Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Showing posts with label hand function. Show all posts
Showing posts with label hand function. Show all posts

Sunday, February 1, 2026

Ipsilesional upper limb performance in stroke individuals: relationship among outcomes of different tests used to assess hand function

 Nothing here GETS SURIVORS RECOVERED AT ALL! You need exact protocols for that!

Ipsilesional upper limb performance in stroke individuals: relationship among outcomes of different tests used to assess hand function

Bianca Pinto Cunha [a]  
Bianca Pinto Cunha [a],  
Sandra Maria Sbeghen Ferreira de Freitas, 
Viviana Van Den Berg de Menezes [b] , 
Paulo Barbosa de Freitas [a]* 
[a] Universidade Cruzeiro do Sul (UNICSUL), São Paulo, SP, Brazil 
[b] Universidade Cidade de São Paulo (UNICID), São Paulo, SP, Brazil  

Abstract  

Introduction:  
Stroke individuals have sensorimotor repercussions on their ipsilesional upper limb. Therefore, it is important to use tests that allow an adequate assessment and follow-up of such deficits. Physical and occupational therapists commonly use maximal grip strength tests to assess the functional condition of stroke individuals. However, one could ask whether a single test is able to characterize the hand function in this population. 
 
Objective: 

The aim of this study was to investigate the relationship among outcomes of different tests frequently used to describe the function of the hand in the ipsilesional upper limb of stroke individuals.  Methods:  Twenty-two stroke individuals performed four hand function tests:  maximal handgrip strength (HGSMax), maximal pinch grip strength (PGSMax), Jebsen-Taylor Hand Function Test (JTHFT) and Nine Hole Peg Test (9-HPT). All tests were performed with the ipsilesional hand. Pearson’s correlation analyses were performed.  

Results:  

The results indicated a moderate and positive relationship between HGSMax and JTHFT (r = 0.50) and between JTHFT and 9-HPT (r = 0.55). 

Conclusion:  

We conclude that the existence of only moderate relationships between test outcomes demonstrates the need to use at least two instruments to better describe the ipsilesional hand function of stroke individuals.

Thursday, June 12, 2025

Enhancing stroke rehabilitation: Assessing hand function through electromyography

 

This still doesn't deliver recovery, it only evaluates the existing movement. CREATING EXACT RECOVERY PROTOCOLS IS NEEDED!

Enhancing stroke rehabilitation: Assessing hand function through electromyography

Citation
Nuñez, E., & Gao, Y. Enhancing stroke rehabilitation: Assessing hand function through electromyography. -- FYRE in STEM Showcase, 2025.
Abstract

Stroke remains a leading cause of long-term disability, as it significantly impairs hand function and impacts the daily lives of affected individuals. Traditional assessment methods for hand strength and recovery, such as manual muscle testing, often lack the objectivity and precision necessary for effective rehabilitation. This study investigates the application of electromyography (EMG) as an objective measurement tool for evaluating muscle activation during hand-squeezing tasks in stroke patients. The primary objective is to assess the effectiveness of EMG in enhancing the evaluation of hand function and informing rehabilitation strategies. Healthy individuals will perform controlled hand-squeezing tasks. EMG sensors will be utilized to record muscle activation patterns, focusing on contraction timing and intensity. Those results will serve as a control and will be compared to results from simulated stroke survivors. A specialized software program will be developed to analyze EMG data, with validation involving a comparative analysis between groups. The anticipated findings aim to demonstrate the advantages of EMG in providing accurate assessments of muscle function, ultimately supporting the development of personalized rehabilitation protocols. By integrating EMG into stroke rehabilitation practices, this research seeks to improve recovery outcomes, enhance quality of life for stroke survivors, and advance data-driven rehabilitation methodologies.

Description
Poster and abstract presented at the FYRE in STEM Showcase, 2025.
Research project completed at the Department of Biomedical Engineering.
Publisher
Wichita State University
Series
FYRE in STEM 2025

Wednesday, April 5, 2023

Can specific virtual reality combined with conventional rehabilitation improve poststroke hand motor function? A randomized clinical trial

If our hospitals can't even manage to buy survivors music for music therapy they will never buy virtual reality stuff.   

They say nothing about full recovery, so I guess it was a failure at that. Once again using the tyranny of low expectations to declare success when survivors would consider it a failure.

Can specific virtual reality combined with conventional rehabilitation improve poststroke hand motor function? A randomized clinical trial

Abstract

Trial objective

To verify whether conventional rehabilitation combined with specific virtual reality is more effective than conventional therapy alone in restoring hand motor function and muscle tone after stroke.

