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CLINICAL TRIAL article

Front. Neurol., 11 July 2025

Sec. Neurorehabilitation

Volume 16 - 2025 | https://doi.org/10.3389/fneur.2025.1548703

This article is part of the Research TopicNew approaches for central nervous system rehabilitation - Volume IIView all 8 articles

Effects of mirror therapy combined with theta burst stimulation on motor recovery of upper limbs after stroke: a randomized controlled study

Jing Zhou,Jing Zhou1,2Mo ChenMo Chen1LuJie DongLuJie Dong1CaiXia ZhengCaiXia Zheng1Jiang XuJiang Xu1YangPu Zhang
YangPu Zhang2*YaLi Liu
YaLi Liu1*
  • 1Department of Rehabilitation Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
  • 2Department of Rehabilitiation, Hubei Provincial Hospital of Integrated Chinese & Western Medicine, Wuhan, China

Objective: This study aimed to explore the impacts of intermittent Theta burst stimulation (iTBS) and mirror image therapy (MT), both used separately and in combination with iTBS, on upper limb (UL) motor function, activities of daily living (ADL), and cortical excitability during the subacute phase of stroke.

Design: Randomized controlled study.

Setting: Inpatient rehabilitation centers of Tongji Hospital and Hubei Provincial Hospital of Integrated Chinese & Western Medicine.

Participants: Seventy-one patients with upper limb (UL) disability.

Interventions: Patients were randomly assigned to four groups. Three treatment groups received intermittent theta burst stimulation (iTBS), mirror therapy (MT), or a combination of both, in addition to routine rehabilitation. Therapy sessions were conducted five days per week for two weeks (10 working days).

Main measures: The assessments encompassed the National Institutes of Health Stroke Scale (NIHSS), upper limb Fugl-Meyer assessment (UL-FMA), modified Barthel index (MBI), Stroke-specific quality of life scale (SS-QOL), resting motor threshold (RMT), and motor evoked potential (MEP).

Results: The combined treatment group showed significant improvements in UL-Fugl-Meyer Assessment (UL-FMA) scores compared with the control and MT groups (p < 0.05). Significant differences in Modified Barthel Index (MBI) and Stroke-Specific Quality of Life Scale (SS-QOL) scores were observed among the four groups (p < 0.05). On the contralesional side, the iTBS group demonstrated increased resting motor threshold (RMT), prolonged motor evoked potential (MEP) latency, and reduced MEP amplitude. In contrast, the MT group showed decreased RMT and MEP latency, along with increased MEP amplitude (p < 0.05).

Conclusion: The addition of iTBS or combined therapy to conventional rehabilitation improved UL motor function and activities of daily living (ADL) in patients with stroke. The iTBS group exhibited inhibitory effects on contralesional hemisphere excitability, while the MT group showed facilitative effects. These excitability changes were less pronounced in the combined treatment group.

Clinical trial registration: Identifier ChiCTR1800015528.

Highlights

• The trial examines the effectiveness of iTBS and MT in stroke patients, aiming to establish a well-developed method for addressing upper limb disability.

• This marks one of the initial clinical trials to assess the impacts of combining iTBS and MT on motor function among patients with stroke.

• Diverse outcome measures were used, encompassing motor function, daily activities, and cortical excitability.

• Patients underwent a brief (2 weeks) treatment period and were subsequently monitored for 3 months.

• The current sample volume is insufficient, and no imaging evaluation is performed. This electrophysiological assessment in the study only documented the changes prior to and following treatment, without providing long-term follow-up results.

Introduction

Most individuals who have experienced a stroke suffer enduring harm, with nearly 80 percent developing lasting, work-constraining impairment in the upper limb (1, 2). Skillful control of the upper limb (UL) is vital for daily self-sufficiency and overall life satisfaction (3). Non-invasive brain stimulation (NIBS) is an approach used to activate specific brain regions, thereby modulating cortical excitability and function (46). Numerous inquiries have demonstrated positive therapeutic effects and their potential clinical significance in addressing the reestablishment of post-stroke interhemispheric imbalances (79). Research indicates that theta-burst stimulation (TBS) can activate the motor cortex by fostering long-term enhanced plasticity (10, 11). Different patterns of stimulation can elicit either stimulating [intermittent θ bursts (iTBS)] or inhibiting [continuous θ bursts (cTBS)] effects on brain excitability (12, 13). They observed that iTBS heightens motor-evoked potential (MEP) amplitudes, thus bolstering cerebral excitability, while cTBS dampens MEPs (14). Ackerley et al. identified that a 2-week application of iTBS to the ipsilesional M1 could potentially enhance precision grip-lift performance and Action Research Arm Test (ARAT) scores, which correlate with superior regulation of M1 corticospinal excitability (15, 16). Mirror therapy (MT) has been the focus of numerous investigations, with many studies highlighting its efficacy in enhancing grip strength (17), range of motion (18), movement speed (19), and manual dexterity (20) in stroke patients. Mirror visual feedback stimulates activity in several brain regions, primarily the primary motor cortex (M1) and the contralateral M1 (21). Prior research has indicated that separate application of MT and iTBS can effectively heighten cortical motor excitability in M1, contributing to the recovery of UL function (22, 23). But there are fewer reports on the effect of combination therapy for patients. In theory, the stimulating effect of using iTBS may make the brain state more receptive to the promoting effect of MT, thereby producing a stronger synergistic effect. This study aimed to investigate the impact of MT combined with iTBS on enhancing upper limb motor function and activities of daily living in patients with subacute stroke, and to further examine the influence of other factors on the efficacy of combined treatment. Neuroelectrophysiological techniques were employed to assess the impact of the treatment on cortical excitability.

