Literature DB >> 16709903

Deciphering the organization and modulation of spinal locomotor central pattern generators.

Ian T Gordon1, Patrick J Whelan.   

Abstract

Networks within our spinal cord generate the basic pattern underlying walking. Over the past decade, much progress has been made in our understanding of their function in a variety of vertebrate species. A significant hurdle has been the identification of candidate populations of neurons that are involved in pattern generation in the spinal cord. Recently, systems neuroscientists in collaboration with molecular biologists have begun to dissect the circuitry underlying spinal locomotor networks. These advances have combined genetic and electrophysiological techniques using in vitro preparations of the mouse spinal cord. This review will discuss new advances in the field of spinal locomotor networks with emphasis on the mouse. Many of the behaviors fundamental to animal life, such as breathing, chewing and locomotion, are rhythmic activities controlled by neuronal networks. Discerning which neurons are members of these networks, their synaptic connectivity and their individual electrophysiological properties is essential to our understanding of how rhythmic motor behaviors are produced. It is well known that the spinal cord contains the basic circuitry to produce locomotion. However, identifying neurons and connections within spinal networks is challenging because cells that comprise the locomotor network form part of a heterogeneous mix of interneurons within the ventral spinal cord. Recently, the merging of electrophysiological and genetic approaches has provided new tools to identify classes of interneurons within the spinal cord that contribute to network function. These new findings will be discussed in this review.

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Year:  2006        PMID: 16709903     DOI: 10.1242/jeb.02213

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  17 in total

Review 1.  Neuronal network analyses: premises, promises and uncertainties.

Authors:  David Parker
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-12       Impact factor: 6.237

2.  Shining light into the black box of spinal locomotor networks.

Authors:  Patrick J Whelan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-12       Impact factor: 6.237

3.  A newly identified extrinsic input triggers a distinct gastric mill rhythm via activation of modulatory projection neurons.

Authors:  Dawn M Blitz; Rachel S White; Shari R Saideman; Aaron Cook; Andrew E Christie; Farzan Nadim; Michael P Nusbaum
Journal:  J Exp Biol       Date:  2008-03       Impact factor: 3.312

4.  Firing and cellular properties of V2a interneurons in the rodent spinal cord.

Authors:  Kimberly J Dougherty; Ole Kiehn
Journal:  J Neurosci       Date:  2010-01-06       Impact factor: 6.167

5.  Brainstem modulation of locomotion in the neonatal mouse spinal cord.

Authors:  Ian T Gordon; Patrick J Whelan
Journal:  J Physiol       Date:  2008-03-27       Impact factor: 5.182

6.  Coding characteristics of spiking local interneurons during imposed limb movements in the locust.

Authors:  A G Vidal-Gadea; X J Jing; D Simpson; O P Dewhirst; Y Kondoh; R Allen; P L Newland
Journal:  J Neurophysiol       Date:  2009-12-02       Impact factor: 2.714

Review 7.  Loss of motor function in preclinical Alzheimer's disease.

Authors:  Aron S Buchman; David A Bennett
Journal:  Expert Rev Neurother       Date:  2011-05       Impact factor: 4.618

Review 8.  Diversity of molecularly defined spinal interneurons engaged in mammalian locomotor pattern generation.

Authors:  Lea Ziskind-Conhaim; Shawn Hochman
Journal:  J Neurophysiol       Date:  2017-08-30       Impact factor: 2.714

9.  Locomotor rhythmogenesis in the isolated rat spinal cord: a phase-coupled set of symmetrical flexion extension oscillators.

Authors:  Laurent Juvin; John Simmers; Didier Morin
Journal:  J Physiol       Date:  2007-06-14       Impact factor: 5.182

Review 10.  Decoding the organization of spinal circuits that control locomotion.

Authors:  Ole Kiehn
Journal:  Nat Rev Neurosci       Date:  2016-03-03       Impact factor: 34.870

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