-excitability was observed; Motor Evoked Potential increased by ~48.5 μV at a decreased Resting Motor Threshold by ~15.6%, with improvement in clinical scales relevant to the Fugl-Mayer Wrist/Hand joint (involved in training) by 2.6 units, an effect not found in control-group. This strategy could voluntarily engage the patient. Conclusion A brain stimulation platform with a real-time two-way feedback system was developed to voluntarily engage the patients during the brain stimulation process and a proof-of-concept study on three patients indicates clinical gains with increased cortical excitability, an effect not observed in the control-group; and the encouraging results nudge for further investigations on a larger cohort.
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Affiliation(s)
- Neha Singh
- Centre for Biomedical Engineering, Indian Institute of Technology, New Delhi, India
| | - Megha Saini
- Centre for Biomedical Engineering, Indian Institute of Technology, New Delhi, India
| | - Nand Kumar
- Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | | | - Amit Mehndiratta
- Centre for Biomedical Engineering, Indian Institute of Technology, New Delhi, India
- Department of Biomedical Engineering, AIIMS, New Delhi, India
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17
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Liu Y, Dong X, Huo H, Feng L, Tong D, Liu J, Zhang H, Zheng Y, Wang S, Wang D. Effects of programmed flexor-extensor alternating electrical acupoint stimulation on upper limb motor functional reconstruction after stroke: study protocol for a double-blind, randomized controlled trial. Trials 2023; 24:324. [PMID: 37170159 PMCID: PMC10174617 DOI: 10.1186/s13063-023-07283-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 03/29/2023] [Indexed: 05/13/2023] Open
Abstract
BACKGROUND Stroke's prevalence and morbidity are increasing (Guano, et al. Neuro 89:53-61, 2017), and limb motor dysfunction is left in most patients (Gittler, et al. JAMA 319:820-821, 2018). Particularly, the rehabilitation of upper limbs is more difficult and time-consuming (Borges, et al. The Cochrane database of systematic reviews 10:CD011887, 2018). METHODS A double-blind randomized controlled trial (RCT) will be conducted to investigate whether a new functional electrical stimulation (FES) combined with acupoint therapy is more effective in the rehabilitation of upper limb motor dysfunction after stroke. Patients who meet the inclusion criteria will be randomly divided into two groups: programmed flexor-extensor alternating electrical acupoint stimulation group (PES group) and conventional flexor-extensor alternating electrical acupoint stimulation group (CES group), which will be treated for 3 weeks. The primary outcome measures are electroencephalogram (EEG) and surface electromyogram (sEMG). The secondary outcome variables include MBI (modified Barthel index), China Stroke Scale (CSS), FMA-U (Fugl-Meyer assessment upper limb), MMT (manual muscle testing), and Brunnstrom. DISCUSSION The results of this study are expected to verify the efficacy of PES therapy in the rehabilitation of upper limb motor function after stroke. This may promote the widespread use of the therapy in hospitals, communities, and homes for early and continuous treatment. TRIAL REGISTRATION ClinicalTrials.gov NCT05333497. Registered on April 11, 2022.
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Affiliation(s)
- Yang Liu
- Heilongjiang University of Chinese Medicine, No. 24 Heping Road, Xiangfang District, Harbin, People's Republic of China
| | - Xu Dong
- The Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Nangang District, No. 105 AshiheRoad, Harbin, People's Republic of China
| | - Hong Huo
- The Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Nangang District, No. 105 AshiheRoad, Harbin, People's Republic of China
| | - Liyuan Feng
- The Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Nangang District, No. 105 AshiheRoad, Harbin, People's Republic of China
| | - Dan Tong
- Heilongjiang University of Chinese Medicine, No. 24 Heping Road, Xiangfang District, Harbin, People's Republic of China
| | - Jiahui Liu
- Heilongjiang University of Chinese Medicine, No. 24 Heping Road, Xiangfang District, Harbin, People's Republic of China
| | - Hongyan Zhang
- Heilongjiang University of Chinese Medicine, No. 24 Heping Road, Xiangfang District, Harbin, People's Republic of China
| | - Yingkang Zheng
- Heilongjiang University of Chinese Medicine, No. 24 Heping Road, Xiangfang District, Harbin, People's Republic of China
| | - Shuai Wang
- Heilongjiang University of Chinese Medicine, No. 24 Heping Road, Xiangfang District, Harbin, People's Republic of China
| | - Dongyan Wang
- Heilongjiang University of Chinese Medicine, No. 24 Heping Road, Xiangfang District, Harbin, People's Republic of China.
- The Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Nangang District, No. 105 AshiheRoad, Harbin, People's Republic of China.