Methods and analysis

Subjects

Stroke patients with upper limb impairment were enrolled from the Inpatient Rehabilitation Center of Tongji Hospital and Hubei Provincial Hospital of Integrated Chinese & Western Medicine. Enrollment followed the provision of informed consent for participation in this randomized double-blind controlled trial. Subjects were assigned randomly to one of four groups: control group (N = 17), MT group (N = 18), iTBS group (N = 18), and MT combined with iTBS group (N = 18). Measurements were taken on four occasions: at study commencement (T1; baseline), immediately following intervention (T2), 1 month post-intervention (T3), and 3 months post-intervention (T4). Assessments were conducted by two investigators who were unaware of the participants’ group assignments (refer to Table 1 for inclusion and exclusion criteria).

Table 1
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Table 1. Inclusion and exclusion criteria.

Patient and public involvement

In this study, a research consortium (comprising patient associations, nurses, and professional therapists) contributed to advising on study design, execution, and realization. A public symposium was organized to elucidate the benefits of MT and iTBS, stimulating active involvement among participants. The study schedule was designed to accommodate potential time conflicts with other therapies. Once subjects were randomized, every reasonable effort was made by the research consortium to ensure their participation for the entire study duration. Moreover, participants who enrolled in the program exempt from all evaluation and investigation costs associated with the study.

The risk of iTBS in patients with stroke include epilepsy, temporary hearing changes, and transient headache discomfort. To ensure treatment safety, patients with high-risk factors for epilepsy, such as a history of seizures or large cerebral infarcts, should be excluded. Most mild headaches are generally tolerable, while occasional persistent headaches can be managed with oral medication. All adverse events reported spontaneously by the subject to the investigator or his/her staff recorded for the period of the treatment (2 weeks). If a patient is unable to comply with the treatment protocol or experiences severe adverse reactions, the trial will be immediately discontinued.

Randomization was performed using computer-generated random numbers. After the blocks were numbered, a random number generator was used to select numbers according to the assigned subject sequence. Allocation information was sealed in opaque, numbered envelopes (24). In this double-blind trial, both participants and assessors were blinded to the nature of the treatment.

Intervention

All patients received a standard rehabilitation regimen, which encompassed proper body positioning, active and passive activities for the hemiplegic limbs, balance training, and routine daily activities. For patients in the iTBS group, 600 pulses of excitatory head stimulation were administered once daily, 5 days a week, over a two-week span. A custom magnetic stimulator (YRD-CCI, Wuhan, China) and a figure-of-eight coil (6 cm in diameter with 3.5 T peak magnetic intensity) were used for delivering iTBS to the ipsilesional M1 by a trained investigator. A total of 600 pulses were delivered following the iTBS protocol (12). The stimulation site on the ipsilesional M1 was identified as the point of maximum MEP amplitude in the paretic Abductor Pollicis Brevis (APB) muscle, referred to as the “hotspot.” If MEP wasn’t evoked in the paralytic APB, iTBS was applied to the “hotspot” mirror site on the contralateral M1. The active motor threshold (AMT) was determined as subjects engaged in isometric contractions of the non-paralytic APB at around 20% of their maximum voluntary contraction, with more than 5 contractions in the contralateral APB muscle defined as indicative of a potential >200 μV in 10 trials. iTBS intensity was set at 80% of the AMT for the non-paralytic APB (25). Patients in the MT group underwent 30 min of MT training, consisting of 15 min of upper limb exercises (forearm pronation, wrist extension, finger extension, finger stretching, and specific isolated thumb and finger movements), followed by 15 min of task-oriented therapy (pouring water, drinking, writing, folding a towel, wiping a desk), guided by an experienced neurological physiotherapist. During the therapy, patients sat facing a mirror (60 × 90 cm) positioned perpendicular to their midline. The mirror obstructed the view of the affected hand, allowing the patient to observe the reflection of their healthy hand’s image. While moving the upper extremity, patients simultaneously observed the reflection of their unaffected limb in the mirror. With the assistance of an occupational therapist, the affected hand replicated the motion of the healthy side as closely as possible. In the combined group, iTBS was immediately followed by a 30-min session of personalized upper limb MT for 2 weeks.