Trial design

This prospective single-blind randomized controlled trial compared conventional rehabilitation based on physiotherapy and occupational therapy (control group) with the combination of conventional rehabilitation and specific virtual reality technology (experimental group). Participants were allocated to these groups in a ratio of 1:1. The conventional rehabilitation therapists were blinded to the study, but neither the participants nor the therapist who applied the virtual reality–based therapy could be blinded to the intervention.

Participants

Forty-six patients (43 of whom completed the intervention period and follow-up evaluation) were recruited from the Neurology and Rehabilitation units of the Hospital General Universitario of Talavera de la Reina, Spain.

Intervention

Each participant completed 15 treatment sessions lasting 150 min/session; the sessions took place five consecutive days/week over the course of three weeks. The experimental group received conventional upper-limb strength and motor training (100 min/session) combined with specific virtual reality technology devices (50 min/session); the control group received only conventional training (150 min/session).

Results

As measured by the Ashworth Scale, a decrease in wrist muscle tone was observed in both groups (control and experimental), with a notably larger decrease in the experimental group (baseline mean/postintervention mean: 1.22/0.39; difference between baseline and follow-up: 0.78; 95% confidence interval: 0.38–1.18; effect size = 0.206). Fugl-Meyer Assessment scores were observed to increase in both groups, with a notably larger increase in the experimental group (total motor function: effect size = 0.300; mean: − 35.5; 95% confidence interval: − 38.9 to − 32.0; wrist: effect size = 0.290; mean: − 5.6; 95% confidence interval: − 6.4 to − 4.8; hand: effect size = 0.299; mean: − -8.9; 95% confidence interval: − 10.1 to − 7.6). On the Action Research Arm Test, the experimental group quadrupled its score after the combined intervention (effect size = 0.321; mean: − 32.8; 95% confidence interval: − 40.1 to − 25.5).

Conclusion

The outcomes of the study suggest that conventional rehabilitation combined with a specific virtual reality technology system can be more effective than conventional programs alone in improving hand motor function and voluntary movement and in normalizing muscle tone in subacute stroke patients. With combined treatment, hand and wrist functionality and motion increase; resistance to movement (spasticity) decreases and remains at a reduced level.

Trials Registry: International Clinical Trials Registry Platform: ISRCTN27760662 (15/06/2020; retrospectively registered).

Introduction

Stroke is a leading cause of long-lasting disability. As many as 41.5 million new cases occur yearly in Europe, and 3.7 million survivors experience long-lasting impairments, whereas less than 15% of patients achieve full poststroke recovery [1].

It is estimated that 80% of stroke patients have upper-limb deficits and have decreased activity and use of the paretic hand in daily life [2]; the involvement of the more affected hand in activities of daily living (ADLs) depends on the severity of the deterioration and is associated with a decrease in health-related quality of life (HRQoL) and restrictions on social participation [3, 4].

Most of the functional recovery after diagnosis occurs in the first three months, although neural repair processes and behavioral improvements continue to show slight plasticity in later phases of the rehabilitation process [5, 6]. Therefore, it is crucial that hand rehabilitation begin early; treatment should start within this window of opportunity for functional recovery, when the brain is especially receptive to sensorimotor interaction [7,8,9].

Rehabilitative treatment of the upper limb is recognized by consensus among survivors, caregivers and health professionals as one of the top ten research priorities for poststroke recovery [10, 11]. In addition to the rehabilitation of the upper limb, other priorities should also be taken into account for the development of neurorehabilitation programs and the design of the corresponding studies, such as minimizing patients’ mobility disability, poststroke fatigue and difficulty in fulfilling responsibilities in the family and work environments; improving patients’ response to the demands of society; and ensuring exhaustive, well-structured monitoring of their clinical evolution after treatment.

During poststroke hand treatment, special attention must be paid to restoring the different biomechanical movements and curvature of the hand in order to provide a stable base and correct alignment as a prerequisite for dexterity training and modulation of reaching movements [12,13,14]. It is crucial to remember that restoring the selective voluntary movements of the upper limb in stroke patients also relies on the postural control that is necessary for reaching movements—scapula stabilization, shoulder stability more broadly, and selective muscle recruitment [15,16,17,18,19,20].