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18
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Wang L, Wang S, Zhang S, Dou Z, Guo T. Effectiveness and Electrophysiological Mechanisms of Focal Vibration on Upper Limb Motor Dysfunction in Patients with Subacute Stroke: A Randomized Controlled Trial. Brain Res 2023; 1809:148353. [PMID: 36990135 DOI: 10.1016/j.brainres.2023.148353] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 03/23/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023]
Abstract
Upper limb motor dysfunction is a common complication after stroke, which has a negative impact on the daily life of patients. Focal vibration (FV) has been used to improve upper limb motor function in acute and chronic stroke patients, but its application in subacute stroke patients has not been extensively explored. Therefore, the purpose of this study was to explore the therapeutic effect of FV on upper limb motor function in subacute stroke patients and its underlying electrophysiological mechanism. Twenty-nine patients were enrolled and randomized into two groups: control group and vibration group. The control group were treated with conventional therapy including passive and active physical activity training, standing and sitting balance exercises, muscle strength training, hand extension and grasping exercises. The vibration group were given conventional rehabilitation and vibration therapy. A deep muscle stimulator (DMS) with a frequency of 60 Hz and an amplitude of 6 mm was used to provide vibration stimulation, which was sequentially applied along the biceps muscle to the flexor radialis of the affected limb for 10 minutes, once a day, and 6 times a week. Both groups received treatments for 4 consecutive weeks. In the vibration group, the motor evoked potential (MEP) latency and the somatosensory evoked potential (SEP) latency were significantly shortened (P<0.05) immediately after vibration and 30 minutes after vibration; the SEP amplitude and MEP amplitude were significantly increased (P<0.05) immediately after vibration and 30 minutes after vibration. The MEP latency (P=0.001) and SEP N20 latency (P=0.001) were shortened, and the MEP amplitude (P=0.011) and SEP N20 amplitude (P=0.017) were significantly increased after 4 weeks in the vibration group. After 4 consecutive weeks, the vibration group showed significant improvements in Modified Ashworth Scale (MAS) (P=0.037), Brunnstrom stage for upper extremity (BS-UE) (P=0.020), Fugl-Meyer assessment for upper extremity (FMA-UE) (P=0.029), Modified Barthel Index (MBI) (P=0.024), and SEP N20 (P=0.046) compared to the control group. The Brunnstrom stage for hand (BS-H) (P=0.451) did not show significant differences between the two groups. This study showed that FV was effective in improving upper limb motor function in subacute stroke patients. The underlying mechanism of FV may be that it enhances the efficacy of sensory pathways and induces plastic changes in the sensorimotor cortex.
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19
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Loro A, Borg MB, Battaglia M, Amico AP, Antenucci R, Benanti P, Bertoni M, Bissolotti L, Boldrini P, Bonaiuti D, Bowman T, Capecci M, Castelli E, Cavalli L, Cinone N, Cosenza L, Di Censo R, Di Stefano G, Draicchio F, Falabella V, Filippetti M, Galeri S, Gimigliano F, Grigioni M, Invernizzi M, Jonsdottir J, Lentino C, Massai P, Mazzoleni S, Mazzon S, Molteni F, Morelli S, Morone G, Nardone A, Panzeri D, Petrarca M, Posteraro F, Santamato A, Scotti L, Senatore M, Spina S, Taglione E, Turchetti G, Varalta V, Picelli A, Baricich A. Balance Rehabilitation through Robot-Assisted Gait Training in Post-Stroke Patients: A Systematic Review and Meta-Analysis. Brain Sci 2023; 13:brainsci13010092. [PMID: 36672074 PMCID: PMC9856764 DOI: 10.3390/brainsci13010092] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/21/2022] [Accepted: 12/29/2022] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Balance impairment is a common disability in post-stroke survivors, leading to reduced mobility and increased fall risk. Robotic gait training (RAGT) is largely used, along with traditional training. There is, however, no strong evidence about RAGT superiority, especially on balance. This study aims to determine RAGT efficacy on balance of post-stroke survivors. METHODS PubMed, Cochrane Library, and PeDRO databases were investigated. Randomized clinical trials evaluating RAGT efficacy on post-stroke survivor balance with Berg Balance Scale (BBS) or Timed Up and Go test (TUG) were searched. Meta-regression analyses were performed, considering weekly sessions, single-session duration, and robotic device used. RESULTS A total of 18 trials have been included. BBS pre-post treatment mean difference is higher in RAGT-treated patients, with a pMD of 2.17 (95% CI 0.79; 3.55). TUG pre-post mean difference is in favor of RAGT, but not statistically, with a pMD of -0.62 (95%CI - 3.66; 2.43). Meta-regression analyses showed no relevant association, except for TUG and treatment duration (β = -1.019, 95% CI - 1.827; -0.210, p-value = 0.0135). CONCLUSIONS RAGT efficacy is equal to traditional therapy, while the combination of the two seems to lead to better outcomes than each individually performed. Robot-assisted balance training should be the focus of experimentation in the following years, given the great results in the first available trials. Given the massive heterogeneity of included patients, trials with more strict inclusion criteria (especially time from stroke) must be performed to finally define if and when RAGT is superior to traditional therapy.
