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Geed S, Grainger M, Harris-Love ML, Lum PS, Dromerick AW. Shoulder position and handedness differentially affect excitability and intracortical inhibition of hand muscles. Exp Brain Res 2021; 239:1517-1530. [PMID: 33751158 PMCID: PMC8317198 DOI: 10.1007/s00221-021-06077-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/03/2021] [Indexed: 10/22/2022]
Abstract
Individuals with stroke show distinct differences in hand function impairment when the shoulder is in adduction, within the workspace compared to when the shoulder is abducted, away from the body. To better understand how shoulder position affects hand control, we tested the corticomotor excitability and intracortical control of intrinsic and extrinsic hand muscles important for grasp in twelve healthy individuals. Motor evoked potentials (MEP) using single and paired-pulse transcranial magnetic stimulation were elicited in extensor digitorum communis (EDC), flexor digitorum superficialis (FDS), first dorsal interosseous (FDI), and abductor pollicis brevis (APB). The shoulder was fully supported in horizontal adduction (ADD) or abduction (ABD). Separate mixed-effect models were fit to the MEP parameters using shoulder position (or upper-extremity [UE] side) as fixed and participants as random effects. In the non-dominant UE, EDC showed significantly greater MEPs in shoulder ABD than ADD. In contrast, the dominant side EDC showed significantly greater MEPs in ADD compared to ABD; %facilitation of EDC on dominant side showed significant stimulus intensity x position interaction, EDC excitability was significantly greater in ADD at 150% of the resting threshold. Intrinsic hand muscles of the dominant UE received significantly more intracortical inhibition (SICI) when the shoulder was in ADD compared to ABD; there was no position-dependent modulation of SICI on the non-dominant side. Our findings suggest that these resting-state changes in hand muscle excitabilities reflect the natural statistics of UE movements, which in turn may arise from as well as shape the nature of shoulder-hand coupling underlying UE behaviors.
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Affiliation(s)
- Shashwati Geed
- Center for Brain Plasticity and Recovery, Department of Rehabilitation Medicine, Georgetown University Medical Center, Washington, DC, USA.
- Neuroscience Research Center, MedStar National Rehabilitation Hospital, 102 Irving St. NW, 1060, Washington, DC, 0010, USA.
| | - Megan Grainger
- Neuroscience Research Center, MedStar National Rehabilitation Hospital, 102 Irving St. NW, 1060, Washington, DC, 0010, USA
| | - Michelle L Harris-Love
- Neuroscience Research Center, MedStar National Rehabilitation Hospital, 102 Irving St. NW, 1060, Washington, DC, 0010, USA
| | - Peter S Lum
- Neuroscience Research Center, MedStar National Rehabilitation Hospital, 102 Irving St. NW, 1060, Washington, DC, 0010, USA
- Department of Bioengineering, The Catholic University of America, Washington, DC, USA
| | - Alexander W Dromerick
- Center for Brain Plasticity and Recovery, Department of Rehabilitation Medicine, Georgetown University Medical Center, Washington, DC, USA
- Neuroscience Research Center, MedStar National Rehabilitation Hospital, 102 Irving St. NW, 1060, Washington, DC, 0010, USA
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Stewart JC, Saba A, Baird JF, Kolar MB, O'Donnell M, Schaefer SY. Effect of Standing on a Standardized Measure of Upper Extremity Function. OTJR-OCCUPATION PARTICIPATION AND HEALTH 2020; 41:32-39. [PMID: 32623958 DOI: 10.1177/1539449220937058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Although many daily activities that require the upper extremity are performed in standing, arm motor function is generally measured in sitting. The purpose of this study was to examine the effect of standing on a measure of upper extremity function, the Jebsen Hand Function Test (JHFT). Twelve nondisabled adults (26.3 ± 3.1 years) completed the JHFT with the right and left arms under two conditions: sitting and standing. Total time to complete the JHFT increased when performed in standing compared with sitting in both arms (p = .005); mean increase was 4.4% and 5.6% for the right and left arms, respectively. Checker stacking was the only subtest that showed a significant increase in completion time in standing for both arms (p = .001); card turning showed an increase for the left arm only (p = .002). Measurement of upper extremity function in standing may provide insight into arm motor capacity within the context of standing postural control demands.
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Runnalls KD, Ortega-Auriol P, McMorland AJC, Anson G, Byblow WD. Effects of arm weight support on neuromuscular activation during reaching in chronic stroke patients. Exp Brain Res 2019; 237:3391-3408. [PMID: 31728596 DOI: 10.1007/s00221-019-05687-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 11/07/2019] [Indexed: 12/14/2022]
Abstract
To better understand how arm weight support (WS) can be used to alleviate upper limb impairment after stroke, we investigated the effects of WS on muscle activity, muscle synergy expression, and corticomotor excitability (CME) in 13 chronic stroke patients and 6 age-similar healthy controls. For patients, lesion location and corticospinal tract integrity were assessed using magnetic resonance imaging. Upper limb impairment was assessed using the Fugl-Meyer upper extremity assessment with patients categorised as either mild or moderate-severe. Three levels of WS were examined: low = 0, medium = 50 and high = 100% of full support. Surface EMG was recorded from 8 upper limb muscles, and muscle synergies were decomposed using non-negative matrix factorisation from data obtained during reaching movements to an array of 14 targets using the paretic or dominant arm. Interactions between impairment level and WS were found for the number of targets hit, and EMG measures. Overall, greater WS resulted in lower EMG levels, although the degree of modulation between WS levels was less for patients with moderate-severe compared to mild impairment. Healthy controls expressed more synergies than patients with moderate-severe impairment. Healthy controls and patients with mild impairment showed more synergies with high compared to low weight support. Transcranial magnetic stimulation was used to elicit motor-evoked potentials (MEPs) to which stimulus-response curves were fitted as a measure of corticomotor excitability (CME). The effect of WS on CME varied between muscles and across impairment level. These preliminary findings demonstrate that WS has direct and indirect effects on muscle activity, synergies, and CME and warrants further study in order to reduce upper limb impairment after stroke.
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Affiliation(s)
- Keith D Runnalls
- Movement Neuroscience Laboratory, Department of Exercise Sciences, University of Auckland, Auckland, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Pablo Ortega-Auriol
- Movement Neuroscience Laboratory, Department of Exercise Sciences, University of Auckland, Auckland, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Angus J C McMorland
- Movement Neuroscience Laboratory, Department of Exercise Sciences, University of Auckland, Auckland, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Greg Anson
- Movement Neuroscience Laboratory, Department of Exercise Sciences, University of Auckland, Auckland, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Winston D Byblow
- Movement Neuroscience Laboratory, Department of Exercise Sciences, University of Auckland, Auckland, New Zealand.
- Centre for Brain Research, University of Auckland, Auckland, New Zealand.
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