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Printed Stretchable Liquid Metal Electrode Arrays for In Vivo Neural Recording
- Source :
- Small. 17:2006612
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- The adoption of neural interfacing into neurological diagnosis is severely hampered by the complex, costly, and error-prone manufacturing methods, requiring new fabrication processes and materials for flexible neural interfacing. Here a strategy for fabricating highly stretchable neural electrode arrays based on screen printing of liquid metal conductors onto polydimethylsiloxane substrates is presented. The screen-printed electrode arrays show a resolution of 50 µm, which is ideally applicable to neural interfaces. The integration of liquid metal-polymer conductor enables the neural electrode arrays to retain stable electrical properties and compliant mechanical performance under a significant (≈108%) strain. Taking advantage of its high biocompatibility, liquid metal electrode arrays exhibit excellent performance for neurite growth and long-term implantation. The stretchable electrode arrays can spontaneously conformally come in touch with the brain surface, and high-throughput electrocorticogram signals are recorded. Based on stretchable electrode arrays, real-time monitoring of epileptiform activities can be provided at different states of seizure. The method reported here offers a new fabrication strategy to manufacture stretchable neural electrodes, with additional potential utility in diagnostic brain-machine interfaces.
- Subjects :
- Liquid metal
Fabrication
Materials science
Polymers
02 engineering and technology
010402 general chemistry
01 natural sciences
Biomaterials
chemistry.chemical_compound
General Materials Science
Electrodes
Electrical conductor
Polydimethylsiloxane
business.industry
Brain
General Chemistry
021001 nanoscience & nanotechnology
Flexible electronics
0104 chemical sciences
chemistry
Metals
Interfacing
Screen printing
Electrode
Optoelectronics
0210 nano-technology
business
Biotechnology
Subjects
Details
- ISSN :
- 16136829 and 16136810
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Small
- Accession number :
- edsair.doi.dedup.....5ee4bc0138026207c12e3b9ddfa2e481