Literature DB >> 17540452

A CMOS-based microelectrode array for interaction with neuronal cultures.

S Hafizovic1, F Heer, T Ugniwenko, U Frey, A Blau, C Ziegler, A Hierlemann.   

Abstract

We report on the system integration of a CMOS chip that is capable of bidirectionally communicating (stimulation and recording) with electrogenic cells such as neurons or cardiomyocytes and that is targeted at investigating electrical signal propagation within cellular networks in vitro. The overall system consists of three major subunits: first, the core component is a 6.5 mm x 6.5 mm CMOS chip, on top of which the cells are cultured. It features 128 bidirectional electrodes, each equipped with dedicated analog filters and amplification stages and a stimulation buffer. The electrodes are sampled at 20 kHz with 8-bit resolution. The measured input-referred circuitry noise is 5.9 microV root mean square (10 Hz to 100 kHz), which allows to reliably detect the cell signals ranging from 1 mVpp down to 40 microVpp. Additionally, temperature sensors, a digital-to-analog converter for stimulation, and a digital interface for data transmission are integrated. Second, there is a reconfigurable logic device, which provides chip control, event detection, data buffering and an USB interface, capable of processing the 2.56 million samples per second. The third element includes software that is running on a standard PC performing data capturing, processing, and visualization. Experiments involving the stimulation of neurons with two different spatio-temporal patterns and the recording of the triggered spiking activity have been carried out. The response patterns have been successfully classified (83% correct) with respect to the different stimulation patterns. The advantages over current microelectrode arrays, as has been demonstrated in the experiments, include the capability to stimulate (voltage stimulation, 8 bit, 60 kHz) spatio-temporal patterns on arbitrary sets of electrodes and the fast stimulation reset mechanism that allows to record neuronal signals on a stimulating electrode 5 ms after stimulation (instantaneously on all other electrodes). Other advantages of the overall system include the small number of needed electrical connections due to the digital interface and the short latency time that allows to initiate a stimulation less than 2 ms after the detection of an action potential in closed-loop configurations.

Mesh:

Year:  2007        PMID: 17540452     DOI: 10.1016/j.jneumeth.2007.04.006

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  18 in total

1.  Commentaries on "Informatics and medicine: from molecules to populations".

Authors:  R B Altman; R Balling; J F Brinkley; E Coiera; F Consorti; M A Dhansay; A Geissbuhler; W Hersh; S Y Kwankam; N M Lorenzi; F Martin-Sanchez; G I Mihalas; Y Shahar; K Takabayashi; G Wiederhold
Journal:  Methods Inf Med       Date:  2008       Impact factor: 2.176

2.  Mapping a complete neural population in the retina.

Authors:  Olivier Marre; Dario Amodei; Nikhil Deshmukh; Kolia Sadeghi; Frederick Soo; Timothy E Holy; Michael J Berry
Journal:  J Neurosci       Date:  2012-10-24       Impact factor: 6.167

3.  Closed-loop, open-source electrophysiology.

Authors:  John D Rolston; Robert E Gross; Steve M Potter
Journal:  Front Neurosci       Date:  2010-09-15       Impact factor: 4.677

4.  Fabrication and characterization of 3D micro- and nanoelectrodes for neuron recordings.

Authors:  Maria Dimaki; Patricia Vazquez; Mark Holm Olsen; Luigi Sasso; Romen Rodriguez-Trujillo; Indumathi Vedarethinam; Winnie E Svendsen
Journal:  Sensors (Basel)       Date:  2010-11-17       Impact factor: 3.576

Review 5.  In vitro studies of neuronal networks and synaptic plasticity in invertebrates and in mammals using multielectrode arrays.

Authors:  Paolo Massobrio; Jacopo Tessadori; Michela Chiappalone; Mirella Ghirardi
Journal:  Neural Plast       Date:  2015-03-17       Impact factor: 3.599

6.  Direct Interfacing of Neurons to Highly Integrated Microsystems

Authors:  Andreas Hierlemann
Journal:  Proc IEEE Int Conf Micro Electro Mech Syst       Date:  2017-02-28

Review 7.  CMOS cell sensors for point-of-care diagnostics.

Authors:  Yekbun Adiguzel; Haluk Kulah
Journal:  Sensors (Basel)       Date:  2012-07-25       Impact factor: 3.576

8.  Sub-millisecond closed-loop feedback stimulation between arbitrary sets of individual neurons.

Authors:  Jan Müller; Douglas J Bakkum; Andreas Hierlemann
Journal:  Front Neural Circuits       Date:  2013-01-10       Impact factor: 3.492

9.  High-density microelectrode array recordings and real-time spike sorting for closed-loop experiments: an emerging technology to study neural plasticity.

Authors:  Felix Franke; David Jäckel; Jelena Dragas; Jan Müller; Milos Radivojevic; Douglas Bakkum; Andreas Hierlemann
Journal:  Front Neural Circuits       Date:  2012-12-20       Impact factor: 3.492

10.  A direct-to-drive neural data acquisition system.

Authors:  Justin P Kinney; Jacob G Bernstein; Andrew J Meyer; Jessica B Barber; Marti Bolivar; Bryan Newbold; Jorg Scholvin; Caroline Moore-Kochlacs; Christian T Wentz; Nancy J Kopell; Edward S Boyden
Journal:  Front Neural Circuits       Date:  2015-09-01       Impact factor: 3.492

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