Literature DB >> 7086476

Activities of identified interneurons, motoneurons, and muscle fibers during fictive swimming in the lamprey and effects of reticulospinal and dorsal cell stimulation.

J T Buchanan, A H Cohen.   

Abstract

1. Application of D-glutamate to the isolated spinal cord of the lamprey produces phasic activity in ventral roots, which is similar to that of the muscles of the intact swimming animal (5,18). Therefore, the isolated spinal cord may be used as a convenient model for the investigation of the generation of locomotor rhythms in a vertebrate. 2. Almost all slow muscle fibers exhibited excitatory junctional potentials (EJPs) during swimming activity. The number of EJPs per cycle increased with the intensity of ventral root (VR) bursting. Few twitch fibers were active, and these fired action potentials only during high intensities of VR bursts. 3. As was found by Russell and Wallén (25), myotomal motoneurons had oscillating membrane potentials during fictive swimming which, on the average, reached a peak depolarization in the middle of the VR burst (phi = 0.21 +/- 0.05; phi = 0 is defined as the onset of the VR burst, and the duration of the cycle is set equal to 1). Membrane potential oscillations in fin motoneurons were antiphasic to those of nearby myotomal motoneurons (peak depolarization phi = 0.68 +/- 0.05). 4. Lateral interneurons had oscillating membrane potentials in synchrony with those of myotomal motoneurons (peak depolarization phi = 0.21 +/- 0.10). Interneurons with axons projecting contralaterally and caudally (CC interneurons) had oscillating membrane potentials that peaked significantly earlier in the cycle (peak depolarization phi = 0.06 +/- 0.12). 5. Edge cells were only weakly modulated during fictive swimming. Their peak depolarizations occurred near the end of the VR burst (phi = 0.33 +/- 0.10). Most giant interneurons were not phasically modulated during fictive swimming. 6. Repetitive intracellular stimulation of Müller cells during fictive swimming generally evoked an increased burst intensity in ipsilateral VRs and a decreased burst intensity in contralateral VRs. The cells M3, B1, and B2 also produced increases or decreases in the frequency of VR bursts. Repetitive intracellular stimulation of sensory dorsal cells could also change the intensities and timing of VR bursts. 7. This study is an initial survey of lamprey spinal interneurons that participate in swimming activity. Lateral interneurons and CC interneurons are active during fictive swimming and probably help coordinate the undulations of the body, but their roles in pattern generation are not known. The central pattern generator is subject to modification by descending and sensory inputs.

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Year:  1982        PMID: 7086476     DOI: 10.1152/jn.1982.47.5.948

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  35 in total

1.  Activity and calcium-dependent mechanisms maintain reliable interneuron synaptic transmission in a rhythmic neural network.

Authors:  D Parker
Journal:  J Neurosci       Date:  2000-03-01       Impact factor: 6.167

2.  A cellular mechanism for the transformation of a sensory input into a motor command.

Authors:  G V Di Prisco; E Pearlstein; D Le Ray; R Robitaille; R Dubuc
Journal:  J Neurosci       Date:  2000-11-01       Impact factor: 6.167

3.  Heterogeneity of the population of command neurons in the lamprey.

Authors:  P V Zelenin; S Grillner; G N Orlovsky; T G Deliagina
Journal:  J Neurosci       Date:  2001-10-01       Impact factor: 6.167

4.  Variable properties in a single class of excitatory spinal synapse.

Authors:  David Parker
Journal:  J Neurosci       Date:  2003-04-15       Impact factor: 6.167

5.  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

6.  Mechanisms of rhythm generation in a spinal locomotor network deprived of crossed connections: the lamprey hemicord.

Authors:  Lorenzo Cangiano; Sten Grillner
Journal:  J Neurosci       Date:  2005-01-26       Impact factor: 6.167

7.  Neural network simulations of coupled locomotor oscillators in the lamprey spinal cord.

Authors:  J T Buchanan
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

8.  A computational model for motor pattern switching between taste-induced ingestion and rejection oromotor behaviors.

Authors:  Sharmila Venugopal; Joseph B Travers; David H Terman
Journal:  J Comput Neurosci       Date:  2007-04       Impact factor: 1.621

Review 9.  The role of mechanical resonance in the neural control of swimming in fishes.

Authors:  Eric D Tytell; Chia-Yu Hsu; Lisa J Fauci
Journal:  Zoology (Jena)       Date:  2013-12-21       Impact factor: 2.240

10.  Necessary, sufficient and permissive: a single locomotor command neuron important for intersegmental coordination.

Authors:  Joshua G Puhl; Mark A Masino; Karen A Mesce
Journal:  J Neurosci       Date:  2012-12-05       Impact factor: 6.167

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