• J. Neurosci. Methods · Mar 2009

    Extracellular recordings from locally dense microelectrode arrays coupled to dissociated cortical cultures.

    • L Berdondini, P Massobrio, M Chiappalone, M Tedesco, K Imfeld, A Maccione, M Gandolfo, M Koudelka-Hep, and S Martinoia.
    • Institute of Microtechnology (IMT), Université de Neuchâtel, Jaquet-Droz 1, 2007 Neuchâtel, Switzerland. Luca.Berdondini@iit.it <Luca.Berdondini@iit.it>
    • J. Neurosci. Methods. 2009 Mar 15; 177 (2): 386-96.

    AbstractHigh-density microelectrode arrays (MEAs) enabled by recent developments of microelectronic circuits (CMOS-MEA) and providing spatial resolutions down to the cellular level open the perspective to access simultaneously local and overall neuronal network activities expressed by in vitro preparations. The short inter-electrode separation results in a gain of information on the micro-circuit neuronal dynamics and signal propagation, but requires the careful evaluation of the time resolution as well as the assessment of possible cross-talk artifacts. In this respect, we have realized and tested Pt high-density (HD)-MEAs featuring four local areas with 10microm inter-electrode spacing and providing a suitable noise level for the assessment of the high-density approach. First, simulated results show how possible artifacts (duplicated spikes) can be theoretically observed on nearby microelectrodes only for very high-shunt resistance values (e.g. R(sh)=50 kOmega generates up to 60% of false positives). This limiting condition is not compatible with typical experimental conditions (i.e. dense but not confluent cultures). Experiments performed on spontaneously active cortical neuronal networks show that spike synchronicity decreases by increasing the time resolution and analysis results show that the detected synchronous spikes on nearby electrodes are likely to be unresolved (in time) fast local propagations. Finally, functional connectivity analysis results show stronger local connections than long connections spread homogeneously over the whole network demonstrating the expected gain in detail provided by the spatial resolution.

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