- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04188132
EEG Based BCI for Upper Limb Rehabilitation in Stroke
EEG Based Brain Computer Interface in Chronic Stroke Survivors for Upper Limb Rehabilitation- A Pilot Study Using Motor Execution and Motor Imagery
Biomedical and Engineering approaches form a key element to neurological rehabilitation of upper limbs. Brain Computer Interface (BCI) using Motor execution and Motor Imagery are known to aid motor recovery in stroke. The purpose of this study is to demonstrate that Noninvasive Sensorimotor Rhythm (SMR) based EEG based BCI using motor execution and Motor Imagery tasks can aid in rehabilitation of upper limb movements in chronic stroke.
The project aims to explore an SMR-based BCI system that can exploit the sensorimotor rhythm voluntary modulation to play a virtual game as neurofeedback using motor executory tasks and imagined hand movements by stroke patients, who suffer from upper limb disability.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Brain Computer Interface (BCI) using Motor execution and Motor Imagery are known to aid motor recovery in stroke. The purpose of this study is to demonstrate that Noninvasive Sensorimotor Rhythm (SMR) based EEG based BCI using motor execution and Motor Imagery tasks can aid in rehabilitation of upper limb movements in chronic stroke.
The project aims to explore an SMR-based BCI system that can exploit the sensorimotor rhythm voluntary modulation to play a virtual game as neurofeedback using motor executory tasks and imagined hand movements by stroke patients, who suffer from upper limb disability. Studies have shown that movement and motor imagery (MI) (i.e., the mental rehearsal of a movement without any activation of the muscles) induce similar EEG patterns over the motor cortex.
Movement execution, preparation and even observation are usually accompanied by a decrease in µ- and β-rhythm in the cortical area representing the involved body segment. Such a reduction is called event-related desynchronization (ERD).The increase in µ-rhythm, i.e. event-related synchronization (ERS), is observed in the regions of the brain representing body segments, which are not involved in the task.This study is a pilot study to examine the feasibility of a SMR based EEG BCI using motor task and motor imagery and involve a gaming feedback for same.
The first two days will be used for calibrating the BMI using commands in computer screen followed by further two days for testing the BMI and feedback control during gaming in computer to move the ball in the computer screen.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Subasree R
- Phone Number: 8326721522
- Email: subasree.ramakrishnan@gmail.com
Study Contact Backup
- Name: Jose CL Vidal
- Phone Number: 7137434400
- Email: jlcontr2@central.uh.edu
Study Locations
-
-
Texas
-
Houston, Texas, United States, 77025
- Recruiting
- Subasree Ramakrishnan
-
Contact:
- Subasree R
- Phone Number: 832-672-1522
- Email: sramakr3@central.uh.edu
-
Contact:
- Jose CL Vidal, PhD
- Phone Number: 713 7434429
- Email: jlcontr2@central.uh.edu
-
Sub-Investigator:
- Andrew Paek, RA
-
Sub-Investigator:
- Akshay Ravindran, RA
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
• age: 21-75 years
- Subacute or chronic stroke; interval of at least 3 months and interval of at least 6 months from stroke to time of enrollment, respectively.
- no cerebellar signs or bilateral motor deficit
- Cognitive ability to consent, assimilate, and participate actively in the treatment protocol (Mini Mental State Examination score > 24 points, out of a total 30 indicating normal cognitive ability);
- Modified Rankin scale scores 1-3 (Mild-Moderate functional disability post-stroke);
- Modified Ashworth Scale of Spasticity score <= 3 (ranges from 0-4 with 4 reflecting maximum spasticity)
No epilepsy /usage of antiepileptic drug
◦ Subjects with Stroke will be included if they have:
- unilateral impaired upper limb
- Able to initiate hand movements like opening and closing fist and no joint contracture or severe spasticity in the affected upper limbs.
- Sufficient sitting balance to participate in experimental activities.
- No condition (e.g. severe arthritis, central pain) that would interfere with the administration of motor function tests.
- English-language comprehension and cognitive ability sufficient to give informed consent (MMSE >=24) and to cooperate with the intervention.
Exclusion Criteria:
• Orthopedic conditions of either upper or lower extremity that would affect performance on the study
- untreated depression that may affect motivation to participate in the study
- vascular cognitive impairment interfering with comprehending the tasks
- Individuals with stroke who have been diagnosed with cognitive or severe visual deficits, hemineglect, uncontrolled angina, or pregnancy
no psychiatric or neurological condition other than stroke
◦ Stroke will be excluded if they have:
- Pregnancy (Self -reported)
- Dementia (MMSE score less than 24)
- Recurrence of stroke (Occurrence of new focal deficits reported by patient or detected by PI on examination during visits)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: HEALTH_SERVICES_RESEARCH
- Allocation: NA
- Interventional Model: SINGLE_GROUP
- Masking: NONE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
EXPERIMENTAL: EEG BCI closed loop feedback for rehabilitation of upper limb
This study is a pilot study to examine the feasibility of a SMR based EEG BCI using motor task and motor imagery and involve a gaming feedback for same. The first two days will be used for calibrating the BMI using commands in computer screen followed by further two days for testing the BMI and feedback control during gaming in computer to move the ball in the computer screen. |
Subjects will undergo EEG based BCI as feedback for rehabilitation
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Fugl-Meyer Assessment score (Upper limb)(Min0-Max66;Total 66)
Time Frame: 4 days
|
Change in Hand strength
|
4 days
|
Decoding motor intent of hand movements using Scalp Electroencephalography(EEG)
Time Frame: 4 days
|
Electroencephalographic spectral power changes during Motor execution and Motor Imagery of hand movements in stroke subjects
|
4 days
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Subasree R, University of Houston
Publications and helpful links
General Publications
- Daly JJ, Wolpaw JR. Brain-computer interfaces in neurological rehabilitation. Lancet Neurol. 2008 Nov;7(11):1032-43. doi: 10.1016/S1474-4422(08)70223-0. Epub 2008 Oct 2.
- 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.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Primary Completion (ANTICIPATED)
Study Completion (ANTICIPATED)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- STUDY00001846
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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