Locate the Cz point (geometric center) of the patient.

HotSpot Target (M1) Selection for Motor Cortex Stimulation.

Position the coil tangentially to the scalp, with the handle angled at 45 degrees to the sagittal plane. Place the electrodes over the abductor pollicis brevis muscle, following standard EMG protocols for motor evoked potential (MEP) recording. Electrode color coding (yellow/blue/black) conformed to international electrophysiological conventions (see Figure 1).

Figure 1
Illustration showing brain mapping and stimulation techniques. Panel A depicts brain mapping with electrode placements and a diagram of brain function areas. Panel B shows a diagram of head orientation, a hand holding a device over a blue cap with sensors, and a person undergoing transcranial magnetic stimulation with magnetic fields depicted and a brainwave graphic.

Figure 1. Study design and methods. (A) Methods for locating the M1 area of the head and its corresponding innervation regions; (B) Schematic diagrams of TBS treatment and MEP measurement.

Evaluation of the hypothesis

We collected the following parameters from patients’ medical records at the outset of the trial (please refer to Table 2 and Figure 2 for the designated testing times). Stroke-related attributes encompassed stroke type (ischemic or hemorrhagic), disease duration, spasticity level, and neurological impairments.

Table 2
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Table 2. The designated testing times.

Figure 2
Flowchart illustrating a study design. It begins with a baseline assessment (T1) using clinical scales and MEP, followed by random allocation into four groups: control group (n=20, post n=17), iTBS group (n=20, post n=18), mirror group (n=20, post n=18), and another iTBS group (n=20, post n=18). After ten working days of treatment, a post-treatment assessment (T2) with clinical scales and MEP is conducted. Follow-up assessments occur at one and three months (T3 and T4) using clinical scales. The flowchart concludes with statistical results and conclusions.

Figure 2. Schematic presentation of the experimental design.

Primary outcome measures

We utilized the Fugl-Meyer Assessment (FMA), a 33-item performance-based metric, to quantify upper limb motor function. Each item was rated on a three-tier ordinal scale (0 = incapable, 1 = partial capability, 2 = full capability), culminating in a maximum score of 66 points for upper limb motor performance (26, 27).

Secondary outcome measures

We appraised the thresholds and amplitudes of bilateral MEPs as indicators of motor cortex excitability. We selected five waves with notable repeatability and significant amplitude (excluding the highest and lowest values) for calculating MEP latency and amplitude. RMT was defined as the minimum stimulus intensity needed to elicit a threshold MEP while at rest (50% uV of approximately 50 in 10 trials). All these assessments were conducted by a trained professional therapist.

The National Institutes of Health Stroke Scale (NIHSS) was employed to gauge stroke severity and disability at baseline (28). The Barthel Index (BI) measured activities of daily living (ADL) (29). The Stroke Specific Quality of Life Scale (SS-QOL) was administered to evaluate health status and overall quality of life (30).

Data management

All statistical analyses were performed using the Statistical Package for Social Sciences (SPSS), v27.0. Descriptive analysis in SPSS depicted participant characteristics as mean and standard deviation. Changes before and after the two-week intervention were scrutinized for statistical significance through an ANOVA mixed model design, with Time (Baseline, Post, 1 Month, 3 Months) as a within-subject factor and Group (Basic, MT, iTBS, combined MT and iTBS) as a between-subject factor, encompassing FMS, NIHSS, BI, SS-QOL, RMT, and MEP. Paired t-tests with correction for multiple comparisons and LSD method were used for post hoc analysis. Normal distribution was verified with the Kolmogorov–Smirnov test prior to ANOVA data input. A significance level of p< 0.05 was employed for all tests.

Results

A total of 80 patients were randomly allocated into 4 groups, with 20 patients in each group. There were no significant statistical differences in baseline characteristics (including age, disease duration, gender ratio, and type of hemorrhage/infarction) among the groups. Furthermore, 9 patients were excluded from the study due to incomplete treatment cycles (two patients experienced headaches and insomnia following TBS treatment) or missing follow-up data (see Figure 3 and Table 3).

Figure 3
Four bar graphs compare different groups (control, iTBS, MT, combined) across four metrics: NIHSS, UL-FMA, MBI, SS-QOL. Each graph shows increasing values across groups, with asterisks indicating significant differences.

Figure 3. Clinical functional assessment. “*” indicates a statistically significant difference compared with the pre-treatment condition (p < 0.05). Post-treatment effects were statistically significant relative to baseline.

Table 3
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Table 3. General characteristics of the participants.

Clinical evaluation results

Before treatment, FMA scores showed no statistically significant differences among the four groups. However, intergroup comparisons revealed significant differences at treatment completion, 1 month post-treatment, and 3 months post-treatment. At the T2 time point, the combined treatment group showed a significant difference compared with the control group. At T3 and T4, the combined treatment group demonstrated significant differences relative to both the control and MT groups. Additionally, at T4, the iTBS group also showed significant differences compared with the control and MT groups (see Figure 4).

