Literature DB >> 26230667

Training with robot-applied resistance in people with motor-incomplete spinal cord injury: Pilot study.

Tania Lam1, Katherine Pauhl, Amanda Ferguson, Raza N Malik, Andrei Krassioukov, Janice J Eng.   

Abstract

UNLABELLED: People with motor-incomplete spinal cord injury (m-iSCI) can recover basic walking function but still have difficulty performing the skilled walking required for everyday environments. We hypothesized that a robotic-based gait rehabilitation strategy founded on principles of motor learning would be a feasible and potentially effective approach for improving skilled walking in people with m-iSCI. Fifteen individuals with chronic (>1 yr) m-iSCI were randomly allocated to body weight-supported treadmill training (BWSTT) with Lokomat-applied resistance (Loko-R) or conventional Lokomat-assisted BWSTT (Control). Training sessions were 45 min, 3 times/week for 3 mo. Tolerance to training was assessed by ratings of perceived exertion and reports of pain/soreness. Overground skilled walking capacity (Spinal Cord Injury-Functional Ambulation Profile [SCI-FAP]), as well as walking speed and distance were measured at baseline, posttraining, and 1 and 6 mo follow-up. Our results indicate that Loko-R training could be feasibly applied for people with m-iSCI, although participants in Loko-R tended to report higher levels of perceived exertion during training. Participants in the Loko-R group performed significantly better in the SCI-FAP than Control at posttraining and in follow-up assessments. This study provides evidence that Loko-R training is feasible in people with m-iSCI. Furthermore, there is preliminary evidence suggesting that Loko-R may help improve performance in skilled overground walking tasks. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov; NCT00610974. "Enhancing Walking in People With Incomplete Spinal Cord Injury: a Pilot Study"; https://clinicaltrials.gov/ct2/show/NCT00610974.

Entities:  

Keywords:  Lokomat; body weight support; functional ambulation; gait training; motor learning; motor-incomplete SCI; resistance; robotics; skilled walking; spinal cord injury

Mesh:

Year:  2015        PMID: 26230667     DOI: 10.1682/JRRD.2014.03.0090

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  16 in total

1.  A Semi-passive Planar Manipulandum for Upper-Extremity Rehabilitation.

Authors:  Chih-Kang Chang; Edward P Washabaugh; Andrew Gwozdziowski; C David Remy; Chandramouli Krishnan
Journal:  Ann Biomed Eng       Date:  2018-04-06       Impact factor: 3.934

2.  A wearable resistive robot facilitates locomotor adaptations during gait.

Authors:  Edward P Washabaugh; Chandramouli Krishnan
Journal:  Restor Neurol Neurosci       Date:  2018       Impact factor: 2.406

3.  Robot-Applied Resistance Augments the Effects of Body Weight-Supported Treadmill Training on Stepping and Synaptic Plasticity in a Rodent Model of Spinal Cord Injury.

Authors:  Erika Hinahon; Christina Estrada; Lin Tong; Deborah S Won; Ray D de Leon
Journal:  Neurorehabil Neural Repair       Date:  2017-07-25       Impact factor: 3.919

Review 4.  Supraspinal Control Predicts Locomotor Function and Forecasts Responsiveness to Training after Spinal Cord Injury.

Authors:  Edelle C Field-Fote; Jaynie F Yang; D Michele Basso; Monica A Gorassini
Journal:  J Neurotrauma       Date:  2016-12-20       Impact factor: 5.269

5.  Functional resistance training during walking: Mode of application differentially affects gait biomechanics and muscle activation patterns.

Authors:  Edward P Washabaugh; Thomas E Augenstein; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2019-10-21       Impact factor: 2.840

6.  Feasibility of robotic exoskeleton ambulation in a C4 person with incomplete spinal cord injury: a case report.

Authors:  Robert M Lester; Ashraf S Gorgey
Journal:  Spinal Cord Ser Cases       Date:  2018-04-27

7.  Motor slacking during resisted treadmill walking: Can visual feedback of kinematics reduce this behavior?

Authors:  Edward P Washabaugh; Luis H Cubillos; Alexandra C Nelson; Belinda T Cargile; Edward S Claflin; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2021-09-20       Impact factor: 2.746

Review 8.  Robotic assisted gait as a tool for rehabilitation of individuals with spinal cord injury: a systematic review.

Authors:  Ledycnarf J Holanda; Patrícia M M Silva; Thiago C Amorim; Matheus O Lacerda; Camila R Simão; Edgard Morya
Journal:  J Neuroeng Rehabil       Date:  2017-12-04       Impact factor: 4.262

9.  Advanced Robotic Therapy Integrated Centers (ARTIC): an international collaboration facilitating the application of rehabilitation technologies.

Authors:  Hubertus J A van Hedel; Giacomo Severini; Alessandra Scarton; Anne O'Brien; Tamsin Reed; Deborah Gaebler-Spira; Tara Egan; Andreas Meyer-Heim; Judith Graser; Karen Chua; Daniel Zutter; Raoul Schweinfurther; J Carsten Möller; Liliana P Paredes; Alberto Esquenazi; Steffen Berweck; Sebastian Schroeder; Birgit Warken; Anne Chan; Amber Devers; Jakub Petioky; Nam-Jong Paik; Won-Seok Kim; Paolo Bonato; Michael Boninger
Journal:  J Neuroeng Rehabil       Date:  2018-04-06       Impact factor: 4.262

Review 10.  Robot-assisted gait training (Lokomat) improves walking function and activity in people with spinal cord injury: a systematic review.

Authors:  Ki Yeun Nam; Hyun Jung Kim; Bum Sun Kwon; Jin-Woo Park; Ho Jun Lee; Aeri Yoo
Journal:  J Neuroeng Rehabil       Date:  2017-03-23       Impact factor: 4.262

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