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Spinal Cord Stimulation Combined With Motor Imagery Brain-Computer Interface for Chronic Post-Stroke Upper Limb Motor Dysfunction

A Prospective, Single-Center, Non-Randomized, Parallel-Controlled Study to Evaluate the Efficacy and Safety of Spinal Cord Stimulation Combined With Non-Invasive Motor Imagery Brain-Computer Interface Rehabilitation Training for Upper Limb Motor Dysfunction in Patients With Chronic Stroke

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07686822
Enrollment
66
Registered
2026-07-07
Start date
2026-09-01
Completion date
2028-05-01
Last updated
2026-07-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Stroke

Keywords

Stroke rehabilitation, Upper limb motor dysfunction, Spinal cord stimulation, Motor imagery brain-computer interface, Brain-computer interface, Neuromodulation, Neuroplasticity, Upper limb rehabilitation

Brief summary

This clinical study aims to evaluate the efficacy and safety of spinal cord stimulation combined with non-invasive motor imagery brain-computer interface rehabilitation training in patients with upper limb motor dysfunction after chronic stroke. The study includes an experimental group receiving spinal cord stimulation combined with motor imagery brain-computer interface rehabilitation training and a control group receiving motor imagery brain-computer interface rehabilitation training alone. The primary outcome is upper limb motor function assessed by the Fugl-Meyer Assessment for Upper Extremity. Secondary outcomes include muscle tone, upper limb functional activity, activities of daily living, adverse events, serious adverse events, and exploratory neurophysiological and neuroimaging indicators.

Detailed description

Upper limb motor dysfunction is a common and disabling sequela of stroke. Many patients enter a chronic phase more than 6 months after stroke onset, during which spontaneous recovery and conventional rehabilitation-related improvement often reach a plateau. Motor imagery brain-computer interface rehabilitation can decode motor intention from electroencephalographic signals and provide closed-loop feedback through external devices, thereby promoting cortical reorganization. However, in patients with impaired corticospinal pathways and insufficient residual motor execution capacity, the efficacy of motor imagery brain-computer interface training alone may be limited. Spinal cord stimulation may facilitate spinal motor circuits, reduce abnormal muscle tone, and improve the excitability of residual descending motor pathways. Combining spinal cord stimulation with motor imagery brain-computer interface training may provide a synergistic central-peripheral neuromodulation strategy. The brain-computer interface decodes motor intention from the central nervous system, while spinal cord stimulation facilitates peripheral motor pathway execution, potentially enhancing motor recovery and neuroplasticity. Participants will be assigned, according to patient preference and investigator assessment, to either the experimental group or the control group. The experimental group will undergo spinal cord stimulation implantation followed by individualized stimulation programming and standardized motor imagery brain-computer interface rehabilitation training. The control group will receive the same frequency and duration of motor imagery brain-computer interface rehabilitation training without spinal cord stimulation implantation. Clinical outcomes will be assessed at baseline, after 4 weeks of intervention, 2 months after intervention, and 3 months after intervention. Safety events will be recorded throughout the study. Exploratory assessments will include electroencephalography and neuroimaging to investigate potential mechanisms of neuroplasticity.

Interventions

DEVICESpinal Cord Stimulation

Spinal cord stimulation will be delivered through epidural electrodes implanted at cervical spinal cord levels, typically C3-C7 for upper limb dysfunction. Stimulation parameters will be individually optimized within clinically safe and device-permitted ranges, including frequency, pulse width, amplitude, electrode configuration, and stimulation mode.

DEVICEMotor Imagery Brain-Computer Interface Rehabilitation Training

Motor imagery brain-computer interface training will use a 64-channel medical-grade electroencephalography cap to acquire scalp EEG signals. Participants will perform motor imagery tasks involving the affected upper limb, such as grasping, elbow extension, or wrist lifting. Sensorimotor rhythm features, especially mu rhythm and beta rhythm event-related desynchronization, will be extracted in real time. When significant event-related desynchronization is detected, the system will trigger external feedback, such as a soft robotic glove or functional electrical stimulation, to assist the affected limb in completing the target movement.

Sponsors

Zhejiang Provincial People's Hospital
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No

Inclusion criteria

* Age 18 to 75 years. * First-ever unilateral supratentorial stroke, either ischemic or hemorrhagic, confirmed by computed tomography or magnetic resonance imaging, resulting in hemiparesis, with disease duration longer than 6 months. * At least one active movement in the wrist or fingers of the affected upper limb, with muscle strength of grade 1 or higher. * Fugl-Meyer Assessment for Upper Extremity score between 10 and 40, indicating moderate upper limb motor impairment. * Change in Fugl-Meyer Assessment score less than 10% within the previous month, indicating a functional plateau. * Clear consciousness and basically normal cognitive function, with Mini-Mental State Examination score of 24 or higher. * Stable clinical condition and ability to understand and cooperate with simple instructions and rehabilitation training. * Written informed consent voluntarily signed by the participant or legal guardian.

Exclusion criteria

* Other neurological diseases that may cause motor dysfunction, such as Parkinson's disease, multiple sclerosis, or spinal cord injury. * Severe visual or auditory impairment that prevents cooperation with visual or auditory feedback instructions of the brain-computer interface system. * Contraindications to spinal cord stimulation surgery, such as severe coagulation dysfunction, infection at the puncture site, severe spinal deformity, or spinal canal stenosis. * History of epilepsy, intracranial metal implants, cardiac pacemaker, or other contraindications to magnetic resonance imaging. * Previous neuromodulation surgery for hemiparesis, such as spinal cord stimulation or deep brain stimulation. * Pregnancy or lactation. * Any other condition judged by the investigator to make the participant unsuitable for this study.

Design outcomes

Primary

MeasureTime frameDescription
Change in Fugl-Meyer Assessment for Upper Extremity ScoreBaseline, Week 4, Week 8, and Week 12The Fugl-Meyer Assessment for Upper Extremity will be used to evaluate motor function recovery of the affected upper limb.

Secondary

MeasureTime frameDescription
Change in Modified Ashworth Scale ScoreBaseline, Week 4, Week 8, and Week 12The Modified Ashworth Scale will be used to assess muscle tone and spasticity of the affected upper limb.
Change in Action Research Arm Test ScoreBaseline, Week 4, Week 8, and Week 12The Action Research Arm Test will be used to assess functional activity of the affected upper limb, including grasp, grip, pinch, and gross movement.
Change in Modified Barthel Index ScoreBaseline, Week 4, Week 8, and Week 12The Modified Barthel Index will be used to assess activities of daily living.
Incidence of Adverse Events and Serious Adverse EventsFrom enrollment to Week 12All adverse events and serious adverse events will be recorded and assessed throughout the study. Spinal cord stimulation-related adverse events may include intraoperative or postoperative bleeding, infection, cerebrospinal fluid leakage, electrode migration or fracture, implant rejection, postoperative pain, and neurological injury. Motor imagery brain-computer interface-related adverse events may include dizziness, visual fatigue, skin allergy related to electrode gel, training-related fatigue, and other discomfort.

Countries

China

Contacts

CONTACTFaliang Gao, PhD
gaofaliang1985@126.com+86-571-85893451

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 8, 2026