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Distinct mechanisms underlie electrical coupling resonance and its interaction with membrane potential resonance.

Authors :
Xinping Li
Itani, Omar
Bucher, Dirk M.
Rotstein, Horacio G.
Nadim, Farzan
Source :
Frontiers in Systems Biology; 3/8/2023, Vol. 3, p1-15, 15p
Publication Year :
2023

Abstract

Neurons in oscillatory networks often exhibit membrane potential resonance, a peak impedance at a non-zero input frequency. In electrically coupled oscillatory networks, the coupling coefficient (the ratio of post- and prejunctional voltage responses) could also show resonance. Such coupling resonance may emerge from the interaction between the coupling current and resonance properties of the coupled neurons, but this relationship has not been clearly described. Additionally, it is unknown if the gap-junction mediated electrical coupling conductance may have frequency dependence. We examined these questions by recording a pair of electrically coupled neurons in the oscillatory pyloric network of the crab Cancer borealis. We performed dual current- and voltageclamp recordings and quantified the frequency preference of the coupled neurons, the coupling coefficient, the electrical conductance, and the postjunctional neuronal response. We found that all components exhibit frequency selectivity, but with distinct preferred frequencies. Mathematical and computational analysis showed that membrane potential resonance of the postjunctional neuron was sufficient to give rise to resonance properties of the coupling coefficient, but not the coupling conductance. A distinct coupling conductance resonance frequency therefore emerges either from other circuit components or from the gating properties of the gap junctions. Finally, to explore the functional effect of the resonance of the coupling conductance, we examined its role in synchronizing neuronal the activities of electrically coupled bursting model neurons. Together, our findings elucidate factors that produce electrical coupling resonance and the function of this resonance in oscillatory networks. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
26740702
Volume :
3
Database :
Complementary Index
Journal :
Frontiers in Systems Biology
Publication Type :
Academic Journal
Accession number :
174397728
Full Text :
https://doi.org/10.3389/fsysb.2023.1122433