Multimaterial and multifunctional neural interfaces: from surface-type and implantable electrodes to fiber-based devices

2020 ◽  
Vol 8 (31) ◽  
pp. 6624-6666 ◽  
Author(s):  
Changhoon Sung ◽  
Woojin Jeon ◽  
Kum Seok Nam ◽  
Yeji Kim ◽  
Haider Butt ◽  
...  

Development of neural interfaces from surface electrodes to fibers with various type, functionality, and materials.

2007 ◽  
Author(s):  
Daryl R. Kipke ◽  
Jeffrey Carrier ◽  
David J. Anderson
Keyword(s):  

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Eugenio Redolfi Riva ◽  
Silvestro Micera

AbstractNeural interfaces are bioelectronic devices capable of stimulating a population of neurons or nerve fascicles and recording electrical signals in a specific area. Despite their success in restoring sensory-motor functions in people with disabilities, their long-term exploitation is still limited by poor biocompatibility, mechanical mismatch between the device and neural tissue and the risk of a chronic inflammatory response upon implantation.In this context, the use of nature-derived materials can help address these issues. Examples of these materials, such as extracellular matrix proteins, peptides, lipids and polysaccharides, have been employed for decades in biomedical science. Their excellent biocompatibility, biodegradability in the absence of toxic compound release, physiochemical properties that are similar to those of human tissues and reduced immunogenicity make them outstanding candidates to improve neural interface biocompatibility and long-term implantation safety. The objective of this review is to highlight progress and challenges concerning the impact of nature-derived materials on neural interface design. The use of these materials as biocompatible coatings and as building blocks of insulation materials for use in implantable neural interfaces is discussed. Moreover, future perspectives are presented to show the increasingly important uses of these materials for neural interface fabrication and their possible use for other applications in the framework of neural engineering.


2018 ◽  
Vol 34 (7) ◽  
pp. 837-840 ◽  
Author(s):  
Kouichi NAKAGAWA ◽  
Satoko MINAKAWA ◽  
Daisuke SAWAMURA

2021 ◽  
pp. 2001182
Author(s):  
Fabian Meder ◽  
Sirgi Saar ◽  
Silvia Taccola ◽  
Carlo Filippeschi ◽  
Virgilio Mattoli ◽  
...  

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