A Multi-channel platform for recording and stimulation of large neuronal structures

Abstract In order to understand the dynamics of large neural networks, where information is widely distributed over thousands of cells, one of today's challenges is to successfully record the simultaneous activities of as many neurons as possible. This is made possible by using microelectrodes arrays (MEA) positioned in contact with the neural tissue. Thanks to microelectronics’ microfabrication technologies, it now becomes possible to build high-density MEA containing several hundreds of microelectrodes. However, increasing the number of electrodes using conventional electronics is difficult to achieve. Moreover, high-density devices addressing all channels independently for simultaneous recording and stimulation are not readily available. Here, we present a 256-channel in vitro MEA data acquisition system with integrated electronics allowing simultaneous recording and stimulation of neural networks for in vitro and in vivo applications. This integration is a first step towards an implantable device for a neural prosthesis.

[1]  N. Bezayiff,et al.  Development of integrated circuits for readout of microelectrode arrays to image neuronal activity in live retinal tissue , 2003, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).

[2]  E. Fetz,et al.  Long-term motor cortex plasticity induced by an electronic neural implant , 2006, Nature.

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

[4]  A. Lambacher,et al.  High-resolution multitransistor array recording of electrical field potentials in cultured brain slices. , 2006, Journal of neurophysiology.

[5]  Miguel A. L. Nicolelis,et al.  Actions from thoughts , 2001, Nature.

[6]  W. Rutten.  Selective electrical interfaces with the nervous system. , 2002, Annual review of biomedical engineering.

[7]  G. Buzsáki.  Large-scale recording of neuronal ensembles , 2004, Nature Neuroscience.

[8]  David Olivier,et al.  Closed-loop control of seizures in a rat model of absence epilepsy using the BioMEA™ system , 2009, 2009 4th International IEEE/EMBS Conference on Neural Engineering.

[9]  Stephen P. DeWeerth,et al.  A custom multielectrode array with integrated low-noise preamplifiers , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[10]  Gregory T. A. Kovacs,et al.  Electronic sensors with living cellular components , 2003, Proc. IEEE.

[11]  Andreas Hierlemann,et al.  An 11k-Electrode 126-Channel High-Density Microelectrode Array to Interact with Electrogenic Cells , 2007, 2007 IEEE International Solid-State Circuits Conference. Digest of Technical Papers.

[12]  M. Nicolelis,et al.  Reconstructing the Engram: Simultaneous, Multisite, Many Single Neuron Recordings , 1997, Neuron.

[13]  R.R. Harrison,et al.  Wireless Neural Recording With Single Low-Power Integrated Circuit , 2009, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[14]  O. Billoint,et al.  BioMEATM : a 256-channel MEA system with integrated electronics , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  R. Guillemaud,et al.  Real-time adaptive discrimination threshold estimation for embedded neural signals detection , 2009, 2009 4th International IEEE/EMBS Conference on Neural Engineering.

[16]  John M. Beggs,et al.  Neuronal Avalanches in Neocortical Circuits , 2003, The Journal of Neuroscience.

[17]  J. Weiland,et al.  Retinal prosthesis for the blind. , 2002, Survey of ophthalmology.

[18]  L. Berdondinia,et al.  High-density electrode array for imaging in vitro electrophysiological activity , 2005 .