Monolithic 3D Nanoelectrode Arrays on CMOS Circuitry for Scalable, High‐Resolution Neural Recording
Source abstract
Abstract
ABSTRACT Understanding brain function and neurodegenerative disorders, and accelerating preclinical drug development, demand neural interfaces that combine nanoscale sensitivity with high‐resolution, large‐scale recording capability. Here, we present a monolithically integrated high‐density nanoelectrode array (HD‐NEA) featuring vertical high‐aspect ratio nanowire electrodes embedded within the back‐end‐of‐line of commercial CMOS circuitry. Using a low‐temperature (<400 °C), wafer‐scale post‐fabrication strategy, we decouple nanostructure formation from circuit integration while preserving CMOS functionality. The resulting 3D array, comprising 26,400 electrodes, achieves high yield and uniformity across 4‐in. wafers. When interfaced with in vitro cortical neurons, the HD‐NEA yields significantly higher spike amplitudes and signal‐to‐noise ratios than planar microelectrodes, without requiring electroporation. High‐resolution spike mapping revealed steeper spatial signal decay, consistent with closer neuron‐nanowires coupling, and enabled the detection of distinct waveform morphologies including putative dendritic signals. These results position HD‐NEA as a scalable and CMOS‐compatible nanobiointerface, enabling high‐fidelity neural recording for neuroscience research, brain–machine interfacing, and bioelectronic diagnostics.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Neuroscience and Neural Engineering · Electrochemical Analysis and Applications · Advanced Memory and Neural Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
LAAS‐CNRS Université De Toulouse CNRS Toulouse France
Funding
European Commission
References (32)
Show source-provided references
1. 10.1016/j.mtchem.2022.10115310.1016/j.mtchem.2022.101153 ↗
2. Revealing Neuronal Function through Microelectrode Array Recordings
3. 10.1039/b907394a10.1039/b907394a ↗
4. 10.1002/advs.20220773210.1002/advs.202207732 ↗
5. 10.3389/fnins.2019.0038510.3389/fnins.2019.00385 ↗
6. 10.1002/adfm.20170126910.1002/adfm.201701269 ↗
7. 10.1038/nnano.2012.26510.1038/nnano.2012.265 ↗
8. 10.1007/s40820‐021‐00655‐x10.1007/s40820‐021‐00655‐x ↗
9. 10.1146/annurev‐anchem‐061417‐12570510.1146/annurev‐anchem‐061417‐125705 ↗
10. 10.1063/5.005266610.1063/5.0052666 ↗
11. 10.1038/nnano.2012.810.1038/nnano.2012.8 ↗
12. 10.1021/acs.nanolett.7b0152310.1021/acs.nanolett.7b01523 ↗
13. 10.1002/adfm.20210837810.1002/adfm.202108378 ↗
14. 10.1088/1361‐648X/aae5aa10.1088/1361‐648X/aae5aa ↗
15. 10.3389/fnins.2018.0021210.3389/fnins.2018.00212 ↗
16. 10.1021/acs.nanolett.6b0475210.1021/acs.nanolett.6b04752 ↗
17. 10.1002/smll.20220005310.1002/smll.202200053 ↗
18. 10.1038/nnano.2017.310.1038/nnano.2017.3 ↗
19. 10.1039/D0LC00553C10.1039/D0LC00553C ↗
20. 10.1038/s41551‐019‐0455‐710.1038/s41551‐019‐0455‐7 ↗
21. 10.1038/s41551‐025‐01352‐510.1038/s41551‐025‐01352‐5 ↗
22. 10.1016/j.prime.2022.10005210.1016/j.prime.2022.100052 ↗
23. 10.3390/electronics1119301310.3390/electronics11193013 ↗
24. 10.1039/C5LC00133A10.1039/C5LC00133A ↗
25. 10.1002/smll.20230905510.1002/smll.202309055 ↗
26. 10.1002/adma.20230247210.1002/adma.202302472 ↗
27. 10.1007/s10854‐021‐05405‐810.1007/s10854‐021‐05405‐8 ↗
28. 10.1038/srep0548910.1038/srep05489 ↗
29. 10.1002/adbi.20180030810.1002/adbi.201800308 ↗
30. 10.1038/nn.415710.1038/nn.4157 ↗
31. 10.1152/jn.00979.200510.1152/jn.00979.2005 ↗
32. 10.1016/j.isci.2021.10362110.1016/j.isci.2021.103621 ↗