Literature DB >> 17928316

Reaching training in rats with spinal cord injury promotes plasticity and task specific recovery.

J Girgis1, D Merrett, S Kirkland, G A S Metz, V Verge, K Fouad.   

Abstract

In the current study we examined the effects of training in adult rats with a cervical spinal cord injury (SCI). One group of rats received 6 weeks of training in a single pellet reaching task immediately after injury, while a second group did not receive training. Following this period changes in cortical levels of BDNF and GAP-43 were analysed in trained and untrained animals and in a group with training but no injury. In another group of rats, functional recovery was analysed in the reaching task and when walking on a horizontal ladder. Thereupon, the cortical forelimb area was electrophysiologically examined using micro-stimulation followed by tracing of the lesioned corticospinal tract (CST). We found that trained rats improved substantially in the reaching task, when compared to their untrained counterparts. Trained rats however, performed significantly worse with their injured forelimb when walking on a horizontal ladder. In parallel to the improved recovery in the trained task, we found that the cortical area where wrist movements could be evoked by micro-stimulation expanded in trained rats in comparison to both untrained and uninjured rats. Furthermore, collateral sprouting of lesioned CST fibres rostral to the injury was increased in trained rats. Post-injury training was also found to increase cortical levels of GAP-43 but not BDNF. In conclusion we show that training of a reaching task promotes recovery of the trained task following partial SCI by enhancing plasticity at various levels of the central nervous system (CNS), but may come at the cost of an untrained task.

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Year:  2007        PMID: 17928316     DOI: 10.1093/brain/awm245

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  92 in total

Review 1.  A systematic review of exercise training to promote locomotor recovery in animal models of spinal cord injury.

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2.  Robotic Rehabilitator of the Rodent Upper Extremity: A System and Method for Assessing and Training Forelimb Force Production after Neurological Injury.

Authors:  Kelli G Sharp; Jaime E Duarte; Berkenesh Gebrekristos; Sergi Perez; Oswald Steward; David J Reinkensmeyer
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3.  Variability in step training enhances locomotor recovery after a spinal cord injury.

Authors:  Prithvi K Shah; Yury Gerasimenko; Andrew Shyu; Igor Lavrov; Hui Zhong; Roland R Roy; Victor R Edgerton
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4.  Plasticity of subcortical pathways promote recovery of skilled hand function in rats after corticospinal and rubrospinal tract injuries.

Authors:  Guillermo García-Alías; Kevin Truong; Prithvi K Shah; Roland R Roy; V Reggie Edgerton
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5.  Chondroitinase ABC promotes recovery of adaptive limb movements and enhances axonal growth caudal to a spinal hemisection.

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6.  STAT3 promotes corticospinal remodelling and functional recovery after spinal cord injury.

Authors:  Claudia Lang; Peter M Bradley; Anne Jacobi; Martin Kerschensteiner; Florence M Bareyre
Journal:  EMBO Rep       Date:  2013-08-09       Impact factor: 8.807

7.  Feasible stabilization of chondroitinase abc enables reduced astrogliosis in a chronic model of spinal cord injury.

Authors:  Andrea Raspa; Edoardo Bolla; Claudia Cuscona; Fabrizio Gelain
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8.  An automated behavioral box to assess forelimb function in rats.

Authors:  Chelsea C Wong; Dhakshin S Ramanathan; Tanuj Gulati; Seok Joon Won; Karunesh Ganguly
Journal:  J Neurosci Methods       Date:  2015-03-10       Impact factor: 2.390

Review 9.  Exercise and Peripheral Nerve Grafts as a Strategy To Promote Regeneration after Acute or Chronic Spinal Cord Injury.

Authors:  Catherine C Theisen; Rahul Sachdeva; Scarlett Austin; Danielle Kulich; Victoria Kranz; John D Houle
Journal:  J Neurotrauma       Date:  2017-04-26       Impact factor: 5.269

10.  Single pellet grasping following cervical spinal cord injury in adult rat using an automated full-time training robot.

Authors:  Keith K Fenrich; Zacincte May; Abel Torres-Espín; Juan Forero; David J Bennett; Karim Fouad
Journal:  Behav Brain Res       Date:  2015-12-02       Impact factor: 3.332

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