Literature DB >> 25419188

A modeling exploration of how synaptic feedback to descending projection neurons shapes the activity of an oscillatory network.

Nickolas Kintos1, Farzan Nadim2.   

Abstract

Rhythmic activity which underlies motor output is often initiated and controlled by descending modulatory projection pathways onto central pattern generator (CPG) networks. In turn, these descending pathways receive synaptic feedback from their target CPG network, which can influence the CPG output. However, the mechanisms underlying such bi-directional synaptic interactions are mostly unexplored. We develop a reduced mathematical model, including both feed-forward and feedback circuitry, to examine how the synaptic interactions involving two projection neurons, MCN1 and CPN2, can produce and shape the activity of the gastric mill CPG in the crab stomatogastric nervous system. We use simplifying assumptions that are based on the behavior of the biological system to reduce this model down to 2 dimensions, which allows for phase plane analysis of the model output. The model shows a distinct activity for the gastric mill rhythm that is elicited when MCN1 and CPN2 are co-active compared to the rhythm elicited by MCN1 activity alone. Furthermore, the presence of feedback to the projection neuron CPN2 provides a distinct locus of pattern generation in the model which does not require reciprocally inhibitory interactions between the gastric mill CPG neurons, but is instead based on a half-center oscillator that occurs through a tri-synaptic pathway that includes CPN2. Our modeling results show that feedback to projection pathways may provide additional mechanisms for the generation of motor activity. These mechanisms can have distinct dependence on network parameters and may therefore provide additional flexibility for the rhythmic motor output.

Entities:  

Keywords:  forced oscillation; limit cycle; neural oscillation; neuromodulation; phase plane; stomatogastric

Year:  2014        PMID: 25419188      PMCID: PMC4237231          DOI: 10.1137/130943881

Source DB:  PubMed          Journal:  SIAM J Appl Dyn Syst        ISSN: 1536-0040            Impact factor:   2.316


  39 in total

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Review 2.  A small-systems approach to motor pattern generation.

Authors:  Michael P Nusbaum; Mark P Beenhakker
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3.  A database of computational models of a half-center oscillator for analyzing how neuronal parameters influence network activity.

Authors:  Anca Doloc-Mihu; Ronald L Calabrese
Journal:  J Biol Phys       Date:  2011-02-12       Impact factor: 1.365

4.  The effects of varying the timing of inputs on a neural oscillator.

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Journal:  SIAM J Appl Dyn Syst       Date:  2006       Impact factor: 2.316

5.  The same core rhythm generator underlies different rhythmic motor patterns.

Authors:  Rachel S White; Michael P Nusbaum
Journal:  J Neurosci       Date:  2011-08-10       Impact factor: 6.167

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Authors:  James T Buchanan; James F Einum
Journal:  Brain Res Rev       Date:  2007-08-06

7.  Frequency regulation of a slow rhythm by a fast periodic input.

Authors:  F Nadim; Y Manor; M P Nusbaum; E Marder
Journal:  J Neurosci       Date:  1998-07-01       Impact factor: 6.167

8.  Single neuron control over a complex motor program.

Authors:  W N Frost; P S Katz
Journal:  Proc Natl Acad Sci U S A       Date:  1996-01-09       Impact factor: 11.205

9.  Network oscillations generated by balancing graded asymmetric reciprocal inhibition in passive neurons.

Authors:  Y Manor; F Nadim; S Epstein; J Ritt; E Marder; N Kopell
Journal:  J Neurosci       Date:  1999-04-01       Impact factor: 6.167

10.  Different sensory systems share projection neurons but elicit distinct motor patterns.

Authors:  Dawn M Blitz; Mark P Beenhakker; Michael P Nusbaum
Journal:  J Neurosci       Date:  2004-12-15       Impact factor: 6.709

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  4 in total

1.  Circuit feedback increases activity level of a circuit input through interactions with intrinsic properties.

Authors:  Dawn M Blitz
Journal:  J Neurophysiol       Date:  2017-05-03       Impact factor: 2.714

2.  The role of electrical coupling in generating and modulating oscillations in a neuronal network.

Authors:  Christina Mouser; Amitabha Bose; Farzan Nadim
Journal:  Math Biosci       Date:  2016-05-14       Impact factor: 2.144

3.  Convergent neuromodulation onto a network neuron can have divergent effects at the network level.

Authors:  Nickolas Kintos; Michael P Nusbaum; Farzan Nadim
Journal:  J Comput Neurosci       Date:  2016-01-21       Impact factor: 1.621

4.  Neuromodulation to the Rescue: Compensation of Temperature-Induced Breakdown of Rhythmic Motor Patterns via Extrinsic Neuromodulatory Input.

Authors:  Carola Städele; Stefanie Heigele; Wolfgang Stein
Journal:  PLoS Biol       Date:  2015-09-29       Impact factor: 8.029

  4 in total

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