Literature DB >> 22266817

A novel high electrode count spike recording array using an 81,920 pixel transimpedance amplifier-based imaging chip.

Lee J Johnson1, Ethan Cohen, Doug Ilg, Richard Klein, Perry Skeath, Dean A Scribner.   

Abstract

Microelectrode recording arrays of 60-100 electrodes are commonly used to record neuronal biopotentials, and these have aided our understanding of brain function, development and pathology. However, higher density microelectrode recording arrays of larger area are needed to study neuronal function over broader brain regions such as in cerebral cortex or hippocampal slices. Here, we present a novel design of a high electrode count picocurrent imaging array (PIA), based on an 81,920 pixel Indigo ISC9809 readout integrated circuit camera chip. While originally developed for interfacing to infrared photodetector arrays, we have adapted the chip for neuron recording by bonding it to microwire glass resulting in an array with an inter-electrode pixel spacing of 30 μm. In a high density electrode array, the ability to selectively record neural regions at high speed and with good signal to noise ratio are both functionally important. A critical feature of our PIA is that each pixel contains a dedicated low noise transimpedance amplifier (∼0.32 pA rms) which allows recording high signal to noise ratio biocurrents comparable to single electrode voltage amplifier recordings. Using selective sampling of 256 pixel subarray regions, we recorded the extracellular biocurrents of rabbit retinal ganglion cell spikes at sampling rates up to 7.2 kHz. Full array local electroretinogram currents could also be recorded at frame rates up to 100 Hz. A PIA with a full complement of 4 readout circuits would span 1cm and could acquire simultaneous data from selected regions of 1024 electrodes at sampling rates up to 9.3 kHz. Published by Elsevier B.V.

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Year:  2012        PMID: 22266817     DOI: 10.1016/j.jneumeth.2012.01.003

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


  8 in total

1.  Technical considerations for generating somatosensation via cortical stimulation in a closed-loop sensory/motor brain-computer interface system in humans.

Authors:  Daniel R Kramer; Spencer Kellis; Michael Barbaro; Michelle Armenta Salas; George Nune; Charles Y Liu; Richard A Andersen; Brian Lee
Journal:  J Clin Neurosci       Date:  2019-01-31       Impact factor: 1.961

2.  Statistically Reconstructed Multiplexing for Very Dense, High-Channel-Count Acquisition Systems.

Authors:  David Tsai; Rafael Yuste; Kenneth L Shepard
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2018-02       Impact factor: 3.833

3.  Extracellular Recording of Entire Neural Networks Using a Dual-Mode Microelectrode Array With 19584 Electrodes and High SNR.

Authors:  Xinyue Yuan; Andreas Hierlemann; Urs Frey
Journal:  IEEE J Solid-State Circuits       Date:  2021-03-24       Impact factor: 5.013

Review 4.  Over a century of neuron culture: from the hanging drop to microfluidic devices.

Authors:  Larry J Millet; Martha U Gillette
Journal:  Yale J Biol Med       Date:  2012-12-13

Review 5.  Revealing neuronal function through microelectrode array recordings.

Authors:  Marie Engelene J Obien; Kosmas Deligkaris; Torsten Bullmann; Douglas J Bakkum; Urs Frey
Journal:  Front Neurosci       Date:  2015-01-06       Impact factor: 4.677

6.  A very large-scale microelectrode array for cellular-resolution electrophysiology.

Authors:  David Tsai; Daniel Sawyer; Adrian Bradd; Rafael Yuste; Kenneth L Shepard
Journal:  Nat Commun       Date:  2017-11-27       Impact factor: 14.919

7.  Inflammatory cytokine-induced changes in neural network activity measured by waveform analysis of high-content calcium imaging in murine cortical neurons.

Authors:  Benjamin D S Clarkson; Robert J Kahoud; Christina B McCarthy; Charles L Howe
Journal:  Sci Rep       Date:  2017-08-22       Impact factor: 4.379

8.  Automatic spike sorting for high-density microelectrode arrays.

Authors:  Roland Diggelmann; Michele Fiscella; Andreas Hierlemann; Felix Franke
Journal:  J Neurophysiol       Date:  2018-09-12       Impact factor: 2.714

  8 in total

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