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CHIME: CMOS-Hosted in vivo Microelectrodes for Massively Scalable Neuronal Recordings
Mammalian brains consist of 10s of millions to 100s of billions of neurons operating at millisecond time scales, of which current recording techniques only capture a tiny fraction. Recording techniques capable of sampling neural activity at high spatiotemporal resolution have been difficult to scale...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7432274/ https://www.ncbi.nlm.nih.gov/pubmed/32848584 http://dx.doi.org/10.3389/fnins.2020.00834 |
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author | Kollo, Mihaly Racz, Romeo Hanna, Mina-Elraheb Obaid, Abdulmalik Angle, Matthew R. Wray, William Kong, Yifan Müller, Jan Hierlemann, Andreas Melosh, Nicholas A. Schaefer, Andreas T. |
author_facet | Kollo, Mihaly Racz, Romeo Hanna, Mina-Elraheb Obaid, Abdulmalik Angle, Matthew R. Wray, William Kong, Yifan Müller, Jan Hierlemann, Andreas Melosh, Nicholas A. Schaefer, Andreas T. |
author_sort | Kollo, Mihaly |
collection | PubMed |
description | Mammalian brains consist of 10s of millions to 100s of billions of neurons operating at millisecond time scales, of which current recording techniques only capture a tiny fraction. Recording techniques capable of sampling neural activity at high spatiotemporal resolution have been difficult to scale. The most intensively studied mammalian neuronal networks, such as the neocortex, show a layered architecture, where the optimal recording technology samples densely over large areas. However, the need for application-specific designs as well as the mismatch between the three-dimensional architecture of the brain and largely two-dimensional microfabrication techniques profoundly limits both neurophysiological research and neural prosthetics. Here, we discuss a novel strategy for scalable neuronal recording by combining bundles of glass-ensheathed microwires with large-scale amplifier arrays derived from high-density CMOS in vitro MEA systems or high-speed infrared cameras. High signal-to-noise ratio (<25 μV RMS noise floor, SNR up to 25) is achieved due to the high conductivity of core metals in glass-ensheathed microwires allowing for ultrathin metal cores (down to <1 μm) and negligible stray capacitance. Multi-step electrochemical modification of the tip enables ultra-low access impedance with minimal geometric area, which is largely independent of the core diameter. We show that the microwire size can be reduced to virtually eliminate damage to the blood-brain-barrier upon insertion and we demonstrate that microwire arrays can stably record single-unit activity. Combining microwire bundles and CMOS arrays allows for a highly scalable neuronal recording approach, linking the progress in electrical neuronal recordings to the rapid progress in silicon microfabrication. The modular design of the system allows for custom arrangement of recording sites. Our approach of employing bundles of minimally invasive, highly insulated and functionalized microwires to extend a two-dimensional CMOS architecture into the 3rd dimension can be translated to other CMOS arrays, such as electrical stimulation devices. |
format | Online Article Text |
id | pubmed-7432274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74322742020-08-25 CHIME: CMOS-Hosted in vivo Microelectrodes for Massively Scalable Neuronal Recordings Kollo, Mihaly Racz, Romeo Hanna, Mina-Elraheb Obaid, Abdulmalik Angle, Matthew R. Wray, William Kong, Yifan Müller, Jan Hierlemann, Andreas Melosh, Nicholas A. Schaefer, Andreas T. Front Neurosci Neuroscience Mammalian brains consist of 10s of millions to 100s of billions of neurons operating at millisecond time scales, of which current recording techniques only capture a tiny fraction. Recording techniques capable of sampling neural activity at high spatiotemporal resolution have been difficult to scale. The most intensively studied mammalian neuronal networks, such as the neocortex, show a layered architecture, where the optimal recording technology samples densely over large areas. However, the need for application-specific designs as well as the mismatch between the three-dimensional architecture of the brain and largely two-dimensional microfabrication techniques profoundly limits both neurophysiological research and neural prosthetics. Here, we discuss a novel strategy for scalable neuronal recording by combining bundles of glass-ensheathed microwires with large-scale amplifier arrays derived from high-density CMOS in vitro MEA systems or high-speed infrared cameras. High signal-to-noise ratio (<25 μV RMS noise floor, SNR up to 25) is achieved due to the high conductivity of core metals in glass-ensheathed microwires allowing for ultrathin metal cores (down to <1 μm) and negligible stray capacitance. Multi-step electrochemical modification of the tip enables ultra-low access impedance with minimal geometric area, which is largely independent of the core diameter. We show that the microwire size can be reduced to virtually eliminate damage to the blood-brain-barrier upon insertion and we demonstrate that microwire arrays can stably record single-unit activity. Combining microwire bundles and CMOS arrays allows for a highly scalable neuronal recording approach, linking the progress in electrical neuronal recordings to the rapid progress in silicon microfabrication. The modular design of the system allows for custom arrangement of recording sites. Our approach of employing bundles of minimally invasive, highly insulated and functionalized microwires to extend a two-dimensional CMOS architecture into the 3rd dimension can be translated to other CMOS arrays, such as electrical stimulation devices. Frontiers Media S.A. 2020-08-11 /pmc/articles/PMC7432274/ /pubmed/32848584 http://dx.doi.org/10.3389/fnins.2020.00834 Text en Copyright © 2020 Kollo, Racz, Hanna, Obaid, Angle, Wray, Kong, Müller, Hierlemann, Melosh and Schaefer. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Kollo, Mihaly Racz, Romeo Hanna, Mina-Elraheb Obaid, Abdulmalik Angle, Matthew R. Wray, William Kong, Yifan Müller, Jan Hierlemann, Andreas Melosh, Nicholas A. Schaefer, Andreas T. CHIME: CMOS-Hosted in vivo Microelectrodes for Massively Scalable Neuronal Recordings |
title | CHIME: CMOS-Hosted in vivo Microelectrodes for Massively Scalable Neuronal Recordings |
title_full | CHIME: CMOS-Hosted in vivo Microelectrodes for Massively Scalable Neuronal Recordings |
title_fullStr | CHIME: CMOS-Hosted in vivo Microelectrodes for Massively Scalable Neuronal Recordings |
title_full_unstemmed | CHIME: CMOS-Hosted in vivo Microelectrodes for Massively Scalable Neuronal Recordings |
title_short | CHIME: CMOS-Hosted in vivo Microelectrodes for Massively Scalable Neuronal Recordings |
title_sort | chime: cmos-hosted in vivo microelectrodes for massively scalable neuronal recordings |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7432274/ https://www.ncbi.nlm.nih.gov/pubmed/32848584 http://dx.doi.org/10.3389/fnins.2020.00834 |
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