Cargando…

Massively parallel microwire arrays integrated with CMOS chips for neural recording

Multi-channel electrical recordings of neural activity in the brain is an increasingly powerful method revealing new aspects of neural communication, computation, and prosthetics. However, while planar silicon-based CMOS devices in conventional electronics scale rapidly, neural interface devices hav...

Descripción completa

Detalles Bibliográficos
Autores principales: Obaid, Abdulmalik, Hanna, Mina-Elraheb, Wu, Yu-Wei, Kollo, Mihaly, Racz, Romeo, Angle, Matthew R., Müller, Jan, Brackbill, Nora, Wray, William, Franke, Felix, Chichilnisky, E. J., Hierlemann, Andreas, Ding, Jun B., Schaefer, Andreas T., Melosh, Nicholas A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083623/
https://www.ncbi.nlm.nih.gov/pubmed/32219158
http://dx.doi.org/10.1126/sciadv.aay2789
_version_ 1783508561724178432
author Obaid, Abdulmalik
Hanna, Mina-Elraheb
Wu, Yu-Wei
Kollo, Mihaly
Racz, Romeo
Angle, Matthew R.
Müller, Jan
Brackbill, Nora
Wray, William
Franke, Felix
Chichilnisky, E. J.
Hierlemann, Andreas
Ding, Jun B.
Schaefer, Andreas T.
Melosh, Nicholas A.
author_facet Obaid, Abdulmalik
Hanna, Mina-Elraheb
Wu, Yu-Wei
Kollo, Mihaly
Racz, Romeo
Angle, Matthew R.
Müller, Jan
Brackbill, Nora
Wray, William
Franke, Felix
Chichilnisky, E. J.
Hierlemann, Andreas
Ding, Jun B.
Schaefer, Andreas T.
Melosh, Nicholas A.
author_sort Obaid, Abdulmalik
collection PubMed
description Multi-channel electrical recordings of neural activity in the brain is an increasingly powerful method revealing new aspects of neural communication, computation, and prosthetics. However, while planar silicon-based CMOS devices in conventional electronics scale rapidly, neural interface devices have not kept pace. Here, we present a new strategy to interface silicon-based chips with three-dimensional microwire arrays, providing the link between rapidly-developing electronics and high density neural interfaces. The system consists of a bundle of microwires mated to large-scale microelectrode arrays, such as camera chips. This system has excellent recording performance, demonstrated via single unit and local-field potential recordings in isolated retina and in the motor cortex or striatum of awake moving mice. The modular design enables a variety of microwire types and sizes to be integrated with different types of pixel arrays, connecting the rapid progress of commercial multiplexing, digitisation and data acquisition hardware together with a three-dimensional neural interface.
format Online
Article
Text
id pubmed-7083623
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher American Association for the Advancement of Science
record_format MEDLINE/PubMed
spelling pubmed-70836232020-03-26 Massively parallel microwire arrays integrated with CMOS chips for neural recording Obaid, Abdulmalik Hanna, Mina-Elraheb Wu, Yu-Wei Kollo, Mihaly Racz, Romeo Angle, Matthew R. Müller, Jan Brackbill, Nora Wray, William Franke, Felix Chichilnisky, E. J. Hierlemann, Andreas Ding, Jun B. Schaefer, Andreas T. Melosh, Nicholas A. Sci Adv Research Articles Multi-channel electrical recordings of neural activity in the brain is an increasingly powerful method revealing new aspects of neural communication, computation, and prosthetics. However, while planar silicon-based CMOS devices in conventional electronics scale rapidly, neural interface devices have not kept pace. Here, we present a new strategy to interface silicon-based chips with three-dimensional microwire arrays, providing the link between rapidly-developing electronics and high density neural interfaces. The system consists of a bundle of microwires mated to large-scale microelectrode arrays, such as camera chips. This system has excellent recording performance, demonstrated via single unit and local-field potential recordings in isolated retina and in the motor cortex or striatum of awake moving mice. The modular design enables a variety of microwire types and sizes to be integrated with different types of pixel arrays, connecting the rapid progress of commercial multiplexing, digitisation and data acquisition hardware together with a three-dimensional neural interface. American Association for the Advancement of Science 2020-03-20 /pmc/articles/PMC7083623/ /pubmed/32219158 http://dx.doi.org/10.1126/sciadv.aay2789 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Obaid, Abdulmalik
Hanna, Mina-Elraheb
Wu, Yu-Wei
Kollo, Mihaly
Racz, Romeo
Angle, Matthew R.
Müller, Jan
Brackbill, Nora
Wray, William
Franke, Felix
Chichilnisky, E. J.
Hierlemann, Andreas
Ding, Jun B.
Schaefer, Andreas T.
Melosh, Nicholas A.
Massively parallel microwire arrays integrated with CMOS chips for neural recording
title Massively parallel microwire arrays integrated with CMOS chips for neural recording
title_full Massively parallel microwire arrays integrated with CMOS chips for neural recording
title_fullStr Massively parallel microwire arrays integrated with CMOS chips for neural recording
title_full_unstemmed Massively parallel microwire arrays integrated with CMOS chips for neural recording
title_short Massively parallel microwire arrays integrated with CMOS chips for neural recording
title_sort massively parallel microwire arrays integrated with cmos chips for neural recording
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083623/
https://www.ncbi.nlm.nih.gov/pubmed/32219158
http://dx.doi.org/10.1126/sciadv.aay2789
work_keys_str_mv AT obaidabdulmalik massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT hannaminaelraheb massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT wuyuwei massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT kollomihaly massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT raczromeo massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT anglematthewr massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT mullerjan massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT brackbillnora massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT wraywilliam massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT frankefelix massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT chichilniskyej massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT hierlemannandreas massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT dingjunb massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT schaeferandreast massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording
AT meloshnicholasa massivelyparallelmicrowirearraysintegratedwithcmoschipsforneuralrecording