Microchannel neural interface manufacture by stacking silicone and metal foil laminae
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OBJECTIVE: Microchannel neural interfaces (MNIs) overcome problems with recording from peripheral nerves by amplifying signals independent of node of Ranvier position. Selective recording and stimulation using an MNI requires good insulation between microchannels and a high electrode density. We propose that stacking microchannel laminae will improve selectivity over single layer MNI designs due to the increase in electrode number and an improvement in microchannel sealing. APPROACH: This paper describes a manufacturing method for creating MNIs which overcomes limitations on electrode connectivity and microchannel sealing. Laser cut silicone-metal foil laminae were stacked using plasma bonding to create an array of microchannels containing tripolar electrodes. Electrodes were DC etched and electrode impedance and cyclic voltammetry were tested. MAIN RESULTS: MNIs with 100 μm and 200 μm diameter microchannels were manufactured. High electrode density MNIs are achievable with electrodes present in every microchannel. Electrode impedances of 27.2 ± 19.8 kΩ at 1 kHz were achieved. Following two months of implantation in Lewis rat sciatic nerve, micro-fascicles were observed regenerating through the MNI microchannels. SIGNIFICANCE: Selective MNIs with the peripheral nervous system may allow upper limb amputees to control prostheses intuitively.
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Originally made from polyimide, more recent microchannel designs are built from stretchable and softer materials such as PDMS.
“While originally made from polyimide (FitzGerald et al., 2012), more recent microchannel designs are built from stretchable and softer materials such as PDMS (Musick et al., 2015; Lancashire et al., 2016).”
From Foreign Body Reaction to Implanted Biomaterials and Its Impact in Nerve Neuroprosthetics (2021) · cites this paper as Lancashire et al., 2016
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- Authors
- Lancashire, H. T., Vanhoestenberghe, A., Pendegrass, C. J., Ajam, Y. A., Magee, E., Donaldson, N., & Blunn, G. W.
- Affiliations
- University College London (GB)
- Corresponding author
- Lancashire, Henry T
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2016-03-22
- Volume
- 13
- Issue
- 3
- Pages
- 034001
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- OpenAlex
- W2332787502
- Cited by
- 13
- References
- 34
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 2 · 2021: 4 · 2019: 2 · 2018: 3
- FWCI
- 0.93
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neural Engineering (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/G036675/1)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- peripheral nerve recording, plasma bonding, electrode impedance, sciatic nerve, nerve regeneration, prosthetic control, upper limb amputation
- MeSH terms
- Animals, Electrodes, Electrodes, Implanted, Interferometry, Male, Metals, Neurons, Peripheral Nerves, Prosthesis Design, Rats, Inbred Lew, Silicones, Electric Impedance, Equipment Failure Analysis, Rats, Brain-Computer Interfaces
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