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Dapino, A.

Publications and source records attributed to Dapino, A..

2 recordsLinked to original sources

Coincidence detection supported by electrical synapses is shaped by the D-type K+ current

Electrical synapses mediated by gap junctions are widespread in the mammalian brain, playing essential roles in neural circuit function. Beyond their role synchronizing neuronal activity, they also support complex computations such as coincidence detection--a circuit mechanism in which differences in input timing are encoded by the firing rates of coupled neurons, enabling preferential responses to synchronous over temporally dispersed inputs. Electrical coupling allows each neuron to act as a current sink for its partner during independent depolarizations, thereby reducing excitability. In contrast, synchronous inputs across the network minimize voltage differences through gap junctions, reducing current shunting and increasing spiking probability. However, the contribution of intrinsic neuronal properties to coincidence detection remains poorly understood. Here, we investigated this issue in the Mesencephalic Trigeminal (MesV) Nucleus of mice, a structure composed of somatically-coupled neurons. Using whole-cell recordings and pharmacological tools, we examined the role of the D-type K+ current (ID), finding that it critically shapes both the intrinsic electrophysiological properties of MesV neurons and the dynamics of electrical synaptic transmission. Its fast activation kinetics and subthreshold voltage range of activation make ID a key determinant of transmission strength and timing. Furthermore, the ID, likely mediated by Kv1 subunits, is expressed at the soma and the axon initial segment. Finally, we characterized two key parameters of coincidence detection--precision (time window for effective input summation) and gain (differential response to coincident versus dispersed inputs)--finding that ID enhances precision by accelerating membrane repolarization and reduces the gain by limiting neuronal excitability. SUMMARYElectrical synapses enable neural circuits to perform as coincidence detectors, that is, to preferentially respond to simultaneous inputs. The temporal precision of this operation is critically determined by voltage-dependent conductances of the soma and proximal axon.

neuroscience↗

D-type K+ current controls the function of electrically coupled neurons in a species-specific fashion

Electrical synapses supported by gap junctions, are known to form networks of electrically coupled neurons in many regions of the mammalian brain, where they play relevant functional roles. Yet, how electrical coupling support sophisticated network operations, and the contribution of the intrinsic electrophysiological properties of neurons to these operations, remains incompletely understood. Here, comparative analysis of electrically coupled mesencephalic trigeminal (MesV) neurons, uncovered remarkable difference in the operation of these networks in highly related species. While spiking of MesV neurons might support the recruitment of coupled cells in rats, this rarely occurs in mice. Using whole-cell recordings, we determined that the higher efficacy in postsynaptic recruitment in rats MesV neurons does not result from coupling strength of larger magnitude, but instead from the higher excitability of coupled neurons. Consistently, MesV neurons from rats present a lower threshold current for activation, more hyperpolarized firing level as well as a higher ability to generate repetitive discharges, in comparison to their counterparts from mice. This difference in neuronal excitability results from a significantly higher magnitude of the D-type K+ current (ID) in MesV neurons from mice, indicating that the expression level of this current gates the recruitment of postsynaptic coupled neurons. Since MesV neurons are primary afferents critically involved in the organization of orofacial behaviors, such mechanism might support lateral excitation, by which activation of single neurons at the periphery can spread to coupled partners. Thus, by amplifying sensory inputs, lateral excitation may significantly contribute to information processing and organization of motor outputs.

neuroscience↗