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      Variation of body weight supported treadmill training parameters during a single session can modulate muscle activity patterns in post-stroke gait

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          Abstract

          Evidence supporting the benefits of locomotor training (LT) to improve walking ability following stroke are inconclusive and could likely be improved with a better understanding of the effects of individual parameters i.e., body weight support (BWS), speed, and therapist assistance and their interactions with walking ability and specific impairments. We evaluated changes in muscle activity of thirty-seven individuals with chronic stroke (> 6 months), in response to a single session of LT at their self-selected or fastest-comfortable speed (FS) with three levels of BWS (0%, 15%, and 30%), and at FS with 30% BWS and seven different combinations of therapist assistance at the paretic foot, non-paretic foot, and trunk. Altered Muscle Activation Pattern (AMAP), a previously developed tool in our lab was used to evaluate the effects of LT parameter variation on eight lower-extremity muscle patterns in individuals with stroke. Repeated-measures mixed-model ANOVA was used to determine the effects of speed, BWS, and their interaction on AMAP scores. The Wilcoxon-signed rank test was used to determine the effects of therapist-assisted conditions on AMAP scores. Increased BWS mostly improved lower-extremity muscle activity patterns, but increased speed resulted in worse plantar flexor activity. Abnormal early plantar flexor activity during stance decreased with assistance at trunk and both feet, exaggerated plantar flexor activity during late swing decreased with assistance to the non-paretic foot or trunk, and diminished gluteus medius activity during stance increased with assistance to paretic foot and/or trunk. Therefore, different sets of training parameters have different immediate effects on activation patterns of each muscle and gait subphases.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00221-023-06551-7.

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          Most cited references31

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          Recovery of walking function in stroke patients: The copenhagen stroke study

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            Community ambulation after stroke: how important and obtainable is it and what measures appear predictive?

            To assess how important community ambulation is to stroke survivors and to assess the relation between the level of community ambulation achieved and other aspects of mobility. A multicenter observational survey. Community setting in New Zealand. One hundred fifteen stroke survivors living at home were referred from physical therapy (PT) services at 3 regional hospitals at the time of discharge and were assessed within 1 week after returning home. Another 15 people with stroke who did not require further PT when discharged were assessed within 2 weeks after they returned home to provide insight into community ambulation status for those without mobility impairment, as recognized by health professionals. Not applicable. Self-reported levels of community ambulation ascertained by questionnaire, gait velocity (m/min), Functional Ambulation Categories (FAC) score, and Rivermead Mobility Index (RMI) score. Mean gait velocity for the participants was 53.9 m/min (95% confidence interval [CI], 52.3-61.1); mean treadmill distance was 165.5 m (95% CI, 141.6-189.5); median RMI score was 14; and median FAC score was 6. Mobility scores for the 15 people who did not require PT were within the normal range. Based on self-reported levels of ambulation, 19 (14.6%) participants were unable to leave the home unsupervised, 22 (16.9%) were walking as far as the letterbox, 10 (7.6%) were limited to walking within their immediate environment, and 79 (60.7%) could access shopping malls and/or places of interest. Participants with different levels of community ambulation showed a significant difference in gait velocity (P<.001). The ability to "get out and about" in the community was considered to be either essential or very important by 97 subjects (74.6%). Community ambulation is a meaningful outcome after stroke. However, despite good mobility outcomes on standardized measures for this cohort of home-dwelling stroke survivors, nearly one third were not getting out unsupervised in the community. Furthermore, gait velocity may be a measure that discriminates between different categories of community ambulation. These findings may have implications for PT practice for people with mobility problems after stroke.
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              Hemiparetic gait following stroke. Part I: Characteristics

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                Author and article information

                Contributors
                srivasts@musc.edu
                seamon@musc.edu
                cpatten@ucdavis.edu
                kautz@musc.edu
                Journal
                Exp Brain Res
                Exp Brain Res
                Experimental Brain Research
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0014-4819
                1432-1106
                13 January 2023
                13 January 2023
                2023
                : 241
                : 2
                : 615-627
                Affiliations
                [1 ]GRID grid.259828.c, ISNI 0000 0001 2189 3475, Department of Health Sciences and Research, , College of Health Professions, Medical University of South Carolina, ; 77 President Street, Charleston, SC 29425 USA
                [2 ]Ralph H. Johnson VA Health Care System Medical Center, Charleston, SC 29401 USA
                [3 ]GRID grid.27860.3b, ISNI 0000 0004 1936 9684, Biomechanics, Rehabilitation, and Integrative Neuroscience (BRaIN) Lab, Department of Physical Medicine and Rehabilitation, , University of California Davis School of Medicine, ; Sacramento, CA 95817 USA
                [4 ]GRID grid.413933.f, ISNI 0000 0004 0419 2847, VA Northern California Health Care System, ; Martinez, CA 94553 USA
                [5 ]GRID grid.259828.c, ISNI 0000 0001 2189 3475, Division of Physical Therapy, Department of Rehabilitation Sciences, , Medical University of South Carolina, ; Charleston, SC 29425 USA
                Author notes

                Communicated by Winston D Byblow.

                Author information
                http://orcid.org/0000-0002-5651-919X
                Article
                6551
                10.1007/s00221-023-06551-7
                9895011
                36639543
                b0ffd851-b003-4369-ae48-48debcbcb3c4
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 July 2022
                : 5 January 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000738, U.S. Department of Veterans Affairs;
                Award ID: A6365-R
                Award ID: 1IK6RX003075
                Award ID: 1IK6RX003543-01
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000009, Foundation for the National Institutes of Health;
                Award ID: P20-GM109040
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2023

                Neurosciences
                stroke,locomotor training,electromyography,body weight support treadmill training,muscle activation patterns,individualized training

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