Literature DB >> 18044016

Inferring connection proximity in networks of electrically coupled cells by subthreshold frequency response analysis.

Corrado Calì1, Thomas K Berger, Michele Pignatelli, Alan Carleton, Henry Markram, Michele Giugliano.   

Abstract

Electrical synapses continuously transfer signals bi-directionally from one cell to another, directly or indirectly via intermediate cells. Electrical synapses are common in many brain structures such as the inferior olive, the subcoeruleus nucleus and the neocortex, between neurons and between glial cells. In the cortex, interneurons have been shown to be electrically coupled and proposed to participate in large, continuous cortical syncytia, as opposed to smaller spatial domains of electrically coupled cells. However, to explore the significance of these findings it is imperative to map the electrical synaptic microcircuits, in analogy with in vitro studies on monosynaptic and disynaptic chemical coupling. Since "walking" from cell to cell over large distances with a glass pipette is challenging, microinjection of (fluorescent) dyes diffusing through gap-junctions remains so far the only method available to decipher such microcircuits even though technical limitations exist. Based on circuit theory, we derive analytical descriptions of the AC electrical coupling in networks of isopotential cells. We then suggest an operative electrophysiological protocol to distinguish between direct electrical connections and connections involving one or more intermediate cells. This method allows inferring the number of intermediate cells, generalizing the conventional coupling coefficient, which provides limited information. We validate our method through computer simulations, theoretical and numerical methods and electrophysiological paired recordings.

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Year:  2007        PMID: 18044016     DOI: 10.1007/s10827-007-0058-2

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  33 in total

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3.  A network of electrically coupled interneurons drives synchronized inhibition in neocortex.

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4.  Dynamics of spiking neurons connected by both inhibitory and electrical coupling.

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Review 5.  Electrical synapses: a dynamic signaling system that shapes the activity of neuronal networks.

Authors:  Sheriar G Hormuzdi; Mikhail A Filippov; Georgia Mitropoulou; Hannah Monyer; Roberto Bruzzone
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6.  Overcoming photodamage in second-harmonic generation microscopy: real-time optical recording of neuronal action potentials.

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Journal:  Biochim Biophys Acta       Date:  2005-09-21

10.  Model of synchronized population bursts in electrically coupled interneurons containing active dendritic conductances.

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Journal:  J Comput Neurosci       Date:  1995-12       Impact factor: 1.621

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  2 in total

1.  Estimating functional connectivity in an electrically coupled interneuron network.

Authors:  Pepe Alcami; Alain Marty
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-18       Impact factor: 11.205

2.  Modelling the Effects of Electrical Coupling between Unmyelinated Axons of Brainstem Neurons Controlling Rhythmic Activity.

Authors:  Michael J Hull; Stephen R Soffe; David J Willshaw; Alan Roberts
Journal:  PLoS Comput Biol       Date:  2015-05-08       Impact factor: 4.475

  2 in total

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