title: Investigating inter-segmental connections between thoracic ganglia in the stick insect by means of experimental and simulated phase response curves.
abstract: The neuronal networks that control the motion of the individual legs in insects, in particular in the stick insect, are located in the pro-, meso- and meta-thoracic ganglia. They ensure high flexibility of movement control. Thus, the legs can move in an apparently independent way, e.g., during search movements, but also in tight coordination during locomotion. The latter is evidently a very important behavioural mode. It has, therefore, inspired a large number of studies, all aiming at uncovering the nature of the inter-leg coordination. One of the basic questions has been as to how the individual control networks in the three thoracic ganglia are connected to each other. One way to study this problem is to use phase response curves. They can reveal properties of the coupling between oscillatory systems, such as the central pattern generators in the control networks in the thoracic ganglia. In this paper, we report results that we have achieved by means of a combined experimental and modelling approach. We have calculated phase response curves from data obtained in as yet unpublished experiments as well as from those in previously published ones. By using models of the connected pro- and meso-thoracic control networks of the protractor and retractor neuromuscular systems, we have also produced simulated phase response curves and compared them with the experimental ones. In this way, we could gain important information of the nature of the connections between the aforementioned control networks. Specifically, we have found that connections from both the protractor and the retractor "sides" of the pro-thoracic network to the meso-thoracic one are necessary for producing phase response curves that show close similarity to the experimental ones. Furthermore, the strength of the excitatory connections has been proven to be crucial, while the inhibitory connections have essentially been irrelevant. We, thus, suggest that this type of connection might also be present in the stick insect, and possibly in other insect species.
authors.affiliation: Heisenberg Research Group of Computational Biology, Department of Animal Physiology, Institute of Zoology, University of Cologne, Zülpicher Str. 47b, 50674, Cologne, Germany.
authors.forename: Tibor I
authors.initials: TI
authors.lastname: Tóth
authors.forename: Martyna
authors.initials: M
authors.lastname: Grabowska
authors.forename: Nils
authors.initials: N
authors.lastname: Rosjat
authors.forename: Katja
authors.initials: K
authors.lastname: Hellekes
authors.forename: Anke
authors.initials: A
authors.lastname: Borgmann
authors.forename: Silvia
authors.initials: S
authors.lastname: Daun-Gruhn
mesh_terms: D000200:Action Potentials / Q000187:drug effects / Q000502:physiology; D000818:Animals; D003198:Computer Simulation; D005121:Extremities / Q000502:physiology; D007313:Insecta / Q000502:physiology; D008124:Locomotion / Q000502:physiology; D008959:Models, Neurological; D009046:Motor Neurons / Q000187:drug effects / Q000502:physiology*; D018721:Muscarinic Agonists / Q000494:pharmacology; D009415:Nerve Net / Q000187:drug effects / Q000502:physiology*; D009469:Neuromuscular Junction / Q000187:drug effects / Q000502:physiology; D010862:Pilocarpine / Q000494:pharmacology; D013233:Stellate Ganglion / Q000166:cytology*
chemical_list: D018721:Muscarinic Agonists; D010862:Pilocarpine