Literature DB >> 23949034

Improved motor performance in chronic spinal cord injury following upper-limb robotic training.

Mar Cortes1, Jessica Elder, Avrielle Rykman, Lynda Murray, Manuel Avedissian, Argyrios Stampas, Gary W Thickbroom, Alvaro Pascual-Leone, Hermano Igo Krebs, Josep Valls-Sole, Dylan J Edwards.   

Abstract

BACKGROUND: Recovering upper-limb motor function has important implications for improving independence of patients with tetraplegia after traumatic spinal cord injury (SCI).
OBJECTIVE: To evaluate the feasibility, safety and effectiveness of robotic-assisted training of upper limb in a chronic SCI population.
METHODS: A total of 10 chronic tetraplegic SCI patients (C4 to C6 level of injury, American Spinal Injury Association Impairment Scale, A to D) participated in a 6-week wrist-robot training protocol (1 hour/day 3 times/week). The following outcome measures were recorded at baseline and after the robotic training: a) motor performance, assessed by robot-measured kinematics, b) corticospinal excitability measured by transcranial magnetic stimulation (TMS), and c) changes in clinical scales: motor strength (Upper extremity motor score), pain level (Visual Analog Scale) and spasticity (Modified Ashworth scale).
RESULTS: No adverse effects were observed during or after the robotic training. Statistically significant improvements were found in motor performance kinematics: aim (pre 1.17 ± 0.11 raduans, post 1.03 ± 0.08 raduans, p = 0.03) and smoothness of movement (pre 0.26 ± 0.03, post 0.31 ± 0.02, p = 0.03). These changes were not accompanied by changes in upper-extremity muscle strength or corticospinal excitability. No changes in pain or spasticity were found.
CONCLUSIONS: Robotic-assisted training of the upper limb over six weeks is a feasible and safe intervention that can enhance movement kinematics without negatively affecting pain or spasticity in chronic SCI. In addition, robot-assisted devices are an excellent tool to quantify motor performance (kinematics) and can be used to sensitively measure changes after a given rehabilitative intervention.

Entities:  

Mesh:

Year:  2013        PMID: 23949034      PMCID: PMC4519228          DOI: 10.3233/NRE-130928

Source DB:  PubMed          Journal:  NeuroRehabilitation        ISSN: 1053-8135            Impact factor:   2.138


  18 in total

1.  Robotic training and kinematic analysis of arm and hand after incomplete spinal cord injury: a case study.

Authors:  Z Kadivar; J L Sullivan; D P Eng; A U Pehlivan; M K O'Malley; N Yozbatiran; G E Francisco
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

Review 2.  Physical determinants, emerging concepts, and training approaches in gait of individuals with spinal cord injury.

Authors:  Hugues Barbeau; Sylvie Nadeau; Christiane Garneau
Journal:  J Neurotrauma       Date:  2006 Mar-Apr       Impact factor: 5.269

3.  Feasibility and efficacy of upper limb robotic rehabilitation in a subacute cervical spinal cord injury population.

Authors:  J Zariffa; N Kapadia; J L K Kramer; P Taylor; M Alizadeh-Meghrazi; V Zivanovic; R Willms; A Townson; A Curt; M R Popovic; J D Steeves
Journal:  Spinal Cord       Date:  2011-09-13       Impact factor: 2.772

4.  International standards for neurological classification of spinal cord injury, revised 2011.

Authors:  Stephen Burns; Fin Biering-Sørensen; William Donovan; Daniel E Graves; Amitabh Jha; Mark Johansen; Linda Jones; Andrei Krassioukov; Steven Kirshblum; M J Mulcahey; Mary Schmidt Read; William Waring
Journal:  Top Spinal Cord Inj Rehabil       Date:  2012

Review 5.  Robotic devices as therapeutic and diagnostic tools for stroke recovery.

Authors:  Bruce T Volpe; Patricio T Huerta; Johanna L Zipse; Avrielle Rykman; Dylan Edwards; Laura Dipietro; Neville Hogan; Hermano I Krebs
Journal:  Arch Neurol       Date:  2009-09

Review 6.  Robot-aided sensorimotor training in stroke rehabilitation.

Authors:  Bruce T Volpe; Hermano Igo Krebs; Neville Hogan
Journal:  Adv Neurol       Date:  2003

7.  Robotic training and clinical assessment of upper extremity movements after spinal cord injury: a single case report.