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Affiliation(s)
- Alberto Loro
- Department of Health Sciences, Università del Piemonte Orientale “Amedeo Avogadro”, 28100 Novara, Italy
- Physical Medicine and Rehabilitation Unit, AOU Maggiore della Carità University Hospital, 28100 Novara, Italy
- Correspondence: or
| | - Margherita Beatrice Borg
- Department of Health Sciences, Università del Piemonte Orientale “Amedeo Avogadro”, 28100 Novara, Italy
- Physical Medicine and Rehabilitation Unit, AOU Maggiore della Carità University Hospital, 28100 Novara, Italy
| | - Marco Battaglia
- Department of Health Sciences, Università del Piemonte Orientale “Amedeo Avogadro”, 28100 Novara, Italy
- Physical Medicine and Rehabilitation Unit, AOU Maggiore della Carità University Hospital, 28100 Novara, Italy
| | - Angelo Paolo Amico
- Physical Medicine and Rehabilitation Unit, Polyclinic of Bari, 70124 Bari, Italy
| | - Roberto Antenucci
- Rehabilitation Unit, Castel San Giovanni Hospital, 29015 Piacenza, Italy
| | - Paolo Benanti
- Theology Department, Pontifical Gregorian University, 00187 Rome, Italy
| | - Michele Bertoni
- Physical Medicine and Rehabilitation, ASST Sette Laghi, 21100 Varese, Italy
| | - Luciano Bissolotti
- Casa di Cura Domus Salutis, Fondazione Teresa Camplani, 25100 Brescia, Italy
| | - Paolo Boldrini
- Robotic Rehabilitation Section, Italian Society of Physical and Rehabilitative Medicine (SIMFER), 00187 Rome, Italy
| | - Donatella Bonaiuti
- Robotic Rehabilitation Section, Italian Society of Physical and Rehabilitative Medicine (SIMFER), 00187 Rome, Italy
| | - Thomas Bowman
- Neurorehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi, 20148 Milan, Italy
| | - Marianna Capecci
- Experimental and Clinic Medicine Department, Università Politecnica delle Marche (UNIVPM), 60126 Ancona, Italy
| | - Enrico Castelli
- Neurorehabilitation Unit, Bambino Gesù Children’s Hospital, 00165 Rome, Italy
| | - Loredana Cavalli
- Physical Medicine and Rehabilitation Unit, Centro Giusti, 50125 Florence, Italy
| | - Nicoletta Cinone
- Unit of Spasticity and Movement Disorders, Division of Physical Medicine and Rehabilitation, University Hospital of Foggia, 71100 Foggia, Italy
| | - Lucia Cosenza
- Rehabilitation Unit, Department of Rehabilitation, “Santi Antonio e Biagio e Cesare Arrigo” National Hospital, 15122 Alessandria, Italy
| | - Rita Di Censo
- Unit of Neurorehabilitation, Department of Neuroscience, Biomedicine, and Movement Sciences, University Hospital of Verona, University of Verona, 37126 Verona, Italy
| | - Giuseppina Di Stefano
- Robotic Rehabilitation Section, Italian Society of Physical and Rehabilitative Medicine (SIMFER), 00187 Rome, Italy
| | - Francesco Draicchio
- Dipartimento Medicina, Epidemiologia, Igiene del Lavoro e Ambientale, Istituto Nazionale Assicurazione Infortuni sul Lavoro (INAIL), 00192 Rome, Italy
| | - Vincenzo Falabella
- Italian Federation of Persons with Spinal Cord Injuries (FISH), 00197 Rome, Italy
| | - Mirko Filippetti
- Unit of Neurorehabilitation, Department of Neuroscience, Biomedicine, and Movement Sciences, University Hospital of Verona, University of Verona, 37126 Verona, Italy
| | - Silvia Galeri
- Neurorehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi, 20148 Milan, Italy
| | - Francesca Gimigliano
- Department of Physical and Mental Health and Prevention Medicine, Luigi Vanvitelli University of Campania, 81100 Naples, Italy
| | - Mauro Grigioni
- Department of New Technologies in Public Healthcare, Italian National Institute of Health (ISS), 00161 Rome, Italy
| | - Marco Invernizzi
- Translational Medicine, Dipartimento Attività Integrate Ricerca e Innovazione (DAIRI), Azienda Ospedaliera Santi Antonio e Biagio e Cesare Arrigo, 15122 Alessandria, Italy
| | - Johanna Jonsdottir
- Neurorehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi, 20148 Milan, Italy
| | - Carmelo Lentino
- Rehabilitation Unit, Santa Corona Hospital, 17027 Pietra Ligure, Italy
| | - Perla Massai
- Tuscany Rehabilitation Clinic, 52025 Montevarchi, Italy
| | - Stefano Mazzoleni
- Department of Electrical Engineering and Information Technology, Polytechnic University of Bari, 70126 Bari, Italy
- The BioRobotics Institute, Scuola Superiore Sant’Anna, 56025 Pontedera, Italy
| | - Stefano Mazzon
- Azienda Unità Locale Socio Sanitaria Euganea (AULSS 6), 35100 Padua, Italy
| | - Franco Molteni
- Rehabilitation Department, Valduce Villa Beretta Hospital, 23845 Costa Masnaga, Italy
| | - Sandra Morelli
- Department of New Technologies in Public Healthcare, Italian National Institute of Health (ISS), 00161 Rome, Italy
| | - Giovanni Morone
- Neurorehabilitation Unit, Santa Lucia Foundation IRCCS, 00179 Rome, Italy
| | - Antonio Nardone
- Pediatric, Diagnostical and Clinical-Surgical Sciences Department, University of Pavia, 27100 Pavia, Italy
- Neurorehabilitation Unit, Istituto Clinico-Scientifico Maugeri SPA IRCCS, 27100 Pavia, Italy
| | - Daniele Panzeri
- Pediatric Rehabilitation Unit, IRCCS Eugenio Medea, 23842 Bosisio Parini, Italy
| | - Maurizio Petrarca
- Neurorehabilitation Unit, Bambino Gesù Children’s Hospital, 00165 Rome, Italy
| | | | - Andrea Santamato
- Unit of Spasticity and Movement Disorders, Division of Physical Medicine and Rehabilitation, University Hospital of Foggia, 71100 Foggia, Italy
| | - Lorenza Scotti
- Department of Translational Medicine, Università del Piemonte Orientale “Amedeo Avogadro”, 28100 Novara, Italy
| | - Michele Senatore
- Italian Association of Occupational Therapists (AITO), 00136 Rome, Italy
| | - Stefania Spina
- Unit of Spasticity and Movement Disorders, Division of Physical Medicine and Rehabilitation, University Hospital of Foggia, 71100 Foggia, Italy
| | - Elisa Taglione
- Rehabilitation Unit, Istituto Nazionale Assicurazione Infortuni sul Lavoro (INAIL), 56048 Volterra, Italy