Figure 4
Two graphs depicting UL-FMA scores over time for different groups: control (green), iTBS (blue), MT (red), and iTBS+MT (brown). The left line graph shows progressive score increases pre, post, one month, and three months. The right bar graph compares scores across four time points, T1 to T4, highlighting significant differences with asterisks.

Figure 4. Effects of FMA score of upper limbs among groups at different time points. Symbol indicate mean values and error bars represent standard errors of the mean (Mean ± SD), * means compared with control group, *p < 0.05.

Before treatment, MBI scores showed no statistically significant differences among the four groups. Intergroup comparisons revealed significant differences in MBI scores at 1 month and 3 months post-treatment. Further analysis showed that, at T3 and T4, the combined treatment group demonstrated significant differences compared with the control group. Additionally, the iTBS group exhibited a significant difference relative to the control group (see Figure 5).

Figure 5
Line and bar graphs comparing MBI scores over time across four groups: Control, iTBS, MT, and iTBS+MT. The line graph shows an upward trend from pre-treatment to three months. The bar graph depicts MBI scores at four time points, with the combined group showing higher scores. Statistical significance is indicated by asterisks.

Figure 5. Effects of MBI score among groups at different time points; symbol indicate mean values and error bars represent standard errors of the mean (Mean ± SD), * means compared with control group, *p < 0.05.

Before the intervention, SS-QOL scores showed no statistically significant differences among the four groups. Intergroup comparisons revealed significant differences at 1 month and 3 months post-treatment. Further analysis indicated that, at T3 and T4, the combined treatment group demonstrated significant differences compared with both the control and MT groups. Additionally, the iTBS group showed significant differences relative to the control group (see Figure 6).

Figure 6
Line and bar graphs compare SS-QOL scores over time among four groups: Control, iTBS, MT, and iTBS+MT. Lines show all groups improve from pre to 3 months, with the combined group performing best. Bars indicate significant differences at T3 and T4, with the combined group highest.

Figure 6. Effects of Stroke-specific quality of life scale (SS-QOL) among groups at different time points; symbol indicate mean values and error bars represent standard errors of the mean (Mean +/ - SD), * means compared with control group, *p < 0.05.

The RMT and MEP

Intra-group comparison of RMT, iTBS group increased, mirror treatment group decreased, there was statistical difference (p < 0.05). After 2 weeks of treatment, there was statistically significant difference between the four groups (p = 0.024). Further pairwise comparison, there was statistically significant difference between the iTBS group and the mirror treatment group after treatment (p = 0.014).

Intra-group comparison of LATENT MEP showed significant increase in iTBS group and decrease in mirror treatment group (p < 0.05). After 2 weeks of treatment, there was a statistical difference between the four groups (p = 0.005). Further pairwise comparison showed that there was a statistical difference between the iTBS group and the MT group after treatment (p = 0.002) (see Figures 7, 8).

Figure 7
Bar chart titled

Figure 7. Intra-group and inter-group comparisons of RMT.

Figure 8
Bar charts compare MEP latency (milliseconds) and MEP amplitude (millivolts) across four groups: control, iTBS, MT, and combined. Each group is represented in different shades. The first chart shows latency around twenty milliseconds, while the second displays amplitude variations ranging between one and two millivolts. Error bars indicate variability.

Figure 8. Intra-group and inter-group comparisons of MEP amplitude and MEP latency.

There was statistical difference in MEP amplitude between iTBS and mirror group (p < 0.05). There was no significant difference between the four groups at each time point (p > 0.05).

Discussion

This study demonstrated that combining iTBS with MT enhanced upper limb motor function and activities of daily living in patients with stroke. During the acute phase, motor cortex excitability on the affected side typically declined. As recovery progressed, neural activity in neighboring neurons near the lesion compensated for the damaged regions, reflecting the brain’s capacity for plasticity. Functional imaging and electrophysiological studies have supported the existence of this neuroplasticity. iTBS may promote cortical reorganization by enhancing cortical excitability, facilitating LTP-like plasticity (11), and modulating the responsiveness of M1 to input from other cortical areas. Notably, improvements in FMA scores at 1 month were associated with balanced corticomotor excitability and increased activation of the ipsilesional premotor cortex during grip tasks of the paretic hand. These effects likely contributed to improved planning, segmentation, and coordination of movements in the affected upper limb.

Imaging studies have shown increased activity in the perimotor cortex of the affected hemisphere during early stages of stroke recovery (31). Nojima et al. (32) confirmed, using transcranial magnetic stimulation, that motor function improvement following MT is more closely linked to remodeling within the primary motor cortex. During MT, consistent visual and somatosensory stimuli activate the mirror neuron system (MNS), induce neural remodeling (33), and facilitate recovery of upper motor function. In addition, MT involves bilateral upper limb training, performed either independently or with assistance. Symmetrical movements of both limbs result in widespread activation of motor cortical areas (34). It is hypothesized that mirror visual feedback may alleviate deficits in motor pathways on the affected side and promote upper limb motor recovery.

