On Micro-Electrode Array Revival: Its Development, Sophistication of Recording, and Stimulation

Network activity of electrically active cells such as neurons and heart cells underlies fundamental physiological and pathophysiological functions. Despite the well-known properties of single neurons, synapses, and ion channels to exhibit long-term changes upon electrical or chemical stimulation, it is believed that only a concerted effort of many cells make up what it is commonly experienced in humans as self-awareness. In particular, higher brain functions such as associative learning, memory acquisition and retrieval, and pattern and speech recognition depend on many neurons acting synchronically in space and time. Moreover, pathophysiological conditions such as epilepsy, Alzheimer’s disease, or other psychological mental impairments have been shown to rely on many neurons to form one of the latter states. Thus many researchers have been seeking a multi-channel approach to bridge the gap in understanding single-cell properties and population coding in cellular networks. Despite the pioneering work by Thomas et al. (1972), Wise and Angell (1975), and Gross (1979) a remarkable step forward in Micro-Electrode Array (MEA) applications has been achieved only over the last ten years or so, particularly due to the lack of affordable computing power and commercial MEA systems. In this chapter we describe the technology of the most common MEA chips manufactured by the NMI (Natural and Medical Sciences Institute, Reutlingen, Germany), its various design approaches, and current developments. Furthermore, the multi-channel recording and analysis system around the MEA chip developed by and available from Multi Channel Systems (MCS, Reutlingen, Germany) together with new developments for multi-site stimulation are described. Additionally, emphasis is given towards an in-depth understanding of the physical prerequisites for adequate extracellular stimulation and recording using MEA. This in turn has led to new approaches in MEA electrode and insulation material as well as new developments in artifact suppression by using digital electronic feedback circuits implemented in a 60-channel MEA amplifier.

[1]  U. Egert,et al.  Extracellular recording in neuronal networks with substrate integrated microelectrode arrays. , 1994, Biosensors & bioelectronics.

[2]  Shimon Marom,et al.  Selective Adaptation in Networks of Cortical Neurons , 2003, The Journal of Neuroscience.

[3]  G. Gross Simultaneous Single Unit Recording in vitro with a Photoetched Laser Deinsulated Gold Multimicroelectrode Surface , 1979, IEEE Transactions on Biomedical Engineering.

[4]  Steve M. Potter,et al.  Distributed Processing in Cultured Neuronal Networks Chapter 4 , 2001 .

[5]  E. J. Tehovnik Electrical stimulation of neural tissue to evoke behavioral responses , 1996, Journal of Neuroscience Methods.

[6]  Enrico Marani,et al.  Geometry-based finite-element modeling of the electrical contact between a cultured neuron and a microelectrode , 2003, IEEE Transactions on Biomedical Engineering.

[7]  N. Ziv,et al.  Dopamine-induced dispersion of correlations between action potentials in networks of cortical neurons. , 2004, Journal of neurophysiology.

[8]  A. Aertsen,et al.  Two-dimensional monitoring of spiking networks in acute brain slices , 2001, Experimental Brain Research.

[9]  A van Bergen,et al.  Long-term stimulation of mouse hippocampal slice culture on microelectrode array. , 2003, Brain research. Brain research protocols.

[10]  Steve M. Potter,et al.  Effective parameters for stimulation of dissociated cultures using multi-electrode arrays , 2004, Journal of Neuroscience Methods.

[11]  Sara J. Aton,et al.  Olfactory bulb neurons express functional, entrainable circadian rhythms , 2004, The European journal of neuroscience.

[12]  Y. Kuniyoshi,et al.  Embodied Artificial Intelligence , 2004, Lecture Notes in Computer Science.

[13]  Kensall D. Wise,et al.  A Low-Capacitance Multielectrode Probe for Use in Extracellular Neurophysiology , 1975, IEEE Transactions on Biomedical Engineering.

[14]  Enrico Marani,et al.  Modeled channel distributions explain extracellular recordings from cultured neurons sealed to microelectrodes , 2002, IEEE Transactions on Biomedical Engineering.

[15]  Ulrich Egert,et al.  Biological application of microelectrode arrays in drug discovery and basic research , 2003, Analytical and bioanalytical chemistry.

[16]  Daniel A. Wagenaar,et al.  The Neurally Controlled Animat: Biological Brains Acting with Simulated Bodies , 2001, Auton. Robots.

[17]  Yasuhiko Jimbo,et al.  A system for MEA-based multisite stimulation , 2003, IEEE Transactions on Biomedical Engineering.

[18]  Erik D Herzog,et al.  Circadian Rhythms: In the Loop at Last , 2003, Science.

[19]  E. Zrenner,et al.  Electrical multisite stimulation of the isolated chicken retina , 2000, Vision Research.

[20]  Steve M. Potter,et al.  A versatile all-channel stimulator for electrode arrays, with real-time control , 2004, Journal of neural engineering.

[21]  G. Loeb,et al.  A miniature microelectrode array to monitor the bioelectric activity of cultured cells. , 1972, Experimental cell research.

[22]  P. Fromherz,et al.  Silicon-Neuron Junction: Capacitive Stimulation of an Individual Neuron on a Silicon Chip. , 1995, Physical review letters.

[23]  U. Egert,et al.  A thin film microelectrode array for monitoring extracellular neuronal activity in vitro. , 1994, Biosensors & bioelectronics.

[24]  Steve M. Potter,et al.  Removing Some 'A' from AI: Embodied Cultured Networks , 2003, Embodied Artificial Intelligence.