title: Convergent neuromodulation onto a network neuron can have divergent effects at the network level.
abstract: Different neuromodulators often target the same ion channel. When such modulators act on different neuron types, this convergent action can enable a rhythmic network to produce distinct outputs. Less clear are the functional consequences when two neuromodulators influence the same ion channel in the same neuron. We examine the consequences of this seeming redundancy using a mathematical model of the crab gastric mill (chewing) network. This network is activated in vitro by the projection neuron MCN1, which elicits a half-center bursting oscillation between the reciprocally-inhibitory neurons LG and Int1. We focus on two neuropeptides which modulate this network, including a MCN1 neurotransmitter and the hormone crustacean cardioactive peptide (CCAP). Both activate the same voltage-gated current (I MI ) in the LG neuron. However, I MI-MCN1 , resulting from MCN1 released neuropeptide, has phasic dynamics in its maximal conductance due to LG presynaptic inhibition of MCN1, while I MI-CCAP retains the same maximal conductance in both phases of the gastric mill rhythm. Separation of time scales allows us to produce a 2D model from which phase plane analysis shows that, as in the biological system, I MI-MCN1 and I MI-CCAP primarily influence the durations of opposing phases of this rhythm. Furthermore, I MI-MCN1 influences the rhythmic output in a manner similar to the Int1-to-LG synapse, whereas I MI-CCAP has an influence similar to the LG-to-Int1 synapse. These results show that distinct neuromodulators which target the same voltage-gated ion channel in the same network neuron can nevertheless produce distinct effects at the network level, providing divergent neuromodulator actions on network activity.
authors.affiliation: Department of Mathematics, Saint Peter's University, Jersey City, NJ, 07306, USA.
authors.forename: Nickolas
authors.initials: N
authors.lastname: Kintos
authors.affiliation: Department of Neuroscience, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA.
authors.forename: Michael P
authors.initials: MP
authors.lastname: Nusbaum
authors.affiliation: Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, 323 Martin Luther King Blvd., Newark, NJ, 07102, USA. farzan@njit.edu.
authors.forename: Farzan
authors.initials: F
authors.lastname: Nadim
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D000070559:Gizzard, Non-avian / Q000502:physiology; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D018377:Neurotransmitter Agents / Q000378:metabolism*; D017711:Nonlinear Dynamics; D010507:Periodicity
chemical_list: D018377:Neurotransmitter Agents
keywords: Central pattern generator; Mathematical modeling; Neuromodulation; Phase plane analysis; Stomatogastric ganglion