Facilitative TBS appeared to enhance the excitability of compensatory neurons on the affected side (35). Initiating iTBS demonstrated superior efficacy compared with sham stimulation in improving the therapeutic effects of robot-assisted training. Patients with relatively better upper limb function were more likely to benefit significantly from iTBS. This protocol was effectively used to enhance motor learning post-stroke (36). However, a study investigating the combined effects of iTBS (targeting the right dorsal premotor cortex, dPMC) and MT in healthy individuals over 4 days reported negative results (37). The findings suggested that iTBS increased excitability in left M1, which counteracted the effects of MT due to inhibitory interconnections between neural regions. Thus, applying iTBS to the right M1 in our study may have enhanced its responsiveness to stimulation, thereby improving function of the left upper limb compared with MT alone. TBS, a novel form of high-frequency repetitive rTMS delivered in bursts at low intensity, appeared safe and well tolerated.

Our results suggested that iTBS exerted an inhibitory effect on healthy cortex excitability in subacute stroke patients, implying facilitation of the affected cortex. Conversely, the MT group exhibited increased excitability in the healthy cortex, associated with bilateral M1 internal inhibition and reduced motor threshold (32, 38). Mechanistic studies of MT have shown that mirror visual feedback (MVF) reduces asymmetric hemispheric activation and supports cortical modifications in both ipsilateral and contralateral primary motor cortices (M1). Although MEPs from the affected side were elicited in only a few cases, an upward trend in cortical excitability was observed on the affected side. Studies indicate that during movement of the affected hand, activation shifts toward the affected hemisphere’s M1, reflecting enhanced activation on the affected side (39, 40). In the combined treatment group, no significant change in healthy cortex excitability was observed, possibly due to counteracting excitability interactions between the two hemispheres.

This study focused on refining strategies to address upper limb disability. However, the sample size was limited, and no imaging evaluation was conducted. The electrophysiological assessments documented changes only before and after treatment without long-term follow-up. Future multi-center studies with larger samples are needed to determine the optimal stimulation protocol to maximize therapeutic effects.

Conclusion

To conclude, TBS exhibited a favorable inclination towards the enhancement of upper limb motor recovery in post-stroke patients. Moreover, the integration of iTBS and MT demonstrates a significant facilitatory effect on the recovery of upper limb motor function in stroke patients. The combined treatment approach exhibits superior efficacy compared to the use of either method in isolation. The underlying mechanism may involve the dual regulatory influence resulting from the interaction between the mirror neuron system and the cerebral cortex. Notwithstanding, limitations in this study include a limited sample size and the absence of neuroelectrophysiological findings 3 months after treatment. It is imperative that larger-scale, multicenter investigations be conducted to validate the effects of TBS on upper limb motor outcomes and cortical plasticity in stroke patients.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.

Ethics statement

The studies involving humans were approved by the Ethical Committee of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

JZ: Writing – original draft, Writing – review & editing, Data curation, Methodology, Supervision, Formal analysis, Investigation, Project administration. MC: Data curation, Writing – original draft. LD: Investigation, Methodology, Writing – original draft. CZ: Data curation, Project administration, Resources, Writing – review & editing. JX: Data curation, Methodology, Supervision, Writing – review & editing. YZ: Data curation, Funding acquisition, Methodology, Resources, Supervision, Writing – review & editing. YL: Data curation, Funding acquisition, Methodology, Resources, Supervision, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This study is being supported by the National Natural Science Foundation of China (81101458).

Acknowledgments

The authors thank Yinshan Lu, Qun Xu and Fengxia Zhang for their input on the study.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fneur.2025.1548703/full#supplementary-material

References

1. Paul, SL, Srikanth, VK, and Thrift, AG. The large and growing burden of stroke. Curr Drug Targets. (2007) 8:786–93. doi: 10.2174/138945007781077418

Crossref Full Text | Google Scholar

2. Langhorne, P, Coupar, F, and Pollock, A. Motor recovery after stroke: a systematic review. Lancet Neurol. (2009) 8:741–54. doi: 10.1016/S1474-4422(09)70150-4

PubMed Abstract | Crossref Full Text | Google Scholar

3. Wang, YC, Magasi, SR, Bohannon, RW, Reuben, DB, McCreath, HE, Bubela, DJ, et al. Assessing dexterity function: a comparison of two alternatives for the NIH toolbox. J Hand Ther. (2011) 24:313–21. doi: 10.1016/j.jht.2011.05.001

