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Multi-electrode array capable of supporting precisely patterned hippocampal neuronal networks

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Abstract

Accurate positioning of primary mouse hippocampal neurons on electrodes enables the recording from and stimulation of specified individual neurons on a multi-electrode array (MEA). In this work, positive dielectrophoresis (DEP) is applied to actively recruit hippocampal neurons to the electrodes of a MEA, whereas microstructures such as chambers and trenches are created to effectively define a patterned neuronal network. We present here the effective pretreatment methods, to improve cytocompatibility of cured thin SU-8 epoxy, commonly used in the fabrication of MEAs. The functionality of our novel MEA is proven by the successful recording of spontaneous and stimulated neuronal potentials from primary hippocampal neurons, including the propagation of evoked neuronal bursts between electrodes.

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Acknowledgments

This work was partially funded by National Science Foundation (NSF) grant NSF ECCS-1321356 and a grant to Lehigh University from the Howard Hughes Medical Institute (HHMI) through the Precollege and Undergraduate Science Education Program.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA, 18015, USA

    Tianyi Zhou, Yevgeny Berdichevsky & Svetlana Tatic-Lucic

  2. Bioengineering Program, Lehigh University, Bethlehem, PA, 18015, USA

    Susan F. Perry, Yevgeny Berdichevsky, Susanne Petryna, Vicki Fluck & Svetlana Tatic-Lucic

  3. Department of Chemical Engineering, Lehigh University, Bethlehem, PA, 18015, USA

    Susan F. Perry

  4. Lehigh University, 16A Memorial Dr. East, Bethlehem, PA, 18015, USA

    Tianyi Zhou & Svetlana Tatic-Lucic

Authors
  1. Tianyi Zhou
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  2. Susan F. Perry
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  3. Yevgeny Berdichevsky
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  4. Susanne Petryna
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  6. Svetlana Tatic-Lucic
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Correspondence to Tianyi Zhou or Svetlana Tatic-Lucic.

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Zhou, T., Perry, S.F., Berdichevsky, Y. et al. Multi-electrode array capable of supporting precisely patterned hippocampal neuronal networks. Biomed Microdevices 17, 2 (2015). https://doi.org/10.1007/s10544-014-9907-8

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  • DOI: https://doi.org/10.1007/s10544-014-9907-8

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