Literature DB >> 14573540

Firing properties of spinal interneurons during voluntary movement. I. State-dependent regularity of firing.

Yifat Prut1, Steve I Perlmutter.   

Abstract

The firing properties of single spinal interneurons (INs) were studied in five awake, behaving monkeys performing isometric or auxotonic flexion-extension torques at the wrist. INs tended to fire tonically at rest (mean rate, 14 spikes (sp)/sec) and during generation of static torque (mean rate, 19 sp/sec in flexion, 24 sp/sec in extension). INs exhibited regular firing, with autocorrelation functions showing clear periodic features and a mean coefficient of variation of interspike intervals (CV) of 0.55 during production of static torque. For the population, there was an inverse correlation between CV and mean rate. However, 46% of the INs had task-dependent changes in regularity that were not predicted by changes in firing rate, suggesting that their firing pattern is determined not only by the intrinsic properties of the neurons but also by the properties of its synaptic inputs. INs showed two main response types to passive wrist displacement: biphasic and coactivation. Cells with these sensory responses had different, stereotypical temporal activity profiles and firing regularity during active movement. However, INs having correlational linkages with forearm muscles, identified as features in spike-triggered averages of electromyographic activity, did not exhibit unique responses or firing properties, although they tended to fire more regularly than other INs. This suggests the lack of a precise mapping of inputs to outputs for the spinal premotor network.

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Year:  2003        PMID: 14573540      PMCID: PMC6740472     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  49 in total

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3.  Population reconstruction of the locomotor cycle from interneuron activity in the mammalian spinal cord.

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Review 5.  Synaptic integration in bistable motoneurons.

Authors:  C J Heckman; R H Lee
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8.  Impact of correlated synaptic input on output firing rate and variability in simple neuronal models.

Authors:  E Salinas; T J Sejnowski
Journal:  J Neurosci       Date:  2000-08-15       Impact factor: 6.167

9.  Influence of temporal correlation of synaptic input on the rate and variability of firing in neurons.

Authors:  G Svirskis; J Rinzel
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Authors:  J C Rekling; G D Funk; D A Bayliss; X W Dong; J L Feldman
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  19 in total

1.  Firing properties of spinal interneurons during voluntary movement. II. Interactions between spinal neurons.

Authors:  Yifat Prut; Steve I Perlmutter
Journal:  J Neurosci       Date:  2003-10-22       Impact factor: 6.167

2.  Effects of cathodal trans-spinal direct current stimulation on mouse spinal network and complex multijoint movements.

Authors:  Zaghloul Ahmed
Journal:  J Neurosci       Date:  2013-09-11       Impact factor: 6.167

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4.  Connected corticospinal sites show enhanced tuning similarity at the onset of voluntary action.

Authors:  Yuval Yanai; Nofya Adamit; Ran Harel; Zvi Israel; Yifat Prut
Journal:  J Neurosci       Date:  2007-11-07       Impact factor: 6.167

5.  Summation of excitatory and inhibitory synaptic inputs by motoneurons with highly active dendrites.

Authors:  Allison S Hyngstrom; Michael D Johnson; C J Heckman
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6.  Coupling multielectrode array recordings with silver labeling of recording sites to study cervical spinal network connectivity.

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Journal:  J Neurophysiol       Date:  2016-12-14       Impact factor: 2.714

Review 7.  The potential for understanding the synaptic organization of human motor commands via the firing patterns of motoneurons.

Authors:  Michael D Johnson; Christopher K Thompson; Vicki M Tysseling; Randall K Powers; Charles J Heckman
Journal:  J Neurophysiol       Date:  2017-03-29       Impact factor: 2.714

8.  Subcortical control of precision grip after human spinal cord injury.

Authors:  Karen L Bunday; Toshiki Tazoe; John C Rothwell; Monica A Perez
Journal:  J Neurosci       Date:  2014-05-21       Impact factor: 6.167

9.  Dynamic neural network models of the premotoneuronal circuitry controlling wrist movements in primates.

Authors:  M A Maier; L E Shupe; E E Fetz
Journal:  J Comput Neurosci       Date:  2005-10       Impact factor: 1.621

10.  Push-pull control of motor output.

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Journal:  J Neurosci       Date:  2012-03-28       Impact factor: 6.167

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