Various therapies based on a conventional approach have been demonstrated to be useful, achieving good results in terms of hand rehabilitation: motor imagery training seems to improve the precision and accuracy of movement, as well as the reception of sensory signals, by fostering activation of dormant synapses and accelerating reperfusion of the ischemic penumbra [21]. Mirror therapy can reduce asymmetric hemisphere activation, stimulate the primary motor cortex in both the lesioned (ipsilateral) hemisphere and the opposite (contralateral) hemisphere, widely activate the mirror neuron system and induce partial pathways for motor neurons on the side affected by stroke, which facilitates the remodeling of brain function [22, 23]. Constraint-induced movement therapy focuses on intensive, gradual training of the paretic upper limb to improve its use in specific tasks, limit the use of the less affected upper limb, and, in the context of behavior-changing methods for improving adherence, transfer the clinical achievements into the patient’s real life [24] by relating the therapeutic intervention components to the improvement of motor function and the use and skill of the paretic hand in daily life [25]. Forced use, which is meant to maximize daily use of the paretic hand, seems to yield improvements in motor function after intervention, and these improvements persist for three months after poststroke intervention [26]. Last but not least, active sensory therapies focus on active sensory training in the context of practice with goals involving multiple areas of the brain; pursuing neural reorganization in this manner enhances the motor recovery of the paretic upper limb (e.g., practicing nonvisual identification of common objects increases stereognosis) [27].

Another important aspect of hand-focused therapy programs is the use of a generous dose of intense repetition [28]. Lang et al. [27] determined by means of meta-regression that from 24 to 57 h, the effect size increased by 0.034 for every ten extra hours of therapy, independent of the specific poststroke intervention. In a conventional therapy session at an ordinary hospital rehabilitation unit, a patient can achieve 30 repetitions of an exercise involving the upper limbs, whereas specific technological systems allow more than 300 repetitions in 34 min of action per session [29, 30].

Recent years have witnessed an increased use of technology-based and especially virtual reality–based neurorehabilitation approaches, which have allowed the creation of effective simulated environments and provided multimodal, controllable and customizable stimulation [31]. The re-creation of objects in virtual form maximizes visual feedback [32]. In addition, high intensity and a large number of repetitions are key factors influencing neuroplasticity and functional improvement in patients [33]. Rehabilitation based on virtual reality offers the possibility of addressing individual treatment needs and simultaneously standardizing evaluation and training protocols [34, 35].

There are two major types of virtual reality-based systems used in neurorehabilitation: nonspecific virtual reality (N-SVR) systems and specific virtual reality (SVR) systems. These two classes differ in that systems of the former type use game consoles and video games designed by the entertainment industry. Such consoles (Wii, Xbox, PlayStation, etc.) run games that are not designed for adults suffering from a neurological pathology and do not allow monitoring of movement or other motor or functional variables of the affected body segments. Thus, N-SVR systems are not designed for the neurophysiological recovery of the brain, and they do not focus on the neuronal connections necessary for the recovery of hand function after stroke. In contrast, SVR systems are specifically designed to promote motor learning and recovery, optimizing the acquisition, retention and generalization of motor skills. SVR systems incorporate key features of virtual reality and add objective, quantitative movement monitoring and exergames to facilitate the motor recovery of the hand (regular voluntary movement, arches of hand curvature, grasping, pinch grips and gross manipulation). In addition, SVR systems comply with the principles of neurorehabilitation: mass practice (repetitive training), high dosing (intensive training), structured practice, task-specific practice (ADL-relevant skills training), variable practice, multisensory stimulation (training in which the feedback is not limited to the visual modality), increasing difficulty (individualized training), explicit feedback (training that provides knowledge about the results), implicit feedback (training that provides task-relevant implicit signals), avatar representation (immersive training) and encouragement of the use of the paretic limb (training that counteracts compensation) [36].

In this sense, neurorehabilitation SVR systems allow rehabilitation work to proceed in a functional way and with specific intervention objectives, and these systems can easily evaluate and document progress during sessions [37]. Taking advantage of these characteristics, several authors have used virtual reality-based therapy (VRBT) to restore motor function after stroke [38,39,40]. Immersion, presence, and interactivity are three key features of virtual reality [41, 42]. In the course of our study, the exergames of the HandTutor© glove software made it possible for the user to become the main character (immersion); users perceived the connection to the virtual environment through movement (interactivity) and acted inside it as they received input and responded to the challenges posed by the exergame (presence).