| | | | - Valentina Varalta
- Unit of Neurorehabilitation, Department of Neuroscience, Biomedicine, and Movement Sciences, University Hospital of Verona, University of Verona, 37126 Verona, Italy
| | - Alessandro Picelli
- Unit of Neurorehabilitation, Department of Neuroscience, Biomedicine, and Movement Sciences, University Hospital of Verona, University of Verona, 37126 Verona, Italy
| | - Alessio Baricich
- Department of Health Sciences, Università del Piemonte Orientale “Amedeo Avogadro”, 28100 Novara, Italy
- Physical Medicine and Rehabilitation Unit, AOU Maggiore della Carità University Hospital, 28100 Novara, Italy
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20
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Zhu Y, Wang C, Li J, Zeng L, Zhang P. Effect of different modalities of artificial intelligence rehabilitation techniques on patients with upper limb dysfunction after stroke-A network meta-analysis of randomized controlled trials. Front Neurol 2023; 14:1125172. [PMID: 37139055 PMCID: PMC10150552 DOI: 10.3389/fneur.2023.1125172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 03/21/2023] [Indexed: 05/05/2023] Open
Abstract
Background This study aimed to observe the effects of six different types of AI rehabilitation techniques (RR, IR, RT, RT + VR, VR and BCI) on upper limb shoulder-elbow and wrist motor function, overall upper limb function (grip, grasp, pinch and gross motor) and daily living ability in subjects with stroke. Direct and indirect comparisons were drawn to conclude which AI rehabilitation techniques were most effective in improving the above functions. Methods From establishment to 5 September 2022, we systematically searched PubMed, EMBASE, the Cochrane Library, Web of Science, CNKI, VIP and Wanfang. Only randomized controlled trials (RCTs) that met the inclusion criteria were included. The risk of bias in studies was evaluated using the Cochrane Collaborative Risk of Bias Assessment Tool. A cumulative ranking analysis by SUCRA was performed to compare the effectiveness of different AI rehabilitation techniques for patients with stroke and upper limb dysfunction. Results We included 101 publications involving 4,702 subjects. According to the results of the SUCRA curves, RT + VR (SUCRA = 84.8%, 74.1%, 99.6%) was most effective in improving FMA-UE-Distal, FMA-UE-Proximal and ARAT function for subjects with upper limb dysfunction and stroke, respectively. IR (SUCRA = 70.5%) ranked highest in improving FMA-UE-Total with upper limb motor function amongst subjects with stroke. The BCI (SUCRA = 73.6%) also had the most significant advantage in improving their MBI daily living ability. Conclusions The network meta-analysis (NMA) results and SUCRA rankings suggest RT + VR appears to have a greater advantage compared with other interventions in improving upper limb motor function amongst subjects with stroke in FMA-UE-Proximal and FMA-UE-Distal and ARAT. Similarly, IR had shown the most significant advantage over other interventions in improving the FMA-UE-Total upper limb motor function score of subjects with stroke. The BCI also had the most significant advantage in improving their MBI daily living ability. Future studies should consider and report on key patient characteristics, such as stroke severity, degree of upper limb impairment, and treatment intensity/frequency and duration. Systematic review registration www.crd.york.ac.uk/prospero/#recordDetail, identifier: CRD42022337776.
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Affiliation(s)
- Yu Zhu
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
- Linfen Central Hospital, Linfen, Shanxi, China
| | - Chen Wang
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
| | - Jin Li
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
| | - Liqing Zeng
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
| | - Peizhen Zhang
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
- *Correspondence: Peizhen Zhang
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21
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Furuya S, Tanibuchi R, Nishioka H, Kimoto Y, Hirano M, Oku T. Passive somatosensory training enhances piano skill in adolescent and adult pianists: A preliminary study. Ann N Y Acad Sci 2023; 1519:167-172. [PMID: 36398868 DOI: 10.1111/nyas.14939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Sensory afferent information, such as auditory and somatosensory feedback while moving, plays a crucial role in both control and learning of motor performance across the lifespan. Music performance requires skillful integration of multimodal sensory information for the production of dexterous movements. However, it has not been understood what roles somatosensory afferent information plays in the acquisition and sophistication of specialized motor skills of musicians across different stages of development. In the present preliminary study, we addressed this issue by using a novel technique with a hand exoskeleton robot that can externally move the fingers of pianists. Short-term exposure to fast and complex finger movements generated by the exoskeleton (i.e., passive movements) increased the maximum rate of repetitive piano keystrokes by the pianists. This indicates that somatosensory inputs derived from the externally generated motions enhanced the quickness of the sequential finger movements in piano performance, even though the pianists did not voluntarily move the fingers. The enhancement of motor skill through passive somatosensory training using the exoskeleton was more pronounced in adolescent pianists than adult pianists. These preliminary results implicate a sensitive period of neuroplasticity of the somatosensory-motor system of trained pianists, which emphasizes the importance of somatosensory-motor training in professional music education during adolescence.
