The long-term goal of this research project is to understand the complicated origins of muscle weakness after a hemispheric stroke, and also to explore the origins of the associated muscle fiber loss, contracture, and other key intrinsic property changes of the spastic-paretic muscles. Specifically, we seek to use the most recent advances in high density surface electromyogram (EMG) recording and processing techniques to determine whether these features involve alterations in different motor unit components after an upper motoneuron lesion. The basic clinical and research questions will be addressed via four specific aims.
Aim 1 is to assess whether there is active motoneuron degeneration or signs of impending motoneuron death, by examining the patterns of spontaneous discharge in resting paretic muscles of stroke survivors.
Aim 2 is to assess whether there is evidence for spinal motoneuron degeneration by estimating the motor unit number loss in paretic muscles of stroke survivors.
Aim 3 is to examine alterations in motor unit control properties post stroke using recent advances in high density surface EMG decomposition.
Aim 4 is to examine muscle fiber atrophy, denervation/reinnervation changes post stroke using a range of novel quantitative motor unit action potential (MUAP) analyses. Beyond the major scope of the proposal, several pilot studies are planned as well to extract as much useful information as possible for an improved understanding of motor unit property in stroke. The proposed research using novel high density surface EMG techniques will enhance our understanding of the pathophysiology of muscle weakness and other associated changes after stroke, thus providing guidance for the development of rehabilitation strategies and devices for restoration of normal muscle functions. The findings from the novel high density surface EMG techniques will also have important clinical value to diagnosis, examination and medication/therapy study of stroke.

Public Health Relevance

The proposed research using novel surface EMG techniques will enhance our understanding of the complicated origins of stroke induced muscle weakness and the associated muscle fiber loss, contracture, intrinsic mechanical property changes of the spastic-paretic muscles. This will provide guidance for the development of rehabilitation strategies and devices for restoration of normal muscle functions. The findings of the proposed research also have important clinical value to diagnosis, examination and medication/therapy study of stroke.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS080839-04
Application #
9320864
Study Section
Motor Function, Speech and Rehabilitation Study Section (MFSR)
Program Officer
Chen, Daofen
Project Start
2014-08-15
Project End
2019-01-31
Budget Start
2017-08-01
Budget End
2019-01-31
Support Year
4
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Texas Health Science Center Houston
Department
Physical Medicine & Rehab
Type
Schools of Medicine
DUNS #
800771594
City
Houston
State
TX
Country
United States
Zip Code
77030
Tang, Xiao; Zhang, Xu; Gao, Xiaoping et al. (2018) A Novel Interpretation of Sample Entropy in Surface Electromyographic Examination of Complex Neuromuscular Alternations in Subacute and Chronic Stroke. IEEE Trans Neural Syst Rehabil Eng 26:1878-1888
Yao, Bo; Klein, Cliff S; Hu, Huijing et al. (2018) Motor Unit Properties of the First Dorsal Interosseous in Chronic Stroke Subjects: Concentric Needle and Single Fiber EMG Analysis. Front Physiol 9:1587
Li, Xiaoyan; Li, Le; Shin, Henry et al. (2017) Electrical Impedance Myography for Evaluating Paretic Muscle Changes After Stroke. IEEE Trans Neural Syst Rehabil Eng 25:2113-2121
Li, Xiaoyan; Shin, Henry; Li, Le et al. (2017) Assessing the immediate impact of botulinum toxin injection on impedance of spastic muscle. Med Eng Phys 43:97-102
Li, Xiaoyan; Shin, Henry; Li, Sheng et al. (2017) Assessing muscle spasticity with Myotonometric and passive stretch measurements: validity of the Myotonometer. Sci Rep 7:44022
Zhang, Xu; Wei, Zhongqing; Ren, Xiaoting et al. (2017) Complex Neuromuscular Changes Post-Stroke Revealed by Clustering Index Analysis of Surface Electromyogram. IEEE Trans Neural Syst Rehabil Eng 25:2105-2112
Li, Xiaoyan; Nandedkar, Sanjeev D; Zhou, Ping (2016) Modified motor unit number index: A simulation study of the first dorsal interosseous muscle. Med Eng Phys 38:115-20
Chen, Maoqi; Holobar, Ales; Zhang, Xu et al. (2016) Progressive FastICA Peel-Off and Convolution Kernel Compensation Demonstrate High Agreement for High Density Surface EMG Decomposition. Neural Plast 2016:3489540
Li, Le; Shin, Henry; Li, Xiaoyan et al. (2016) Localized Electrical Impedance Myography of the Biceps Brachii Muscle during Different Levels of Isometric Contraction and Fatigue. Sensors (Basel) 16:
Li, Xiaoyan; Fisher, Morris; Rymer, William Zev et al. (2016) Application of the F-Response for Estimating Motor Unit Number and Amplitude Distribution in Hand Muscles of Stroke Survivors. IEEE Trans Neural Syst Rehabil Eng 24:674-81

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