ArticleSmall methods2025
Long-Term Stable Neural Interfaces with Nanoporous Graphene Electrodes and Hybrid Polyimide-Aluminium Oxide Encapsulation.
Article in Small methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Toward High-Resolution Polymeric Neural Interfaces: A Practical Guide for Electron Beam Lithography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Long-Term Stable Neural Interfaces with Nanoporous Graphene Electrodes and Hybrid Polyimide-Aluminium Oxide Encapsulation.Small methods · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Graphene-based thin film technology holds great promise for next-generation neural interfaces due to graphene´s electrical, electrochemical, and mechanical properties. However, the long-term reliability of this technology remains a challenge, primarily due to the instability of thin-film encapsulation in physiological environments. While standard ceramic encapsulation is robust, it is not compatible with the miniaturization required for minimally invasive implants. This study demonstrates the successful integration of a hybrid encapsulation strategy, combining polyimide with atomic layer deposited (ALD) Al
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Registered trials
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