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Affiliation(s)
- Shinichi Furuya
- Sony Computer Science Laboratories Inc., Tokyo, Japan.,NeuroPiano Institute, Kyoto, Japan.,Sophia University, Tokyo, Japan
| | - Ryuya Tanibuchi
- Sony Computer Science Laboratories Inc., Tokyo, Japan.,Sophia University, Tokyo, Japan
| | - Hayato Nishioka
- Sony Computer Science Laboratories Inc., Tokyo, Japan.,NeuroPiano Institute, Kyoto, Japan
| | - Yudai Kimoto
- Sony Computer Science Laboratories Inc., Tokyo, Japan.,Sophia University, Tokyo, Japan
| | - Masato Hirano
- Sony Computer Science Laboratories Inc., Tokyo, Japan.,NeuroPiano Institute, Kyoto, Japan
| | - Takanori Oku
- Sony Computer Science Laboratories Inc., Tokyo, Japan.,NeuroPiano Institute, Kyoto, Japan.,Sophia University, Tokyo, Japan
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22
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Fu J, Chen S, Jia J. Sensorimotor Rhythm-Based Brain-Computer Interfaces for Motor Tasks Used in Hand Upper Extremity Rehabilitation after Stroke: A Systematic Review. Brain Sci 2022; 13:brainsci13010056. [PMID: 36672038 PMCID: PMC9856697 DOI: 10.3390/brainsci13010056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/05/2022] [Accepted: 12/25/2022] [Indexed: 12/29/2022] Open
Abstract
Brain-computer interfaces (BCIs) are becoming more popular in the neurological rehabilitation field, and sensorimotor rhythm (SMR) is a type of brain oscillation rhythm that can be captured and analyzed in BCIs. Previous reviews have testified to the efficacy of the BCIs, but seldom have they discussed the motor task adopted in BCIs experiments in detail, as well as whether the feedback is suitable for them. We focused on the motor tasks adopted in SMR-based BCIs, as well as the corresponding feedback, and searched articles in PubMed, Embase, Cochrane library, Web of Science, and Scopus and found 442 articles. After a series of screenings, 15 randomized controlled studies were eligible for analysis. We found motor imagery (MI) or motor attempt (MA) are common experimental paradigms in EEG-based BCIs trials. Imagining/attempting to grasp and extend the fingers is the most common, and there were multi-joint movements, including wrist, elbow, and shoulder. There were various types of feedback in MI or MA tasks for hand grasping and extension. Proprioception was used more frequently in a variety of forms. Orthosis, robot, exoskeleton, and functional electrical stimulation can assist the paretic limb movement, and visual feedback can be used as primary feedback or combined forms. However, during the recovery process, there are many bottleneck problems for hand recovery, such as flaccid paralysis or opening the fingers. In practice, we should mainly focus on patients' difficulties, and design one or more motor tasks for patients, with the assistance of the robot, FES, or other combined feedback, to help them to complete a grasp, finger extension, thumb opposition, or other motion. Future research should focus on neurophysiological changes and functional improvements and further elaboration on the changes in neurophysiology during the recovery of motor function.
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Affiliation(s)
- Jianghong Fu
- Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Shugeng Chen
- Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Jie Jia
- Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
- National Center for Neurological Disorders, Shanghai 200040, China
- Correspondence: ; Tel./Fax: +86-021-5288-7820
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23
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Huo C, Sun Z, Xu G, Li X, Xie H, Song Y, Li Z, Wang Y. fNIRS-based brain functional response to robot-assisted training for upper-limb in stroke patients with hemiplegia. Front Aging Neurosci 2022; 14:1060734. [PMID: 36583188 PMCID: PMC9793407 DOI: 10.3389/fnagi.2022.1060734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 11/23/2022] [Indexed: 12/14/2022] Open
Abstract
Background Robot-assisted therapy (RAT) has received considerable attention in stroke motor rehabilitation. Characteristics of brain functional response associated with RAT would provide a theoretical basis for choosing the appropriate protocol for a patient. However, the cortical response induced by RAT remains to be fully elucidated due to the lack of dynamic brain functional assessment tools. Objective To guide the implementation of clinical therapy, this study focused on the brain functional responses induced by RAT in patients with different degrees of motor impairment. Methods A total of 32 stroke patients were classified into a low score group (severe impairment, n = 16) and a high score group (moderate impairment, n = 16) according to the motor function of the upper limb and then underwent RAT training in assistive mode with simultaneous cerebral haemodynamic measurement by functional near-infrared spectroscopy (fNIRS). Functional connectivity (FC) and the hemisphere autonomy index (HAI) were calculated based on the wavelet phase coherence among fNIRS signals covering bilateral prefrontal, motor and occipital areas. Results Specific cortical network response related to RAT was observed in patients with unilateral moderate-to-severe motor deficits in the subacute stage. Compared with patients with moderate dysfunction, patients with severe impairment showed a wide range of significant FC responses in the bilateral hemispheres induced by RAT with the assistive mode, especially task-related involvement of ipsilesional supplementary motor areas. Conclusion Under assisted mode, RAT-related extensive cortical response in patients with severe dysfunction might contribute to brain functional organization during motor performance, which is considered the basic neural substrate of motor-related processes. In contrast, the limited cortical response related to RAT in patients with moderate dysfunction may indicate that the training intensity needs to be adjusted in time according to the brain functional state. fNIRS-based assessment of brain functional response assumes great importance for the customization of an appropriate protocol training in the clinical practice.
