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Multisite electrophysiological recordings by self-assembled loose-patch-like junctions between cultured hippocampal neurons and mushroom-shaped microelectrodes.


ABSTRACT: Substrate integrated planar microelectrode arrays is the "gold standard" method for millisecond-resolution, long-term, large-scale, cell-noninvasive electrophysiological recordings from mammalian neuronal networks. Nevertheless, these devices suffer from drawbacks that are solved by spike-detecting, spike-sorting and signal-averaging techniques which rely on estimated parameters that require user supervision to correct errors, merge clusters and remove outliers. Here we show that primary rat hippocampal neurons grown on micrometer sized gold mushroom-shaped microelectrodes (gM?E) functionalized simply by poly-ethylene-imine/laminin undergo self-assembly processes to form loose patch-like hybrid structures. More than 90% of the hybrids formed in this way record monophasic positive action potentials (APs). Of these, 34.5% record APs with amplitudes above 300??V and up to 5,085??V. This self-assembled neuron-gM?E configuration improves the recording quality as compared to planar MEA. This study characterizes and analyzes the electrophysiological signaling repertoire generated by the neurons-gM?E configuration, and discusses prospects to further improve the technology.

SUBMITTER: Shmoel N 

PROVIDER: S-EPMC4891817 | biostudies-other | 2016

REPOSITORIES: biostudies-other

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Multisite electrophysiological recordings by self-assembled loose-patch-like junctions between cultured hippocampal neurons and mushroom-shaped microelectrodes.

Shmoel Nava N   Rabieh Noha N   Ojovan Silviya M SM   Erez Hadas H   Maydan Eilon E   Spira Micha E ME  

Scientific reports 20160603


Substrate integrated planar microelectrode arrays is the "gold standard" method for millisecond-resolution, long-term, large-scale, cell-noninvasive electrophysiological recordings from mammalian neuronal networks. Nevertheless, these devices suffer from drawbacks that are solved by spike-detecting, spike-sorting and signal-averaging techniques which rely on estimated parameters that require user supervision to correct errors, merge clusters and remove outliers. Here we show that primary rat hip  ...[more]

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