Back

A Thin Film Transistor Backplane for Scalable Chronic Neural Interfaces

Bourhis, A. M.; Vatsyayan, R.; Tonsfeldt, K. J.; Galton, I.; Dayeh, S. A.

2026-06-24 bioengineering
10.64898/2026.06.23.733868 bioRxiv
Show abstract

Scaling neural interfaces to ever-higher channel counts has accelerated rapidly with advances in thin-film fabrication, lithography, and connectorization, enabling passive arrays to reach thousands of channels and chart credible pathways to much larger formats. Integrating active electronics directly at the sensing sites offers a complementary route to higher channel density by reducing the number of interconnects required to access large arrays. Here we introduce a monolithic flexible thin-film integrated circuit platform for active neural sensing, inspired by active-matrix display technology. The system integrates dual-gate amorphous indium gallium zinc oxide transistors on polyimide substrates to implement in-pixel transconductance amplification and row-column time-division multiplexing, improving scability for high-channel-count applications. Co-optimization of device architecture, contact engineering, and a hybrid ceramic-polymer thin-film encapsulation yields stable operation with projected lifetimes exceeding 38 years under accelerated aging. In acute and chronic in vivo rat studies, the platform exhibits negligible thermal burden, robust sensory-evoked recordings, and stable functionality over 30 days despite tissue encapsulation. These results establish display-inspired flexible thin-film electronics as a scalable building block for next-generation neural interfaces.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Advanced Materials
56 papers in training set
Top 0.1%
13.0%
2
Advanced Science
286 papers in training set
Top 0.2%
12.0%
3
Advanced Functional Materials
46 papers in training set
Top 0.1%
7.9%
4
Advanced Healthcare Materials
85 papers in training set
Top 0.3%
6.8%
5
Nature Communications
5641 papers in training set
Top 23%
6.8%
6
Science Advances
1243 papers in training set
Top 3%
6.3%
50% of probability mass above
7
ACS Nano
113 papers in training set
Top 0.4%
5.6%
8
Nano Letters
71 papers in training set
Top 0.3%
4.1%
9
Nature Materials
28 papers in training set
Top 0.1%
3.5%
10
Journal of Neural Engineering
221 papers in training set
Top 1%
1.7%
11
Communications Biology
993 papers in training set
Top 14%
1.7%
12
Small
78 papers in training set
Top 0.9%
1.7%
13
Nature Nanotechnology
32 papers in training set
Top 0.4%
1.5%
14
Lab on a Chip
96 papers in training set
Top 0.7%
1.5%
15
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 32%
1.3%
16
Biomaterials
84 papers in training set
Top 1%
1.1%
17
ACS Sensors
49 papers in training set
Top 0.6%
1.1%
18
Advanced Materials Technologies
29 papers in training set
Top 0.4%
1.1%
19
Nature Biotechnology
172 papers in training set
Top 3%
1.1%
20
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.7%
1.1%
21
Nature Biomedical Engineering
47 papers in training set
Top 1%
1.1%
22
Advanced Intelligent Systems
11 papers in training set
Top 0.2%
1.0%
23
Scientific Reports
3612 papers in training set
Top 72%
0.9%
24
Nature Methods
385 papers in training set
Top 6%
0.9%
25
Nature Chemical Biology
119 papers in training set
Top 3%
0.9%
26
Biosensors and Bioelectronics
57 papers in training set
Top 0.9%
0.6%
27
Journal of the American Chemical Society
217 papers in training set
Top 3%
0.6%
28
Nature Photonics
10 papers in training set
Top 0.1%
0.6%
29
Angewandte Chemie International Edition
93 papers in training set
Top 2%
0.6%