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Affiliation(s)
- Congcong Huo
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China,Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China,Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China
| | - Zhifang Sun
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Gongcheng Xu
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China,Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Xinglou Li
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Hui Xie
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China,Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Ying Song
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Zengyong Li
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China,Key Laboratory of Rehabilitation Aids Technology and System of the Ministry of Civil Affairs, Beijing, China,*Correspondence: Zengyong Li,
| | - Yonghui Wang
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China,Yonghui Wang,
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24
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Donnellan-Fernandez K, Ioakim A, Hordacre B. Revisiting dose and intensity of training: Opportunities to enhance recovery following stroke. J Stroke Cerebrovasc Dis 2022; 31:106789. [PMID: 36162377 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/08/2022] [Accepted: 09/13/2022] [Indexed: 10/31/2022] Open
Abstract
PURPOSE Stroke is a global leading cause of adult disability with survivors often enduring persistent impairments and loss of function. Both intensity and dosage of training appear to be important factors to help restore behavior. However, current practice fails to achieve sufficient intensity and dose of training to promote meaningful recovery. The purpose of this review is to propose therapeutic solutions that can help achieve a higher dose and/or intensity of therapy. Raising awareness of these intensive, high-dose, treatment strategies might encourage clinicians to re-evaluate current practice and optimize delivery of stroke rehabilitation for maximal recovery. METHODS Literature that tested and evaluated solutions to increase dose or intensity of training was reviewed. For each therapeutic strategy, we outline evidence of clinical benefit, supporting neurophysiological data (where available) and discuss feasibility of clinical implementation. RESULTS Possible therapeutic solutions included constraint induced movement therapy, robotics, circuit therapy, bursts of training, gaming technologies, goal-oriented instructions, and cardiovascular exercise. CONCLUSION Our view is that clinicians should evaluate current practice to determine how intensive high-dose training can be implemented to promote greater recovery after stroke.
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Affiliation(s)
| | - Andrew Ioakim
- Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Brenton Hordacre
- Innovation, IMPlementation and Clinical Translation (IIMPACT) in Health, University of South Australia, Adelaide, Australia.
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25
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Fernández-Vázquez D, Cano-de-la-Cuerda R, Navarro-López V. Haptic Glove Systems in Combination with Semi-Immersive Virtual Reality for Upper Extremity Motor Rehabilitation after Stroke: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191610378. [PMID: 36012019 PMCID: PMC9408073 DOI: 10.3390/ijerph191610378] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/17/2022] [Accepted: 08/18/2022] [Indexed: 05/25/2023]
Abstract
Background: The effectiveness of the virtual reality (VR) for the upper extremity (UE) motor rehabilitation after stroke has been widely studied. However, the effectiveness of the combination between rehabilitation gloves and semi-immersive VR (SVR) compared to conventional treatment has not yet been studied. Methods: A systematic search was conducted in Pubmed, Web of Science, PEDRo, and Scopus, Cochrane, CINHAAL databases from inception to May 2022. Randomized controlled trials were included if patients were under rehabilitation with haptic gloves combined with SVR intervention focused on the UE rehabilitation in stroke patients. Risk of bias and methodological quality were evaluated with the Physiotherapy Evidence Database (PEDro), and the modified Cochrane library criteria. A random effects model was used for the quantitative assessment of the included studies using the standard mean difference with a 95% confidence interval. Heterogeneity among the included studies was assessed using Cochran’s Q test and the incoherence index (I2). Results: After a first screening, seven studies were included. Significant differences with a 95% confidence interval were obtained in favor of the rehabilitation glove combined with SVR in the short term (SMD—standardized mean differences = 0.38, 95% CI—confidence interval = 0.20; 0.56; Z: 4.24; p =< 0.001). In the long term, only the studies that performed an intervention based in rehabilitation glove combined with SVR with also included rehabilitation were able to maintain the improvements (SMD = 0.71, 95% CI = 0.40; 1.02; Z: 4.48; p =< 0.001). Conclusions: The combined use of rehabilitation haptic gloves and SVR with conventional rehabilitation produces significant improvements with respect to conventional rehabilitation treatment alone in terms of functionality of the UE in stroke patients.
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26
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Saini M, Singh N, Kumar N, Srivastava MVP, Mehndiratta A. A novel perspective of associativity of upper limb motor impairment and cortical excitability in sub-acute and chronic stroke. Front Neurosci 2022; 16:832121. [PMID: 35958985 PMCID: PMC9358254 DOI: 10.3389/fnins.2022.832121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 06/29/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe global inclination of stroke onset in earlier years of life and increased lifespan have resulted in an increased chronic post-stroke-related disability. The precise and simplistic approach such as the correlation of Fugl-Meyer Assessment (FMA) with Transcranial Magnetic Stimulation (TMS) parameters, Resting Motor Threshold (RMT) and Motor Evoked Potential (MEP), in patients with stroke might play a critical role, given the prognostic value of MEP, a measure of cortical excitability, and might be the key point in prescribing appropriate therapeutic strategies.ObjectiveThe study aimed to determine the correlation of FMA-based impairment in the upper extremity function specifically of the wrist and hand with respect to the neurophysiological parameters of corticospinal tract integrity.Materials and methodsThe Institutional Review Board approved the study and 67 (n) patients with stroke were enrolled in the Department of Neurology, AIIMS, New Delhi, India. The motor assessment was performed on patients by the upper extremity subset of Fugl-Meyer Assessment (FMA) and the clinical history was obtained. RMT and MEP of Extensor Digitorum Communis (EDC) muscle were measured via TMS.ResultsA significant positive correlation was observed between Fugl-Meyer Assessment Wrist/Hand (FMA W/H) and MEP scores (r = 0.560, <0.001). Also, Fugl-Meyer Assessment Upper Extremity (FMA UE) scores demonstrated a moderate positive association with MEP responsiveness (r = 0.421, <0.001).ConclusionMEP of the EDC muscle was found to be associated with sensorimotor control as measured by FMA. Moreover, FMA W/H score values might be a better prognostic indicator of EDC MEP responsiveness. Interestingly, a novel element comprising the range of FMA UE and FMA W/H components was observed to be a potential indicator of MEP responsiveness and could also indicate establishing FMA as a surrogate for TMS in resource-limited settings for prognostification.
