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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
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