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Published October 30, 2008 | public
Journal Article

Caged neuron MEA: A system for long-term investigation of cultured neural network connectivity

Abstract

Traditional techniques for investigating cultured neural networks, such as the patch clamp and multi-electrode array, are limited by: (1) the number of identified cells which can be simultaneously electrically contacted, (2) the length of time for which cells can be studied, and (3) the lack of one-to-one neuron-to-electrode specificity. Here, we present a new device – the caged neuron multi-electrode array – which overcomes these limitations. This micro-machined device consists of an array of neurocages which mechanically trap a neuron near an extracellular electrode. While the cell body is trapped, the axon and dendrites can freely grow into the surrounding area to form a network. The electrode is bi-directional, capable of both stimulating and recording action potentials. This system is non-invasive, so that all constituent neurons of a network can be studied over its lifetime with stable one-to-one neuron-to-electrode correspondence. Proof-of-concept experiments are described to illustrate that functional networks form in a neurochip system of 16 cages in a 4×4 array, and that suprathreshold connectivity can be fully mapped over several weeks. The neurochip opens a new domain in neurobiology for studying small cultured neural networks.

Additional Information

© 2008 Elsevier. Received 9 May 2008; revised 24 July 2008; accepted 24 July 2008. Available online 14 August 2008. We wish to express our sincerest gratitude to Sheri McKinney for expert assistance with cell culture; Pat Koen and Jean Edens for masterful production of SEMs; machine shop wizards Mike Roy and Steven Olson; Trevor Roper for assistance in the clean-room; John Rolston for assisting the implementation of the SALPA algorithm in MATLAB; Daniel Wagenaar and Gary Chow for helpful suggestions and discussions relating to this work. Funding for this work was provided by NIH grant NS044134.

Additional details

Created:
August 22, 2023
Modified:
October 17, 2023