Authors:  Nuray Yozbatiran; Jeffrey Berliner; Marcia K O'Malley; Ali Utku Pehlivan; Zahra Kadivar; Corwin Boake; Gerard E Francisco
Journal:  J Rehabil Med       Date:  2012-02       Impact factor: 2.912

Review 8.  Robotic training and spinal cord plasticity.

Authors:  V Reggie Edgerton; Roland R Roy
Journal:  Brain Res Bull       Date:  2008-11-14       Impact factor: 4.077

Review 9.  Outcome of motor training programmes on arm and hand functioning in patients with cervical spinal cord injury according to different levels of the ICF: a systematic review.

Authors:  Annemie I F Spooren; Yvonne J M Janssen-Potten; Eric Kerckhofs; Henk A M Seelen
Journal:  J Rehabil Med       Date:  2009-06       Impact factor: 2.912

Review 10.  Physical rehabilitation as an agent for recovery after spinal cord injury.

Authors:  Andrea L Behrman; Susan J Harkema
Journal:  Phys Med Rehabil Clin N Am       Date:  2007-05       Impact factor: 1.784

View more
  14 in total

1.  White matter changes in corticospinal tract associated with improvement in arm and hand functions in incomplete cervical spinal cord injury: pilot case series.

Authors:  Nuray Yozbatiran; Zafer Keser; Khader Hasan; Argyrios Stampas; Radha Korupolu; Sam Kim; Marcia K O'Malley; Felipe Fregni; Gerard E Francisco
Journal:  Spinal Cord Ser Cases       Date:  2017-06-15

Review 2.  Robotic Rehabilitation and Spinal Cord Injury: a Narrative Review.

Authors:  Marwa Mekki; Andrew D Delgado; Adam Fry; David Putrino; Vincent Huang
Journal:  Neurotherapeutics       Date:  2018-07       Impact factor: 7.620

3.  Intensity dependent effects of transcranial direct current stimulation on corticospinal excitability in chronic spinal cord injury.

Authors:  Lynda M Murray; Dylan J Edwards; Giulio Ruffini; Douglas Labar; Argyrios Stampas; Alvaro Pascual-Leone; Mar Cortes
Journal:  Arch Phys Med Rehabil       Date:  2014-11-22       Impact factor: 3.966

Review 4.  Spinal Cord Injury and Loss of Cortical Inhibition.

Authors:  Bruno Benedetti; Annika Weidenhammer; Maximilian Reisinger; Sebastien Couillard-Despres
Journal:  Int J Mol Sci       Date:  2022-05-17       Impact factor: 6.208

5.  Virtual Reality Training Using Nintendo Wii Games for Patients With Stroke: Randomized Controlled Trial.

Authors:  Naveed Anwar; Hossein Karimi; Ashfaq Ahmad; Syed Amir Gilani; Kehkshan Khalid; Ahmed Sohaib Aslam; Asif Hanif
Journal:  JMIR Serious Games       Date:  2022-06-13       Impact factor: 3.364

6.  Time-Dependent Discrepancies between Assessments of Sensory Function after Incomplete Cervical Spinal Cord Injury.

Authors:  Richard A Macklin; Jihye Bae; Melanie Orell; Kim D Anderson; Peter H Ellaway; Monica A Perez
Journal:  J Neurotrauma       Date:  2016-07-08       Impact factor: 5.269

7.  Clinical Characteristics of Proper Robot-Assisted Gait Training Group in Non-ambulatory Subacute Stroke Patients.

Authors:  Soo Jeong Kim; Hye Jin Lee; Seung Won Hwang; Hannah Pyo; Sung Phil Yang; Mun-Hee Lim; Gyu Lee Park; Eun Joo Kim
Journal:  Ann Rehabil Med       Date:  2016-04-25

8.  Discrepancies between clinical assessments of sensory function and electrical perceptual thresholds after incomplete chronic cervical spinal cord injury.

Authors:  R A Macklin; V J Brooke; F J Calabro; P H Ellaway; M A Perez
Journal:  Spinal Cord       Date:  2015-06-30       Impact factor: 2.772

9.  Exercising daily living activities in robot-mediated therapy.

Authors:  Orsolya Peter; Ibolya Tavaszi; Andras Toth; Gabor Fazekas
Journal:  J Phys Ther Sci       Date:  2017-05-16

Review 10.  Motor imagery reinforces brain compensation of reach-to-grasp movement after cervical spinal cord injury.

Authors:  Sébastien Mateo; Franck Di Rienzo; Vance Bergeron; Aymeric Guillot; Christian Collet; Gilles Rode
Journal:  Front Behav Neurosci       Date:  2015-09-11       Impact factor: 3.558

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.