Improving Independent Multi-joint Arm Control After Stroke
NCT ID: NCT06523335
Last Updated: 2024-07-26
Study Results
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Basic Information
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RECRUITING
NA
74 participants
INTERVENTIONAL
2024-09-01
2029-09-01
Brief Summary
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1. \- To identify whether features of aberrant intermuscular coordination patterns can be used to predict motor impairment after stroke.
2. \- To test whether muscle synergies are malleable to a non-invasive EMG-guided exercise that induces changes in intermuscular coordination of upper extremity muscles after stroke.
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Detailed Description
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For the first purpose, intermuscular coordination patterns emerging under isometric reaching and dynamic conditions will be identified to predict impairment of both non-motion or motion-involved task performance and severity of motor impairment after stroke. This aim will enroll 15 age-matched (age of 40-75 yo) healthy adults and 25 adult (age of 40-75 yo) stroke survivors. Each stroke participant will have two visit sessions while age-matched will have a single measurement session.
For the second purpose, in total, 74 stroke survivors will perform an electromyographic signal-guided exercise through human-machine interaction to ameliorate motor impairment post-stroke by normalizing abnormal intermuscular coordination patterns in the arm after stroke, and improve motor impairment; also, assessment of the intermuscular coordination, UE Fugl-Meyer (FM), and Action Research Arm Test (ARAT) will be performed. Participants will have three visits per week for six weeks for training sessions. Finally, to test retention of the intervention effect, they will perform two assessment sessions one and three months after finishing the training.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
NONE
Study Groups
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Neuromuscular coordination-guided rehabilitative training
Post-stroke participants will perform a center-out task by generating isometric contractions of multiple muscles to move the cursor on a screen while electromyographic (EMG) responses are recorded. Activation of each muscle (or muscle group) will be mapped to 1 of 4 directions within the multi-dimensional cursor space. We will derive the cursor position in real time using EMGs recorded from multiple arm muscles.
Neuromuscular coordination-guided rehabilitative training
During training exercise, post-stroke participants will be asked to match the targets on the screen. The experimental group will match them by activating a specific set of muscle. During assessment trials, a physical therapist or occupational therapist will rate the functional level of arm impairment using FMA and ARAT.
Force strengthening-guided rehabilitative training
Post-stroke participants will perform a center-out task by generating isometric force to move the cursor on a screen. Participants will generate isometric force, which will move their cursor on the monitor. They will be trained to match one of the four force targets on display. We will derive the cursor position in real time using three forces (Fx, Fy, and Fz) measured at the load cell.
Force strengthening-guided rehabilitative training
During training exercise, post-stroke participants will be asked to match the targets on the screen. The active comparator group will match them by generating isometric force in a desired target direction. During assessment trials, a physical therapist or occupational therapist will rate the functional level of arm impairment using FMA and ARAT.
Interventions
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Neuromuscular coordination-guided rehabilitative training
During training exercise, post-stroke participants will be asked to match the targets on the screen. The experimental group will match them by activating a specific set of muscle. During assessment trials, a physical therapist or occupational therapist will rate the functional level of arm impairment using FMA and ARAT.
Force strengthening-guided rehabilitative training
During training exercise, post-stroke participants will be asked to match the targets on the screen. The active comparator group will match them by generating isometric force in a desired target direction. During assessment trials, a physical therapist or occupational therapist will rate the functional level of arm impairment using FMA and ARAT.
Eligibility Criteria
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Inclusion Criteria
* no known neurological injuries
* male or female hemiparetic chronic stroke survivors;
* age ranging between 40-75 year;
* with single unilateral ischemic or hemorrhagic middle cerebral artery stroke;
* neurologically stable for \>6 months;
* have an expectation that current medication will be maintained without changes for at least 3 months. Stable use of anti-spasticity medication (e.g., baclofen, diazepam, tizanidine) is accepted;
* without severe spasticity (Modified Ashworth (MA) \<4);
* have not received botulinum toxin on the impaired arm within 3 months.
Exclusion Criteria
* have a history of any neurologic disease;
* have any history of epilepsy of the potential participants and/or their family members;
* are unable to consent;
* are pregnant.
* have an orthopedic disorder involving upper limbs;
* cognitive impairment sufficient to interfere with informed consent or successful completion of the protocol (Montreal Cognitive Assessment (MoCA) score \< 26);
* a history of another neurologic disease;
* anesthesia of joint position sense in upper limbs;
* are pregnant or have a chance that they might be (self-reported);
40 Years
75 Years
ALL
Yes
Sponsors
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UT Health Houston
UNKNOWN
Korea Advanced Institute of Science and Technology
OTHER
University of Houston
OTHER
Responsible Party
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Jinsook Roh
Assistant Professor
Principal Investigators
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Jinsook Roh, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Houston
Locations
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University of Houston
Houston, Texas, United States
Countries
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Central Contacts
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Facility Contacts
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References
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Thom T, Haase N, Rosamond W, Howard VJ, Rumsfeld J, Manolio T, Zheng ZJ, Flegal K, O'Donnell C, Kittner S, Lloyd-Jones D, Goff DC Jr, Hong Y, Adams R, Friday G, Furie K, Gorelick P, Kissela B, Marler J, Meigs J, Roger V, Sidney S, Sorlie P, Steinberger J, Wasserthiel-Smoller S, Wilson M, Wolf P; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics--2006 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation. 2006 Feb 14;113(6):e85-151. doi: 10.1161/CIRCULATIONAHA.105.171600. Epub 2006 Jan 11. No abstract available.
Parker VM, Wade DT, Langton Hewer R. Loss of arm function after stroke: measurement, frequency, and recovery. Int Rehabil Med. 1986;8(2):69-73. doi: 10.3109/03790798609166178.
Dewald JP, Pope PS, Given JD, Buchanan TS, Rymer WZ. Abnormal muscle coactivation patterns during isometric torque generation at the elbow and shoulder in hemiparetic subjects. Brain. 1995 Apr;118 ( Pt 2):495-510. doi: 10.1093/brain/118.2.495.
Roh J, Rymer WZ, Beer RF. Robustness of muscle synergies underlying three-dimensional force generation at the hand in healthy humans. J Neurophysiol. 2012 Apr;107(8):2123-42. doi: 10.1152/jn.00173.2011. Epub 2012 Jan 25.
Roh J, Rymer WZ, Perreault EJ, Yoo SB, Beer RF. Alterations in upper limb muscle synergy structure in chronic stroke survivors. J Neurophysiol. 2013 Feb;109(3):768-81. doi: 10.1152/jn.00670.2012. Epub 2012 Nov 14.
Carpinella I, Lencioni T, Bowman T, Bertoni R, Turolla A, Ferrarin M, Jonsdottir J. Effects of robot therapy on upper body kinematics and arm function in persons post stroke: a pilot randomized controlled trial. J Neuroeng Rehabil. 2020 Jan 30;17(1):10. doi: 10.1186/s12984-020-0646-1.
Wright ZA, Rymer WZ, Slutzky MW. Reducing Abnormal Muscle Coactivation After Stroke Using a Myoelectric-Computer Interface: A Pilot Study. Neurorehabil Neural Repair. 2014 Jun;28(5):443-51. doi: 10.1177/1545968313517751. Epub 2013 Dec 27.
Related Links
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Laboratory Webpage
Other Identifiers
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STUDY00001333
Identifier Type: -
Identifier Source: org_study_id
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