Content area

Abstract

Neural recording electrode technologies have contributed considerably to neuroscience by enabling the extracellular detection of low-frequency local field potential oscillations and high-frequency action potentials of single units. Nevertheless, several long-standing limitations exist, including low multiplexity, deleterious chronic immune responses and long-term recording instability. Driven by initiatives encouraging the generation of novel neurotechnologies and the maturation of technologies to fabricate high-density electronics, novel electrode technologies are emerging. Here, we provide an overview of recently developed neural recording electrode technologies with high spatial integration, long-term stability and multiple functionalities. We describe how these emergent neurotechnologies can approach the ultimate goal of illuminating chronic brain activity with minimal disruption of the neural environment, thereby providing unprecedented opportunities for neuroscience research in the future.

Here, Hong and Lieber review recent developments in electrode technologies for the recording of single-unit spiking activity. They focus on advances in electrodes with high spatial integration, long-term stability and multifunctional capacities.

Details

Title
Novel electrode technologies for neural recordings
Author
Hong Guosong 1 ; Lieber, Charles M 2   VIAFID ORCID Logo 

 Harvard University, Department of Chemistry and Chemical Biology, Cambridge, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Stanford University, Department of Materials Science and Engineering, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956); Stanford University, Wu Tsai Neurosciences Institute, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956) 
 Harvard University, Department of Chemistry and Chemical Biology, Cambridge, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Harvard University, Center for Brain Science, Cambridge, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Harvard University, John A. Paulson School of Engineering and Applied Sciences, Cambridge, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
Pages
330-345
Publication year
2019
Publication date
Jun 2019
Publisher
Nature Publishing Group
ISSN
1471003X
e-ISSN
14710048
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2228647867
Copyright
2019© Springer Nature Limited 2019