Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
40 participants
INTERVENTIONAL
2021-01-16
2021-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
QUADRUPLE
Study Groups
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Rehabilitative BCI training
The experimental group will receive brain computer interface-based lower limb function training (BCI-LLT), 30 minutes/time, 5 times/week, with a 4-week training period.. The training using the lower limb orthosis targeted the patient's ability to walk.
Non-invasive BCI training
In the experimental group, the participants receive non-invasive rehabilitative BCI training. The training using the lower limb orthosis targeted the patient's ability to walk.
Traditional physical therapy protocol
The control group will only receive traditional physical therapy protocol. The traditional physical therapy protocol of lower limb conducted with the same treatment frequency, intensity and duration of treatment, including muscle strength training, balance training and walking training, etc.
Traditional Physiotherapy protocol
In the control group,the participants receive the traditional physiotherapy protocol, including muscle strength training, balance training and walking training, etc.
Interventions
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Non-invasive BCI training
In the experimental group, the participants receive non-invasive rehabilitative BCI training. The training using the lower limb orthosis targeted the patient's ability to walk.
Traditional Physiotherapy protocol
In the control group,the participants receive the traditional physiotherapy protocol, including muscle strength training, balance training and walking training, etc.
Eligibility Criteria
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Inclusion Criteria
2. 35 ≤ age ≤ 60 .
3. Onset (last-seen-well) time to randomization time from 24-72 hours.
4. First onset.
5. The lesion is assessed by MRI as a single subcortical infarction of the anterior circulation.
6. 5 ≤NIHSS≤15 (and 1 ≤6a/b≤3 ).
7. 1 ≤FAC functional walking scale score ≤ 3.
8. Signed informed consent from subject or legally authorized representative.
Exclusion Criteria
2. Progressive stroke.
3. Patients have received intravenous thrombolysis or endovascular treatment.
4. Cardiogenic cerebral embolism.
5. Presence of moderate or higher vascular stenosis or vulnerable plaque based on Imaging assessment.
6. With other diseases of the nervous system.
7. With serious diseases of other systems (severe circulatory system, respiratory system, motor system) and other diseases unsuitable for training, such as atrial fibrillation, heart failure, lung infection, severe liver or kidney insufficiency, lower extremity venous thrombosis.
8. Lower limb dysfunction caused by other reasons, such as fracture, lower limb deformity, etc.
9. With contraindications in imaging examinations, such as metal implantation, fear of claustrophobia, and severe obesity.
10. Patient who cannot cooperate with training, such as mental disorders, cognitive dysfunction, Mini-Mental State Examination (MMSE) \<21 points, etc.
11. Other reasons: alcoholism; pregnancy; skull defect; indwelling urinary catheter; vision defects affect training, etc.
35 Years
60 Years
ALL
No
Sponsors
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Xuanwu Hospital, Beijing
OTHER
Responsible Party
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Principal Investigators
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Guoguang Zhao
Role: PRINCIPAL_INVESTIGATOR
Xuanwu Hospital, Beijing
Central Contacts
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References
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Jackson A, Zimmermann JB. Neural interfaces for the brain and spinal cord--restoring motor function. Nat Rev Neurol. 2012 Dec;8(12):690-9. doi: 10.1038/nrneurol.2012.219. Epub 2012 Nov 13.
Ramos-Murguialday A, Broetz D, Rea M, Laer L, Yilmaz O, Brasil FL, Liberati G, Curado MR, Garcia-Cossio E, Vyziotis A, Cho W, Agostini M, Soares E, Soekadar S, Caria A, Cohen LG, Birbaumer N. Brain-machine interface in chronic stroke rehabilitation: a controlled study. Ann Neurol. 2013 Jul;74(1):100-8. doi: 10.1002/ana.23879. Epub 2013 Aug 7.
Lopez-Larraz E, Sarasola-Sanz A, Irastorza-Landa N, Birbaumer N, Ramos-Murguialday A. Brain-machine interfaces for rehabilitation in stroke: A review. NeuroRehabilitation. 2018;43(1):77-97. doi: 10.3233/NRE-172394.
Chaudhary U, Birbaumer N, Ramos-Murguialday A. Brain-computer interfaces for communication and rehabilitation. Nat Rev Neurol. 2016 Sep;12(9):513-25. doi: 10.1038/nrneurol.2016.113. Epub 2016 Aug 19.
Lebedev MA, Nicolelis MA. Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. Physiol Rev. 2017 Apr;97(2):767-837. doi: 10.1152/physrev.00027.2016.
Donati AR, Shokur S, Morya E, Campos DS, Moioli RC, Gitti CM, Augusto PB, Tripodi S, Pires CG, Pereira GA, Brasil FL, Gallo S, Lin AA, Takigami AK, Aratanha MA, Joshi S, Bleuler H, Cheng G, Rudolph A, Nicolelis MA. Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients. Sci Rep. 2016 Aug 11;6:30383. doi: 10.1038/srep30383.
Selfslagh A, Shokur S, Campos DSF, Donati ARC, Almeida S, Yamauti SY, Coelho DB, Bouri M, Nicolelis MAL. Non-invasive, Brain-controlled Functional Electrical Stimulation for Locomotion Rehabilitation in Individuals with Paraplegia. Sci Rep. 2019 May 1;9(1):6782. doi: 10.1038/s41598-019-43041-9.
Other Identifiers
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LYS[2020]-133
Identifier Type: -
Identifier Source: org_study_id
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