PubMed Abstract | Crossref Full Text | Google Scholar

4. Lefaucheur, JP, André-Obadia, N, Antal, A, Ayache, SS, Baeken, C, Benninger, DH, et al. Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS). Clin Neurophysiol. (2014) 125:2150–206. doi: 10.1016/j.clinph.2014.05.021

PubMed Abstract | Crossref Full Text | Google Scholar

5. Simonetta-Moreau, M. Non-invasive brain stimulation (NIBS) and motor recovery after stroke. Ann Phys Rehabil Med. (2014) 57:530–42. doi: 10.1016/j.rehab.2014.08.003

PubMed Abstract | Crossref Full Text | Google Scholar

6. O'Brien, AT, Bertolucci, F, Torrealba-Acosta, G, Huerta, R, Fregni, F, and Thibaut, A. Non-invasive brain stimulation for fine motor improvement after stroke: a meta-analysis. Eur J Neurol. (2018) 25:1017–26. doi: 10.1111/ene.13643

PubMed Abstract | Crossref Full Text | Google Scholar

7. Murase, N, Duque, J, Mazzocchio, R, and Cohen, LG. Influence of interhemispheric interactions on motor function in chronic stroke. Ann Neurol. (2004) 55:400–9. doi: 10.1002/ana.10848

PubMed Abstract | Crossref Full Text | Google Scholar

8. Hsu, WY, Cheng, CH, Liao, KK, Lee, I-H, and Lin, Y-Y. Effects of repetitive transcranial magnetic stimulation on motor functions in patients with stroke: a meta-analysis. Stroke. (2012) 43:1849–57. doi: 10.1161/STROKEAHA.111.649756

PubMed Abstract | Crossref Full Text | Google Scholar

9. Zhang, L, Xing, G, Fan, Y, Guo, Z, Chen, H, and Mu, Q. Short- and long-term effects of repetitive transcranial magnetic stimulation on upper limb motor function after stroke: a systematic review and Meta-analysis. Clin Rehabil. (2017) 31:1137–53. doi: 10.1177/0269215517692386

PubMed Abstract | Crossref Full Text | Google Scholar

10. Huang, YZ, Rothwell, JC, Chen, RS, Lu, CS, and Chuang, WL. The theoretical model of theta burst form of repetitive transcranial magnetic stimulation. Clin Neurophysiol. (2011) 122:1011–8. doi: 10.1016/j.clinph.2010.08.016

PubMed Abstract | Crossref Full Text | Google Scholar

11. Huang, YZ, Chen, RS, Rothwell, JC, and Wen, H-Y. The after-effect of human theta burst stimulation is NMDA receptor dependent. Clin Neurophysiol. (2007) 118:1028–32. doi: 10.1016/j.clinph.2007.01.021

PubMed Abstract | Crossref Full Text | Google Scholar

12. Huang, YZ, Edwards, MJ, Rounis, E, Bhatia, KP, and Rothwell, JC. Theta burst stimulation of the human motor cortex. Neuron. (2005) 45:201–6. doi: 10.1016/j.neuron.2004.12.033

PubMed Abstract | Crossref Full Text | Google Scholar

13. Wischnewski, M, and Schutter, DJ. Efficacy and time course of theta burst stimulation in healthy humans. Brain Stimul. (2015) 8:685–92. doi: 10.1016/j.brs.2015.03.004

PubMed Abstract | Crossref Full Text | Google Scholar

14. Talelli, P, Greenwood, RJ, and Rothwell, JC. Exploring Theta burst stimulation as an intervention to improve motor recovery in chronic stroke. Clin Neurophysiol. (2007) 118:333–42. doi: 10.1016/j.clinph.2006.10.014

PubMed Abstract | Crossref Full Text | Google Scholar

15. Ackerley, SJ, Stinear, CM, Barber, PA, and Byblow, WD. Combining theta burst stimulation with training after subcortical stroke. Stroke. (2010) 41:1568–72. doi: 10.1161/STROKEAHA.110.583278

PubMed Abstract | Crossref Full Text | Google Scholar

16. Ackerley, SJ, Stinear, CM, Barber, PA, and Byblow, WD. Priming sensorimotor cortex to enhance task-specific training after subcortical stroke. Clin Neurophysiol. (2014) 125:1451–8. doi: 10.1016/j.clinph.2013.11.020

PubMed Abstract | Crossref Full Text | Google Scholar

17. Kim, H, Lee, G, and Song, C. Effect of functional electrical stimulation with mirror therapy on upper extremity motor function in poststroke patients. J Stroke Cerebrovasc Dis. (2014) 23:655–61. doi: 10.1016/j.jstrokecerebrovasdis.2013.06.017

PubMed Abstract | Crossref Full Text | Google Scholar

18. Salhab, G, Sarraj, AR, and Saleh, S. Mirror therapy combined with functional electrical stimulation for rehabilitation of stroke survivors' ankle dorsiflexion. Conf Proc IEEE Eng Med Biol Soc. (2016) 2016:4699–702. doi: 10.1109/EMBC.2016.7591776