In this regard, Laver et al. [40] analyzed studies that compared N-SVR-based therapies with an alternative intervention or no intervention. In 2017, they updated their review by adding 35 new studies of N-SVR-based therapies, the majority of which used commercial games on the Nintendo Wii console. They concluded that virtual reality alone did not offer statistically significant improvements, in contrast to conventional treatment. However, when virtual reality was applied as a complement to common treatment, this combined treatment outperformed the conventional treatment alone. In these studies, the experimental group was given more time for treatment than the control group [41].

Choosing the appropriate neurorehabilitation strategies to maximize clinical results in stroke patients takes priority. In this sense, a combination of more traditional neurophysiological approaches and motion-based therapies, delivered at a high intensity and in a large dose in motivating game-related environments where motion can be made, offers an important advantage in restoring the motor function of the upper limb [29, 31].

Our clinical trial differs from the studies included in the review as follows: (1) it adds SVR technology (HandTutor© glove), designed for hand motor rehabilitation; (2) it offers the same amount of time for intervention in both groups (control vs. experimental); and (3) it combines SVR with conventional treatment (experimental group). Additionally, many of the studies included in the review focused on adult patients with chronic stroke (a period of recovery equal to or greater than six months after diagnosis).

Ikbali and collaborators [39] used the Kinect sensor and the Xbox 360 console from Microsoft Inc.© to train active movement of the upper limb, focusing on shoulder abduction and adduction and wrist flexion and extension exercises.

The Kinect sensor, independent of any specific software for rehabilitation after stroke, is able to capture gross movement of the upper limb, but it cannot identify hand motion and does not include exergames designed for hand motor rehabilitation.

Programs incorporating SVR technology to train distal motor function after cerebrovascular accident remain little known [43, 44], in contrast to programs focusing on proximal motor function [45], robot-assisted hand treatment [30, 46] or improving balance and walking [47, 48]. Therefore, the aim of the present study is to test whether conventional rehabilitation combined with SVR is more effective than conventional therapy alone in restoring the motor function and muscle tone of the hand after stroke.

It was hypothesized that, compared to control group (CG) participants, adults randomized to the experimental group (EG) would achieve an increased degree of hand motor function improvement and have superior results on the Fugl-Meyer Assessment, Ashworth Scale, and Action Research Arm Test.

More at link.

Wednesday, March 22, 2023

Validity of Novel Outcome Measures for Hand Function Performance After Stroke Using Egocentric Video

Well shit, you're not solving stroke at all! You're just documenting hand dysfunction. USELESS!  I'd fire everyone involved in this crapola!

Validity of Novel Outcome Measures for Hand Function Performance After Stroke Using Egocentric Video

Abstract

Background

Evaluating upper limb (UL) interventions after stroke calls for outcome measures that describe impact on daily life in the community. UL use ratio has been used to quantify the performance domain of UL function, but generally focuses on arm use only. A hand use ratio could provide additional information about UL function after stroke. Additionally, a ratio based on the role of the more-affected hand in bilateral activities (stabilizer or manipulator) may also reflect hand function recovery. Egocentric video is a novel modality that can record both dynamic and static hand use and hand roles at home after stroke.

Objective

To validate hand use and hand role ratios from egocentric video against standardized clinical UL assessments.

Methods

Twenty-four stroke survivors recorded daily tasks in a home simulation laboratory and their daily routines at home using egocentric cameras. Spearman’s correlation was used to compare the ratios with the Fugl-Meyer Assessment-Upper Extremity (FMA-UE), Action Research Arm Test (ARAT), and Motor Activity Log-30 (MAL, Amount of Use (AoU), and Quality of Movement (QoM)).

Results

Hand use ratio significantly correlated with the FMA-UE (0.60, 95% CI: 0.26, 0.81), ARAT (0.44, CI: 0.04, 0.72), MAL-AoU (0.80, CI: 0.59, 0.91), and MAL-QoM (0.79, CI: 0.57, 0.91). Hand role ratio had no significant correlations with the assessments.

Conclusion

Hand use ratio automatically extracted from egocentric video, but not hand role ratio, was found to be a valid measure of hand function performance in our sample. Further investigation is necessary to interpret hand role information.

