title: Membrane potential resonance frequency directly influences network frequency through electrical coupling.
abstract: Oscillatory networks often include neurons with membrane potential resonance, exhibiting a peak in the voltage amplitude as a function of current input at a nonzero (resonance) frequency (fres). Although freshas been correlated to the network frequency (fnet) in a variety of systems, a causal relationship between the two has not been established. We examine the hypothesis that combinations of biophysical parameters that shift fres, without changing other attributes of the impedance profile, also shift fnetin the same direction. We test this hypothesis, computationally and experimentally, in an electrically coupled network consisting of intrinsic oscillator (O) and resonator (R) neurons. We use a two-cell model of such a network to show that increasing fresof R directly increases fnetand that this effect becomes more prominent if the amplitude of resonance is increased. Notably, the effect of freson fnetis independent of the parameters that define the oscillator or the combination of parameters in R that produce the shift in fres, as long as this combination produces the same impedance vs. frequency relationship. We use the dynamic clamp technique to experimentally verify the model predictions by connecting a model resonator to the pacemaker pyloric dilator neurons of the crab Cancer borealis pyloric network using electrical synapses and show that the pyloric network frequency can be shifted by changing fresin the resonator. Our results provide compelling evidence that fresand resonance amplitude strongly influence fnet, and therefore, modulators may target these attributes to modify rhythmic activity.
authors.affiliation: Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, Newark, New Jersey; and.
authors.forename: Yinbo
authors.initials: Y
authors.lastname: Chen
authors.affiliation: Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, Newark, New Jersey; and.
authors.forename: Xinping
authors.initials: X
authors.lastname: Li
authors.affiliation: Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, Newark, New Jersey; and Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, New Jersey.
authors.forename: Horacio G
authors.initials: HG
authors.lastname: Rotstein
authors.affiliation: Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, Newark, New Jersey; and Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, New Jersey farzan@njit.edu.
authors.forename: Farzan
authors.identifier: 0000-0003-4144-9042
authors.initials: F
authors.lastname: Nadim
mesh_terms: D000818:Animals; D003386:Brachyura; D017097:Electric Impedance; D054351:Electrical Synapses / Q000502:physiology*; D017952:Ganglia, Invertebrate / Q000502:physiology; D008297:Male; D008564:Membrane Potentials / Q000502:physiology*; D008959:Models, Neurological; D009434:Neural Pathways / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D018408:Patch-Clamp Techniques; D010507:Periodicity
keywords: computational modeling; dynamic clamp; oscillations; resonance; stomatogastric