PubMed Abstract | Crossref Full Text | Google Scholar

19. Lee, D, Lee, G, and Jeong, J. Mirror therapy with neuromuscular electrical stimulation for improving motor function of stroke survivors: a pilot randomized clinical study. Technol Health Care. (2016) 24:503–11. doi: 10.3233/THC-161144

PubMed Abstract | Crossref Full Text | Google Scholar

20. Arya, KN, Pandian, S, and Kumar, D. Task-based mirror therapy enhances ipsilesional motor functions in stroke: a pilot study. J Bodyw Mov Ther. (2017) 21:334–41. doi: 10.1016/j.jbmt.2016.08.001

PubMed Abstract | Crossref Full Text | Google Scholar

21. Saleh, S, Adamovich, SV, and Tunik, E. Mirrored feedback in chronic stroke: recruitment and effective connectivity of ipsilesional sensorimotor networks. Neurorehabil Neural Repair. (2014) 28:344–54. doi: 10.1177/1545968313513074

PubMed Abstract | Crossref Full Text | Google Scholar

22. Hsu, YF, Huang, YZ, Lin, YY, Tang, CW, Liao, KK, Lee, PL, et al. Intermittent theta burst stimulation over ipsilesional primary motor cortex of subacute ischemic stroke patients: a pilot study. Brain Stimul. (2013) 6:166–74. doi: 10.1016/j.brs.2012.04.007

PubMed Abstract | Crossref Full Text | Google Scholar

23. Guo, F, Xu, Q, Abo Salem, HM, Yao, Y, Lou, J, and Huang, X. The neuronal correlates of mirror therapy: a functional magnetic resonance imaging study on mirror-induced visual illusions of ankle movements. Brain Res. (2016) 1639:186–93. doi: 10.1016/j.brainres.2016.03.002

PubMed Abstract | Crossref Full Text | Google Scholar

24. Arya, KN, Pandian, S, Kumar, D, and Puri, V. Task-based Mirror therapy augmenting motor recovery in Poststroke hemiparesis: a randomized controlled trial. J Stroke Cerebrovasc Dis. (2015) 24:1738–48. doi: 10.1016/j.jstrokecerebrovasdis.2015.03.026

PubMed Abstract | Crossref Full Text | Google Scholar

25. Iezzi, E, Conte, A, Suppa, A, Agostino, R, Dinapoli, L, Scontrini, A, et al. Phasic voluntary movements reverse the aftereffects of subsequent theta-burst stimulation in humans. J Neurophysiol. (2008) 100:2070–6. doi: 10.1152/jn.90521.2008

PubMed Abstract | Crossref Full Text | Google Scholar

26. Badke, MB, and Duncan, PW. Patterns of rapid motor responses during postural adjustments when standing in healthy subjects and hemiplegic patients. Phys Ther. (1983) 63:13–20. doi: 10.1093/ptj/63.1.13

PubMed Abstract | Crossref Full Text | Google Scholar

27. Gladstone, DJ, Danells, CJ, and Black, SE. The fugl-meyer assessment of motor recovery after stroke: a critical review of its measurement properties. Neurorehabil Neural Repair. (2002) 16:232–40. doi: 10.1177/154596802401105171

PubMed Abstract | Crossref Full Text | Google Scholar

28. Hinkle, JL. Reliability and validity of the National Institutes of Health stroke scale for neuroscience nurses. Stroke. (2014) 45:e32–4. doi: 10.1161/STROKEAHA.113.004243

PubMed Abstract | Crossref Full Text | Google Scholar

29. Cid-Ruzafa, J, and Damian-Moreno, J. Disability evaluation: Barthel's index. Rev Esp Salud Publica. (1997) 71:127–37.

Google Scholar

30. Wong, GK, Lam, SW, Ngai, K, Wong, A, Poon, WS, and Mok, V. Development of a short form of stroke-specific quality of life scale for patients after aneurysmal subarachnoid hemorrhage. J Neurol Sci. (2013) 335:204–9. doi: 10.1016/j.jns.2013.09.033

PubMed Abstract | Crossref Full Text | Google Scholar

31. Rossini, PM, Calautti, C, Pauri, F, and Baron, JC. Post-stroke plastic reorganisation in the adult brain. Lancet Neurol. (2003) 2:493–502. doi: 10.1016/S1474-4422(03)00485-X

PubMed Abstract | Crossref Full Text | Google Scholar

32. Nojima, I, Mima, T, Koganemaru, S, Thabit, MN, Fukuyama, H, and Kawamata, T. Human motor plasticity induced by mirror visual feedback. J Neurosci. (2012) 32:1293–300. doi: 10.1523/JNEUROSCI.5364-11.2012

