Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability
© 2018 American Physiological Society. All rights reserved. Much innovation is currently aimed at improving the number, density, and geometry of electrodes on extracellular multielectrode arrays for in vivo recording of neural activity in the mammalian brain. To choose a multielectrode array configu...
| Main Authors: | , , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
American Physiological Society
2021
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| Online Access: | https://hdl.handle.net/1721.1/133332 |
| _version_ | 1826216757897986048 |
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| author | Allen, Brian D Moore-Kochlacs, Caroline Bernstein, Jacob G Kinney, Justin P Scholvin, Jorg Seoane, Luís F Chronopoulos, Chris Lamantia, Charlie Kodandaramaiah, Suhasa B Tegmark, Max Boyden, Edward S |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Allen, Brian D Moore-Kochlacs, Caroline Bernstein, Jacob G Kinney, Justin P Scholvin, Jorg Seoane, Luís F Chronopoulos, Chris Lamantia, Charlie Kodandaramaiah, Suhasa B Tegmark, Max Boyden, Edward S |
| author_sort | Allen, Brian D |
| collection | MIT |
| description | © 2018 American Physiological Society. All rights reserved. Much innovation is currently aimed at improving the number, density, and geometry of electrodes on extracellular multielectrode arrays for in vivo recording of neural activity in the mammalian brain. To choose a multielectrode array configuration for a given neuroscience purpose, or to reveal design principles of future multielectrode arrays, it would be useful to have a systematic way of evaluating the spike recording capability of such arrays. We describe an automated system that performs robotic patch-clamp recording of a neuron being simultaneously recorded via an extracellular multielectrode array. By recording a patch-clamp data set from a neuron while acquiring extracellular recordings from the same neuron, we can evaluate how well the extracellular multielectrode array captures the spiking information from that neuron. To demonstrate the utility of our system, we show that it can provide data from the mammalian cortex to evaluate how the spike sorting performance of a close-packed extracellular multielectrode array is affected by bursting, which alters the shape and amplitude of spikes in a train. We also introduce an algorithmic framework to help evaluate how the number of electrodes in a multielectrode array affects spike sorting, examining how adding more electrodes yields data that can be spike sorted more easily. Our automated methodology may thus help with the evaluation of new electrode designs and configurations, providing empirical guidance on the kinds of electrodes that will be optimal for different brain regions, cell types, and species, for improving the accuracy of spike sorting. NEW & NOTEWORTHY We present an automated strategy for evaluating the spike recording performance of an extracellular multielectrode array, by enabling simultaneous recording of a neuron with both such an array and with patch clamp. We use our robot and accompanying algorithms to evaluate the performance of multielectrode arrays on supporting spike sorting. |
| first_indexed | 2024-09-23T16:52:38Z |
| format | Article |
| id | mit-1721.1/133332 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T16:52:38Z |
| publishDate | 2021 |
| publisher | American Physiological Society |
| record_format | dspace |
| spelling | mit-1721.1/1333322023-01-27T20:59:33Z Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability Allen, Brian D Moore-Kochlacs, Caroline Bernstein, Jacob G Kinney, Justin P Scholvin, Jorg Seoane, Luís F Chronopoulos, Chris Lamantia, Charlie Kodandaramaiah, Suhasa B Tegmark, Max Boyden, Edward S Massachusetts Institute of Technology. Media Laboratory McGovern Institute for Brain Research at MIT Massachusetts Institute of Technology. Department of Biological Engineering Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences MIT Kavli Institute for Astrophysics and Space Research Massachusetts Institute of Technology. Department of Physics © 2018 American Physiological Society. All rights reserved. Much innovation is currently aimed at improving the number, density, and geometry of electrodes on extracellular multielectrode arrays for in vivo recording of neural activity in the mammalian brain. To choose a multielectrode array configuration for a given neuroscience purpose, or to reveal design principles of future multielectrode arrays, it would be useful to have a systematic way of evaluating the spike recording capability of such arrays. We describe an automated system that performs robotic patch-clamp recording of a neuron being simultaneously recorded via an extracellular multielectrode array. By recording a patch-clamp data set from a neuron while acquiring extracellular recordings from the same neuron, we can evaluate how well the extracellular multielectrode array captures the spiking information from that neuron. To demonstrate the utility of our system, we show that it can provide data from the mammalian cortex to evaluate how the spike sorting performance of a close-packed extracellular multielectrode array is affected by bursting, which alters the shape and amplitude of spikes in a train. We also introduce an algorithmic framework to help evaluate how the number of electrodes in a multielectrode array affects spike sorting, examining how adding more electrodes yields data that can be spike sorted more easily. Our automated methodology may thus help with the evaluation of new electrode designs and configurations, providing empirical guidance on the kinds of electrodes that will be optimal for different brain regions, cell types, and species, for improving the accuracy of spike sorting. NEW & NOTEWORTHY We present an automated strategy for evaluating the spike recording performance of an extracellular multielectrode array, by enabling simultaneous recording of a neuron with both such an array and with patch clamp. We use our robot and accompanying algorithms to evaluate the performance of multielectrode arrays on supporting spike sorting. 2021-10-27T19:52:10Z 2021-10-27T19:52:10Z 2018 2019-06-11T12:37:22Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/133332 en 10.1152/JN.00650.2017 Journal of Neurophysiology Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf American Physiological Society Other repository |
| spellingShingle | Allen, Brian D Moore-Kochlacs, Caroline Bernstein, Jacob G Kinney, Justin P Scholvin, Jorg Seoane, Luís F Chronopoulos, Chris Lamantia, Charlie Kodandaramaiah, Suhasa B Tegmark, Max Boyden, Edward S Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability |
| title | Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability |
| title_full | Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability |
| title_fullStr | Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability |
| title_full_unstemmed | Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability |
| title_short | Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability |
| title_sort | automated in vivo patch clamp evaluation of extracellular multielectrode array spike recording capability |
| url | https://hdl.handle.net/1721.1/133332 |
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