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A CMOS-based highly scalable flexible neural electrode interface
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sciadv.adf9524.pdf
Date
2023-06-07
Author
Zhao, Eric T.
Hull, Jacob M.
Hemed, Nofar Mintz
Uluşan, Hasan
Bartram, Julian
Zhang, Anqi
Wang, Pingyu
Pham, Albert
Ronchi, Silvia
Huguenard, John R.
Hierlemann, Andreas
Melosh, Nicholas A.
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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.
URI
https://hdl.handle.net/11511/111087
Journal
SCIENCE ADVANCES
DOI
https://doi.org/10.1126/sciadv.adf9524
Collections
Department of Electrical and Electronics Engineering, Article
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BibTeX
E. T. Zhao et al., “A CMOS-based highly scalable flexible neural electrode interface,”
SCIENCE ADVANCES
, vol. 9, no. 23, pp. 0–0, 2023, Accessed: 00, 2024. [Online]. Available: https://hdl.handle.net/11511/111087.