PubMed Abstract | Crossref Full Text | Google Scholar

33. Garrison, KA, Winstein, CJ, and Aziz-Zadeh, L. The mirror neuron system: a neural substrate for methods in stroke rehabilitation. Neurorehabil Neural Repair. (2010) 24:404–12. doi: 10.1177/1545968309354536

PubMed Abstract | Crossref Full Text | Google Scholar

34. Neva, JL, Vesia, M, Singh, AM, and Staines, WR. Modulation of left primary motor cortex excitability after bimanual training and intermittent theta burst stimulation to left dorsal premotor cortex. Behav Brain Res. (2014) 261:289–96. doi: 10.1016/j.bbr.2013.12.029

PubMed Abstract | Crossref Full Text | Google Scholar

35. He, W, Au-Yeung, SY, Mak, M, Au-Yeung, S-y S, Leung, TWH, Leung, H, et al. The potential synergism by combining external counterpulsation with intermittent theta burst stimulation in post-stroke motor function recovery. Med Hypotheses. (2016) 93:140–2. doi: 10.1016/j.mehy.2016.05.024

PubMed Abstract | Crossref Full Text | Google Scholar

36. Zhang, JJ, Bai, Z, and Fong, KNK. Priming intermittent Theta burst stimulation for Hemiparetic upper limb after stroke: a randomized controlled trial. Stroke. (2022) 53:2171–81. doi: 10.1161/STROKEAHA.121.037870

PubMed Abstract | Crossref Full Text | Google Scholar

37. Läppchen, CH, Ringer, T, Blessin, J, Schulz, K, Seidel, G, Lange, R, et al. Daily iTBS worsens hand motor training—a combined TMS, fMRI and mirror training study. NeuroImage. (2015) 107:257–65. doi: 10.1016/j.neuroimage.2014.12.022

PubMed Abstract | Crossref Full Text | Google Scholar

38. Läppchen, CH, Ringer, T, Blessin, J, Seidel, G, Grieshammer, S, Lange, R, et al. Optical illusion alters M1 excitability after mirror therapy: a TMS study. J Neurophysiol. (2012) 108:2857–61. doi: 10.1152/jn.00321.2012

PubMed Abstract | Crossref Full Text | Google Scholar

39. Bhasin, A, Padma Srivastava, MV, Kumaran, SS, Bhatia, R, and Mohanty, S. Neural interface of mirror therapy in chronic stroke patients: a functional magnetic resonance imaging study. Neurol India. (2012) 60:570–6. doi: 10.4103/0028-3886.105188

PubMed Abstract | Crossref Full Text | Google Scholar

40. Michielsen, ME, Selles, RW, Van Der Geest, JN, Eckhardt, M, Yavuzer, G, Stam, HJ, et al. Motor recovery and cortical reorganization after mirror therapy in chronic stroke patients: a phase II randomized controlled trial. Neurorehabil Neural Repair. (2011) 25:223–33. doi: 10.1177/1545968310385127

PubMed Abstract | Crossref Full Text | Google Scholar

41. Babacan-Yildiz, G, Ur-Ozcelik, E, Kolukisa, M, Turan Işik, A, Gürsoy, E, Kocaman, G, et al. Validity and reliability studies of modified Mini mental state examination (MMSE-E) for Turkish illiterate patients with diagnosis of Alzheimer disease. Turk Psikiyatri Derg. (2016) 27:41–6.

Google Scholar

42. Rossi, S, Hallett, M, Rossini, PM, and Pascual-Leone, ASafety of TMS Consensus Group. Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research. Clin Neurophysiol. (2009) 120:2008–39. doi: 10.1016/j.clinph.2009.08.016

PubMed Abstract | Crossref Full Text | Google Scholar

43. Akpinar, P, Atici, A, Ozkan, FU, Aktas, I, Kulcu, DG, Sarı, A, et al. Reliability of the modified Ashworth scale and modified Tardieu scale in patients with spinal cord injuries. Spinal Cord. (2017) 55:944–9. doi: 10.1038/sc.2017.48

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: stroke, mirror therapy, theta burst stimulation, upper limb function, motor evoked potential

Citation: Zhou J, Chen M, Dong L, Zheng C, Xu J, Zhang Y and Liu Y (2025) Effects of mirror therapy combined with theta burst stimulation on motor recovery of upper limbs after stroke: a randomized controlled study. Front. Neurol. 16:1548703. doi: 10.3389/fneur.2025.1548703

Received: 20 December 2024; Accepted: 01 July 2025;
Published: 11 July 2025.

Edited by:

Pawel Kiper, San Camillo Hospital (IRCCS), Italy

Reviewed by:

Georgios Naros, University of Tübingen, Germany
Jihua ZOU, Southern Medical University, China

Copyright © 2025 Zhou, Chen, Dong, Zheng, Xu, Zhang and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: YaLi Liu, bGl1eWFsaTc0QDEyNi5jb20=; YangPu Zhang, MTkwOTk2MDIwMEBxcS5jb20=

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