Introduction

Upper limb (UL) function is one of the determinants of independence in activities of daily living (ADLs) after stroke. To evaluate the ultimate impact of novel treatments for UL function in daily life, an outcome measure that captures UL function outside of clinical settings is required. The International Classification of Functioning, Disability and Health (ICF) describes the activity domain of function as containing the sub-domains of performance and capacity; the former measures the function demonstrated in an individual’s living environment and the latter measures their highest function in a standardized environment.1 Measuring UL function in the community belongs to the performance domain and corresponds to only 2 standardized clinical assessments: Motor Activity Log (MAL)2 and Stroke Impact Scale.3 However, both assessments are self-reported questionnaires and may be limited by response bias and cognitive issues. Objective assessments of UL performance are required to evaluate UL function for community-dwelling stroke survivors.
To address this need, UL use ratio has been proposed as a sensor-based measurement that quantifies UL performance and has been applied in various environments. The concept is based on describing the amount of more-affected limb use as a fraction of the amount of less-affect limb use. The UL use ratio is very stable and close to one among healthy individuals,4 however, the ratios reported for stroke survivors vary between studies.5,6 Most studies that reported UL use ratios used wrist-worn devices, such that the ratios described the arm use of stroke survivors rather than hand use.7-9 In contrast, in clinical UL assessments, arm function, and hand function are measured in different subtests to separately evaluate reaching and grasping, such as in the Fugl-Meyer Assessment for Upper Extremity (FMA-UE).10 How a hand manipulates an object highly depends on the level of hand function impairment. Investigating hand use in addition to arm use is valuable and provides different information about UL function. In addition to hand use, the role of the more-affected hand is another distinct piece of information about hand function during bilateral activities. The role of a hand, as defined in the Chedoke Arm and Hand Activity Inventory (CAHAI),11 can consist of stabilization or manipulation. All aspects of UL use may depend on impairment level,6,12 the environment in which it is observed,12-14 and whether the dominant hand is affected.15 These factors call for ecologically valid assessment of hand use and hand role in real-world conditions.
Wearable technologies that have previously been applied to capture UL use include accelerometers,16-19 magnetometers,20,21 force myography,22,23 and wearable cameras.7,24 Finger-worn accelerometers and magnetometers capture hand movements, but may interfere with a stroke survivor’s naturalistic movements during activities, and the functional interpretation of finger movements is not trivial.21 In addition, wrist-worn accelerometers cannot distinguish functional movements using a threshold due to the heterogeneity of the more-affected limb movements after stroke.19,25 Wrist-worn force myography has been applied to detect reach-to-grasp movements in the community and the reported hand use ratios were approximately 0.3 for stroke survivors and 0.7 for healthy individuals.23 Hand use ratio from finger-worn accelerometers in a laboratory setting has been reported to have significant correlations with the MAL, the Functional Ability Scale, and the FMA-UE.8 Despite the high correlation between hand use ratio and clinical UL assessments, additional details are limited due to the lack of studies describing the hand use ratios of community-dwelling stroke survivors. As for hand role, stroke survivors with severe hand function impairment reported in a survey that they were more likely to use their more-affected hand in tasks where it served as a stabilizer; in contrast, respondents with mild impairment reported a greater likelihood to use their more-affected hands in tasks where it would act as a manipulator.11 No data about measured hand role ratios have been reported, yet this information may be beneficial to quantify performance differences between the 2 hands. Wearable cameras (egocentric video) can record hand movements in context without interfering with the naturalistic movements during activities, and hand use can be identified from the recorded videos using computer vision.26,27 Video data contains information about hand grasp type, compensatory movements, environment facilitators or barriers, and objects involved in a task, which are relevant to interpreting the functional intent of the movement. The rich content of egocentric video is foreseen to provide additional information compared to motion-based sensors, and the potential benefits of this sensor modality for measuring hand use and hand roles warrant investigation. Therefore, egocentric video was chosen to capture hand function performance in this study. To date, the hand use and hand role ratios extracted from egocentric videos of community-dwelling stroke survivors have not been reported and validated against standardized clinical UL assessments. The aim of this study was to validate the hand use ratio and the hand role ratio of stroke survivors in the community.

Monday, June 7, 2021

The Effectiveness of Music Therapy on Hand Function in Patients With Stroke: A Systematic Review of Randomized Controlled Trials

With music therapy having been proven well over a decade ago, why was this research needed?

 

The Effectiveness of Music Therapy on Hand Function in Patients With Stroke: A Systematic Review of Randomized Controlled Trials

  • 1Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
  • 2Shanghai Sunshine Rehabilitation Center, Shanghai, China
  • 3Shandong University of Traditional Chinese Medicine, Jinan, China
  • 4Department of Rehabilitation Medicine, Zhujiang Hospital of Southern Medical University, Guangzhou, China

Objective: This study aims to evaluate the efficacy of music-supported therapy for stroke patients' hand function.

