Literature DB >> 14586033

Quantification of the factors that influence discharge correlation in model motor neurons.

Anna M Taylor1, Roger M Enoka.   

Abstract

The purpose of this study was to quantify the influence of intrinsic properties, active dendritic conductances, and background excitation and inhibition on measures of discharge correlation in the time and frequency domains with known levels and patterns of common synaptic input. The study involved a computer simulation of a population of neurons with a range of input resistances (0.54-3.7 MOmega) and surface areas (407,000-712,000 microm(2)). The neurons were simulated with no, moderate, or high levels of active dendritic conductances and were activated with either excitatory input only or excitatory and inhibitory inputs. The patterns of common input, either branched common input or common modulation, were tested with 0, 30, 60, and 90% common input. The results confirm previous findings of an exponential relation between the level of common input and indexes of synchronization; only when the common input comprised >/=60% of the total excitatory input was there a significant effect on discharge correlation. Synchronization was greatest in models that had passive dendrites. Active dendritic conductances caused the discharge rate of the neuron to saturate and decreased motor-unit synchronization. However, the addition of 10% background inhibitory input increased synchronization in these models. In contrast, common rhythmic modulation of inputs at 24 Hz usually decreased synchronization. Significant coherence at the modulated frequency occurred in the commonly modulated neurons when >/=60% of the inputs were modulated. Furthermore, active dendritic conductances decreased coherence. Branched common input caused high levels of coherence across a broad spectrum and when combined with active dendritic conductances caused significant frequency peaks in the 30- to 50-Hz band. In conclusion, the level of inhibitory input and active dendritic conductances interact with the amount of common input to determine time- and frequency-domain discharge correlation.

Mesh:

Year:  2003        PMID: 14586033     DOI: 10.1152/jn.00802.2003

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


  21 in total

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2.  Periodic modulation of motor-unit activity in extrinsic hand muscles during multidigit grasping.

Authors:  Jamie A Johnston; Sara A Winges; Marco Santello
Journal:  J Neurophysiol       Date:  2005-03-02       Impact factor: 2.714

3.  A simulation study to examine the effect of common motoneuron inputs on correlated patterns of motor unit discharge.

Authors:  Madeleine M Lowery; Zeynep Erim
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5.  Muscle-pair specific distribution and grip-type modulation of neural common input to extrinsic digit flexors.

Authors:  Sara A Winges; Jamie A Johnston; Marco Santello
Journal:  J Neurophysiol       Date:  2006-05-24       Impact factor: 2.714

6.  Changes in corticospinal drive to spinal motoneurones following visuo-motor skill learning in humans.

Authors:  Monica A Perez; Jesper Lundbye-Jensen; Jens B Nielsen
Journal:  J Physiol       Date:  2006-03-31       Impact factor: 5.182

7.  Multiple modes of amplification of synaptic inhibition to motoneurons by persistent inward currents.

Authors:  Tuan V Bui; Giovanbattista Grande; P Ken Rose
Journal:  J Neurophysiol       Date:  2007-11-28       Impact factor: 2.714

8.  Diminished task-related adjustments of common inputs to hand muscle motor neurons in older adults.

Authors:  John G Semmler; Kurt W Kornatz; François G Meyer; Roger M Enoka
Journal:  Exp Brain Res       Date:  2006-02-18       Impact factor: 1.972

9.  Common input to different regions of biceps brachii long head.

Authors:  Benjamin K Barry; Michael A Pascoe; Stephan Riek; Richard G Carson; Roger M Enoka
Journal:  Exp Brain Res       Date:  2008-11-12       Impact factor: 1.972

10.  Models of passive and active dendrite motoneuron pools and their differences in muscle force control.

Authors:  Leonardo Abdala Elias; Vitor Martins Chaud; André Fabio Kohn
Journal:  J Comput Neurosci       Date:  2012-05-06       Impact factor: 1.621

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