Journal
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
Volume 29, Issue -, Pages 1568-1572Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNSRE.2021.3102493
Keywords
Muscles; Electroencephalography; Torque; Band-pass filters; Electromyography; Shoulder; Elbow; Brain-muscle connectivity; hemiparetic stroke; movement impairment; nonlinear analysis
Categories
Funding
- National Institutes of Health (NIH) [5R21HD099710, 5P20GM121312, R01NS105759]
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A hallmark impairment in stroke patients is the loss of independent joint control leading to abnormal co-activation of shoulder abductor and elbow flexor muscles. The study suggests that increased reliance on contralesional indirect motor pathways may cause this flexion synergy. By assessing brain-muscle connectivity, researchers found that nonlinear connectivity may indicate the usage of indirect motor pathways following a hemiparetic stroke.
A hallmark impairment in a hemiparetic stroke is a loss of independent joint control resulting in abnormal co-activation of shoulder abductor and elbow flexor muscles in their paretic arm, clinically known as the flexion synergy. The flexion synergy appears while generating shoulder abduction (SABD) torques as lifting the paretic arm. This likely be caused by an increased reliance on contralesional indirect motor pathways following damage to direct corticospinal projections. The assessment of functional connectivity between brain and muscle signals, i.e., brain-muscle connectivity (BMC), may provide insight into such changes to the usage of motor pathways. Our previous model simulation shows that multi-synaptic connections along the indirect motor pathway can generate nonlinear connectivity. We hypothesize that increased usage of indirect motor pathways (as increasing SABD load) will lead to an increase of nonlinear BMC. To test this hypothesis, we measured brain activity, muscle activity from shoulder abductors when stroke participants generate 20% and 40% of maximum SABD torque with their paretic arm. We computed both linear and nonlinear BMC between EEG and EMG. We found dominant nonlinear BMC at contralesional/ipsilateral hemisphere for stroke, whose magnitude increased with the SABD load. These results supported our hypothesis and indicated that nonlinear BMC could provide a quantitative indicator for determining the usage of indirect motor pathways following a hemiparetic stroke.
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