Cargando…
A CMOS-based highly scalable flexible neural electrode interface
Perception, thoughts, and actions are encoded by the coordinated activity of large neuronal populations spread over large areas. However, existing electrophysiological devices are limited by their scalability in capturing this cortex-wide activity. Here, we developed an electrode connector based on...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246892/ https://www.ncbi.nlm.nih.gov/pubmed/37285436 http://dx.doi.org/10.1126/sciadv.adf9524 |
_version_ | 1785055125482504192 |
---|---|
author | Zhao, Eric T. Hull, Jacob M. Mintz Hemed, Nofar Uluşan, Hasan Bartram, Julian Zhang, Anqi Wang, Pingyu Pham, Albert Ronchi, Silvia Huguenard, John R. Hierlemann, Andreas Melosh, Nicholas A. |
author_facet | Zhao, Eric T. Hull, Jacob M. Mintz Hemed, Nofar Uluşan, Hasan Bartram, Julian Zhang, Anqi Wang, Pingyu Pham, Albert Ronchi, Silvia Huguenard, John R. Hierlemann, Andreas Melosh, Nicholas A. |
author_sort | Zhao, Eric T. |
collection | PubMed |
description | Perception, thoughts, and actions are encoded by the coordinated activity of large neuronal populations spread over large areas. However, existing electrophysiological devices are limited by their scalability in capturing this cortex-wide activity. Here, we developed an electrode connector based on an ultra-conformable thin-film electrode array that self-assembles onto silicon microelectrode arrays enabling multithousand channel counts at a millimeter scale. The interconnects are formed using microfabricated electrode pads suspended by thin support arms, termed Flex2Chip. Capillary-assisted assembly drives the pads to deform toward the chip surface, and van der Waals forces maintain this deformation, establishing Ohmic contact. Flex2Chip arrays successfully measured extracellular action potentials ex vivo and resolved micrometer scale seizure propagation trajectories in epileptic mice. We find that seizure dynamics in absence epilepsy in the Scn8a(+/−) model do not have constant propagation trajectories. |
format | Online Article Text |
id | pubmed-10246892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-102468922023-06-08 A CMOS-based highly scalable flexible neural electrode interface Zhao, Eric T. Hull, Jacob M. Mintz Hemed, Nofar Uluşan, Hasan Bartram, Julian Zhang, Anqi Wang, Pingyu Pham, Albert Ronchi, Silvia Huguenard, John R. Hierlemann, Andreas Melosh, Nicholas A. Sci Adv Physical and Materials Sciences Perception, thoughts, and actions are encoded by the coordinated activity of large neuronal populations spread over large areas. However, existing electrophysiological devices are limited by their scalability in capturing this cortex-wide activity. Here, we developed an electrode connector based on an ultra-conformable thin-film electrode array that self-assembles onto silicon microelectrode arrays enabling multithousand channel counts at a millimeter scale. The interconnects are formed using microfabricated electrode pads suspended by thin support arms, termed Flex2Chip. Capillary-assisted assembly drives the pads to deform toward the chip surface, and van der Waals forces maintain this deformation, establishing Ohmic contact. Flex2Chip arrays successfully measured extracellular action potentials ex vivo and resolved micrometer scale seizure propagation trajectories in epileptic mice. We find that seizure dynamics in absence epilepsy in the Scn8a(+/−) model do not have constant propagation trajectories. American Association for the Advancement of Science 2023-06-07 /pmc/articles/PMC10246892/ /pubmed/37285436 http://dx.doi.org/10.1126/sciadv.adf9524 Text en Copyright © 2023 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). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://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 | Physical and Materials Sciences Zhao, Eric T. Hull, Jacob M. Mintz Hemed, Nofar Uluşan, Hasan Bartram, Julian Zhang, Anqi Wang, Pingyu Pham, Albert Ronchi, Silvia Huguenard, John R. Hierlemann, Andreas Melosh, Nicholas A. A CMOS-based highly scalable flexible neural electrode interface |
title | A CMOS-based highly scalable flexible neural electrode interface |
title_full | A CMOS-based highly scalable flexible neural electrode interface |
title_fullStr | A CMOS-based highly scalable flexible neural electrode interface |
title_full_unstemmed | A CMOS-based highly scalable flexible neural electrode interface |
title_short | A CMOS-based highly scalable flexible neural electrode interface |
title_sort | cmos-based highly scalable flexible neural electrode interface |
topic | Physical and Materials Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246892/ https://www.ncbi.nlm.nih.gov/pubmed/37285436 http://dx.doi.org/10.1126/sciadv.adf9524 |
work_keys_str_mv | AT zhaoerict acmosbasedhighlyscalableflexibleneuralelectrodeinterface AT hulljacobm acmosbasedhighlyscalableflexibleneuralelectrodeinterface AT mintzhemednofar acmosbasedhighlyscalableflexibleneuralelectrodeinterface AT ulusanhasan acmosbasedhighlyscalableflexibleneuralelectrodeinterface AT bartramjulian acmosbasedhighlyscalableflexibleneuralelectrodeinterface AT zhanganqi acmosbasedhighlyscalableflexibleneuralelectrodeinterface AT wangpingyu acmosbasedhighlyscalableflexibleneuralelectrodeinterface AT phamalbert acmosbasedhighlyscalableflexibleneuralelectrodeinterface AT ronchisilvia acmosbasedhighlyscalableflexibleneuralelectrodeinterface AT huguenardjohnr acmosbasedhighlyscalableflexibleneuralelectrodeinterface AT hierlemannandreas acmosbasedhighlyscalableflexibleneuralelectrodeinterface AT meloshnicholasa acmosbasedhighlyscalableflexibleneuralelectrodeinterface AT zhaoerict cmosbasedhighlyscalableflexibleneuralelectrodeinterface AT hulljacobm cmosbasedhighlyscalableflexibleneuralelectrodeinterface AT mintzhemednofar cmosbasedhighlyscalableflexibleneuralelectrodeinterface AT ulusanhasan cmosbasedhighlyscalableflexibleneuralelectrodeinterface AT bartramjulian cmosbasedhighlyscalableflexibleneuralelectrodeinterface AT zhanganqi cmosbasedhighlyscalableflexibleneuralelectrodeinterface AT wangpingyu cmosbasedhighlyscalableflexibleneuralelectrodeinterface AT phamalbert cmosbasedhighlyscalableflexibleneuralelectrodeinterface AT ronchisilvia cmosbasedhighlyscalableflexibleneuralelectrodeinterface AT huguenardjohnr cmosbasedhighlyscalableflexibleneuralelectrodeinterface AT hierlemannandreas cmosbasedhighlyscalableflexibleneuralelectrodeinterface AT meloshnicholasa cmosbasedhighlyscalableflexibleneuralelectrodeinterface |