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Affiliation(s)
- Megha Saini
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India
| | - Neha Singh
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India
| | - Nand Kumar
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | | | - Amit Mehndiratta
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India
- Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India
- *Correspondence: Amit Mehndiratta,
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27
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Pino A, Gomez-Vargas D, Garzon A, Roberti F, Carelli R, Munera M, Cifuentes CA. Mirror-Based Robotic Therapy for Ankle Recovery with a Serious Game: A Case Study with a Neurological Patient. IEEE Int Conf Rehabil Robot 2022; 2022:1-6. [PMID: 36176091 DOI: 10.1109/icorr55369.2022.9896510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Neuromuscular disorders, such as foot drop, severely affect the locomotor function and walking independence after a brain injury event. Mirror-based robotic therapy (MRT) has been a promising rehabilitation strategy favouring upper limb muscle strength and motor control in the last years. However, there are still no studies validating this technique in lower limb experimental protocols. This paper presents an innovative visual and motor feedback strategy based on serious games and MRT modalities. Thus, a preliminary system validation with a healthy participant is performed. Moreover, the strategy's potential effects were investigated in a neurologic patient's short rehabilitation program. After six sessions, the results of the method favoured active ankle plantarflexion range of motion and muscle activation. Although the patient had a positive adaptation at the end of the game, it is necessary to improve the proposed strategy to enhance the robotic experience in the long term.
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28
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Casas R, Sandison M, Nichols D, Martin K, Phan K, Chen T, Lum PS. Home-Based Therapy After Stroke Using the Hand Spring Operated Movement Enhancer (HandSOME II). Front Neurorobot 2021; 15:773477. [PMID: 34975447 PMCID: PMC8719001 DOI: 10.3389/fnbot.2021.773477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 11/25/2021] [Indexed: 11/13/2022] Open
Abstract
We have developed a passive and lightweight wearable hand exoskeleton (HandSOME II) that improves range of motion and functional task practice in laboratory testing. For this longitudinal study, we recruited 15 individuals with chronic stroke and asked them to use the device at home for 1.5 h per weekday for 8 weeks. Subjects visited the clinic once per week to report progress and troubleshoot problems. Subjects were then given the HandSOME II for the next 3 months, and asked to continue to use it, but without any scheduled contact with the project team. Clinical evaluations and biomechanical testing was performed before and after the 8 week intervention and at the 3 month followup. EEG measures were taken before and after the 8 weeks of training to examine any recovery associated brain reorganization. Ten subjects completed the study. After 8 weeks of training, functional ability (Action Research Arm Test), flexor tone (Modified Ashworth Test), and real world use of the impaired limb (Motor Activity Log) improved significantly (p < 0.05). Gains in real world use were retained at the 3-month followup (p = 0.005). At both post-training and followup time points, biomechanical testing found significant gains in finger ROM and hand displacement in a reaching task (p < 0.05). Baseline functional connectivity correlated with gains in motor function, while changes in EEG functional connectivity paralleled changes in motor recovery. HandSOME II is a low-cost, home-based intervention that elicits brain plasticity and can improve functional motor outcomes in the chronic stroke population.
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Affiliation(s)
- Rafael Casas
- Biomedical Engineering, The Catholic University of America, Washington, DC, United States
- MedStar National Rehabilitation Network, Washington, DC, United States
| | - Melissa Sandison
- Biomedical Engineering, The Catholic University of America, Washington, DC, United States
- MedStar National Rehabilitation Network, Washington, DC, United States
| | - Diane Nichols
- MedStar National Rehabilitation Network, Washington, DC, United States
| | - Kaelin Martin
- Biomedical Engineering, The Catholic University of America, Washington, DC, United States
| | - Khue Phan
- Biomedical Engineering, The Catholic University of America, Washington, DC, United States
| | - Tianyao Chen
- Biomedical Engineering, The Catholic University of America, Washington, DC, United States
| | - Peter S. Lum
- Biomedical Engineering, The Catholic University of America, Washington, DC, United States
- MedStar National Rehabilitation Network, Washington, DC, United States
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29
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Major ZZ, Vaida C, Major KA, Tucan P, Brusturean E, Gherman B, Birlescu I, Craciunaș R, Ulinici I, Simori G, Banica A, Pop N, Burz A, Carbone G, Pisla D. Comparative Assessment of Robotic versus Classical Physical Therapy Using Muscle Strength and Ranges of Motion Testing in Neurological Diseases. J Pers Med 2021; 11:jpm11100953. [PMID: 34683094 PMCID: PMC8541455 DOI: 10.3390/jpm11100953] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/20/2021] [Accepted: 09/22/2021] [Indexed: 01/02/2023] Open
Abstract
The use of robotic systems in physical rehabilitation protocols has become increasingly attractive and has been given more focus in the last decade as a result of the high prevalence of motor deficits in the population, which is linked to an overburdened healthcare system. In accordance with current trends, three robotic devices have been designed, called ParReEx Elbow, ParReEx Wrist, and ASPIRE, which were designed to improve upper-limb medical recovery (shoulder, elbow, forearm, and wrist). The three automated systems were tested in a hospital setting with 23 patients (12 men and 11 women) suffering from motor deficits caused by various neurological diseases such as stroke, Parkinson’s disease, and amyotrophic lateral sclerosis (ALS). The patients were divided into three groups based on their pathology (vascular, extrapyramidal, and neuromuscular). Objective clinical measures, such as the Medical Research Council (MRC) scale, goniometry, and dynamometry, were used to compare pre- and post-rehabilitation assessments for both robotic-aided and manual physical rehabilitation therapy. The results of these tests showed that, with the exception of a few minor differences in muscular strength recovery, the robotic-assisted rehabilitation methods performed equally as well as the manual techniques, though only minor improvements were validated during short-term rehabilitation. The greatest achievements were obtained in the goniometric analysis where some rehabilitation amplitudes increased by over 40% in the vascular group, but the same analysis returned regressions in the neuromuscular group. The MRC scale analysis returned no significant differences, with most regressions occurring in the neuromuscular group. The dynamometric analysis mostly returned improvements, but the highest value evolution was 19.07%, which also in the vascular group. While the results were encouraging, more research is needed with a larger sample size and a longer study period in order to provide more information regarding the efficacy of both rehabilitation methods in neurological illnesses.