Methods: The databases used included Cumulative Index to Nursing and Allied Health Literature (CINAHL), MEDLINE, PubMed, Embase, Music Index, and Google Scholar. Studies published between January 2010 and August 2020 were included. The searching key terms included “music-supported therapy,” “music therapy,” “hand function,” “hand dysfunction,” “stroke,” “ischemic,” and “hemorrhagic.” Randomized controlled trials or controlled trials involving adults who have hand function problems caused by stroke are included in this study. The methodological quality and risk of bias of the included studies were rated by two independent assessors under the guidance of Cochrane collaboration's risk of bias tool.

Results: Twelve studies that met the inclusion criteria were included in this study. Totally, the data included 598 stroke patients (345 male, 253 female) with recruited time from 1.7 months to 3 years, and the mean age of the participants were 61.09 years old. Based on the Cochrane risk of bias tool, study quality ranged from three to seven out of seven points. Compared with the control group, outcomes including hand strength, range of joint motion, dexterity of hands, arm function, and quality of life were significantly superior with music-supported therapy. Five studies reported improved dexterity of hands, and one study reported the improvement of range of motion and strength of patients' hands, which supported the therapy has positive effects on patients' hand function and improving their quality of life after the therapy. The therapy ranged over a period of 4–8 weeks, with an average duration of 30 min/session and an average of three times per week.

Conclusion: Based on the results, music-supported therapy could be a useful treatment for improving hand function and activities of daily living in patients with stroke, especially for patients within 6 months after stroke. However, the low certainty of evidence downgrades our confidence to practice in hospital. More and more randomized controlled trials and larger sample sizes are required for a deeper review.

Introduction

Stroke is believed to affect more than two million patients annually in China and is one of the most common causes of hand function impairment in middle-aged as well as elderly people. The stroke symptoms may include numbness and weakness in the affected arms and cause a loss of coordination and dexterity (1, 2). Although most of the function can be restored with rehabilitation, ranging up to 79%, the recovery of functional problems of the hand left after stroke is not as satisfactory (3). It has been estimated that ~67% of stroke survivors are still unable to use the affected hand 4 years after the onset of stroke (4, 5). Therefore, rediscovering the potential of hand function and improving the quality of life is of great value to stroke patients.

The most commonly used conventional treatment for hand function problems include constraint-induced movement therapy (CIMT), mirror therapy, virtual reality, and music-supported therapy (MST) (6–8). MST for hand function is usually achieved by playing the instructions. The movement patients conduct during playing the piano or grasping drumsticks can facilitate the coordination of hands, strengthen the power of grasp of the impaired hand (9). The aim of the MST is to improve the function of the upper limbs and to provide appropriate stimulation through real-time auditory feedback. Studies have shown that after a 4-week MST program, the hand mobility, fluency, and speed of stroke patients can improve during the test. Besides, the sensory stimulation brought by music can induce functional recovery in damaged hemispheres.

Through the combination of music and movement, MST uses continuous movement and sensory input to enable the patient's central nervous system to re-establish new synaptic connections to the greatest extent possible, thereby creating new neuromotor pathways. Functional magnetic resonance imaging (fMRI) shows that the blood flow of the damaged area of the brain increases when receiving stimulation from MST, which can help repair the cerebral cortex caused by cerebral hemorrhage or cerebral infarction (10). Especially, when patients with high muscle tension caused by stroke, MST can relieve high muscle tension and increase the ability of fingers to move freely. Brain plasticity is associated with treatment-induced recovery, which helps the patient to repair after the brain is damaged (11). When stroke patients participate in MST, they need to process information from multiple senses at the same time, including auditory, visual, and sensorimotor information, which is transmitted from the auditory system to the premotor cortex (PMC), thereby adjusting the top-down output (12). However, a major current focus in MST is to evaluate how does MST works and how does MST helps patients with gait problems (13). Few researchers have addressed the problem of MST improving the hand function of stroke patients.

Up to now, the effect of MST on the recovery of hand function during rehabilitation has not been gone through systematically yet. Therefore, we decided to undertake a systematic review to find out evidence that can support that MST has ideal curative effect in the recovery of impaired hand in stroke patients. The review sheds new light on the therapy for helping patients more effectively and increasing the ability of motor control, especially the hands so that they can finish the daily life task by themselves. One of the main challenges is that we need to search the randomized controlled trials (RCTs) based on MST on stroke patients, which are the gold standard for effectiveness research (14). Our systematic literature review solves the PICOS question, “Does MST can help stroke patients improve their hand function and increase the quality of life?” The answers may provide new thinking for occupational therapy and determine the effectiveness of the MST.

More at link.