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Affiliation(s)
- Zoltán Zsigmond Major
- Neurophysiology Department, National Center for Spinal Disorders, Királyhágó u. 1, 1126 Budapest, Hungary;
- Neurology Department, Municipal Clinical Hospital Cluj-Napoca, 400139 Cluj-Napoca, Romania; (E.B.); (R.C.); (G.S.)
| | - Calin Vaida
- Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania; (P.T.); (B.G.); (I.B.); (I.U.); (A.B.); (N.P.); (A.B.)
- Correspondence: (C.V.); (D.P.)
| | - Kinga Andrea Major
- Second ICU, Neurosurgery Department, Cluj County Emergency Clinical Hospital, Strada Clinicilor 3-5, 400000 Cluj-Napoca, Romania;
| | - Paul Tucan
- Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania; (P.T.); (B.G.); (I.B.); (I.U.); (A.B.); (N.P.); (A.B.)
| | - Emanuela Brusturean
- Neurology Department, Municipal Clinical Hospital Cluj-Napoca, 400139 Cluj-Napoca, Romania; (E.B.); (R.C.); (G.S.)
| | - Bogdan Gherman
- Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania; (P.T.); (B.G.); (I.B.); (I.U.); (A.B.); (N.P.); (A.B.)
| | - Iosif Birlescu
- Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania; (P.T.); (B.G.); (I.B.); (I.U.); (A.B.); (N.P.); (A.B.)
| | - Raul Craciunaș
- Neurology Department, Municipal Clinical Hospital Cluj-Napoca, 400139 Cluj-Napoca, Romania; (E.B.); (R.C.); (G.S.)
| | - Ionut Ulinici
- Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania; (P.T.); (B.G.); (I.B.); (I.U.); (A.B.); (N.P.); (A.B.)
| | - Gábor Simori
- Neurology Department, Municipal Clinical Hospital Cluj-Napoca, 400139 Cluj-Napoca, Romania; (E.B.); (R.C.); (G.S.)
| | - Alexandru Banica
- Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania; (P.T.); (B.G.); (I.B.); (I.U.); (A.B.); (N.P.); (A.B.)
| | - Nicoleta Pop
- Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania; (P.T.); (B.G.); (I.B.); (I.U.); (A.B.); (N.P.); (A.B.)
| | - Alin Burz
- Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania; (P.T.); (B.G.); (I.B.); (I.U.); (A.B.); (N.P.); (A.B.)
| | - Giuseppe Carbone
- DIMEG, University of Calabria, Via Pietro Bucci, 87036 Rende, Italy;
| | - Doina Pisla
- Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania; (P.T.); (B.G.); (I.B.); (I.U.); (A.B.); (N.P.); (A.B.)
- Correspondence: (C.V.); (D.P.)
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30
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Singh N, Saini M, Kumar N, Srivastava MVP, Kumaran SS, Mehndiratta A. A Case Report: Effect of Robotic Exoskeleton Based Therapy on Neurological and Functional Recovery of a Patient With Chronic Stroke. Front Neurol 2021; 12:680733. [PMID: 34322080 PMCID: PMC8313089 DOI: 10.3389/fneur.2021.680733] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 05/17/2021] [Indexed: 11/13/2022] Open
Abstract
Background: In this study, a novel electromechanical robotic exoskeleton was developed for the rehabilitation of distal joints. The objective was to explore the functional MRI and the neurophysiological changes in cortical-excitability in response to exoskeleton training for a 9-year chronic stroke patient. Case-Report: The study involved a 52-year old female patient with a 9-year chronic stroke of the right hemisphere, who underwent 20 therapy sessions of 45 min each. Cortical-excitability and clinical-scales: Fugl-Mayer (FM), Modified Ashworth Scale (MAS), Brunnstrom-Stage (BS), Barthel-Index (BI), Range of Motion (ROM), were assessed pre-and post-therapy to quantitatively assess the motor recovery. Clinical Rehabilitation Impact: Increase in FM wrist/hand by 6, BI by 10, and decrease in MAS by 1 were reported. Ipsilesional Motor Evoked Potential (MEP) (obtained using Transcranial Magnetic Stimulation) was increased by 98 μV with a decrease in RMT by 6% and contralesional MEP was increased by 43 μV with a decrease in RMT by 4%. Laterality Index of Sensorimotor Cortex (SMC) reduced in precentral- gyrus (from 0.152 to -0.707) and in postcentral-gyrus (from 0.203 to -0.632). Conclusion: The novel exoskeleton-based training showed improved motor outcomes, cortical excitability, and neuronal activation. The research encourages the further investigation of the potential of exoskeleton training.
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Affiliation(s)
- Neha Singh
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi, India
| | - Megha Saini
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi, India
| | - Nand Kumar
- Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - M. V. Padma Srivastava
- Department of Neurology, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - S. Senthil Kumaran
- Department of Nuclear Medicine and Resonance, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Amit Mehndiratta
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi, India
- Department of Biomedical Engineering, All India Institute of Medical Sciences (AIIMS), New Delhi, India
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