Silicon-substrate microelectrode arrays for parallel recording of neural activity in peripheral and cranial nerves

1994 ◽  
Vol 41 (6) ◽  
pp. 567-577 ◽  
Author(s):  
G.T.A. Kovacs ◽  
C.W. Storment ◽  
M. Halks-Miller ◽  
C.R. Belczynski ◽  
C.C.D. Santina ◽  
...  
2004 ◽  
Vol 51 (6) ◽  
pp. 896-904 ◽  
Author(s):  
R.J. Vetter ◽  
J.C. Williams ◽  
J.F. Hetke ◽  
E.A. Nunamaker ◽  
D.R. Kipke

2009 ◽  
Vol 610-613 ◽  
pp. 1022-1025
Author(s):  
Yi Zhao ◽  
Xiao Ying Lv ◽  
Zheng Lin Jiang ◽  
Xia Li ◽  
Yan Huang ◽  
...  

Silicon microelectrode arrays (Si MEAs) have great potential in recording of neural activity; the biocompatibility of silicon nitride has gained much attention as a part of Si MEAs. In this study, we used alternating polycations, polyethyleneimine (PEI), and polyanions, gelatin, to fabricate multilayer films built up by LbL deposition on silicon nitride wafers. Then the samples surfaces were characterized by contact angle system and atomic force microscopy (AFM). The amount of proteins adsorbed on silicon nitride and modified silicon nitride were measured by a modified Coomassie brilliant blue (CBB) protein assay. Cell culture results showed that the modified silicon nitride could increase the adhesion ability of the hippocampal neurons.


2019 ◽  
Vol 66 (11) ◽  
pp. 3080-3087 ◽  
Author(s):  
Fei Gao ◽  
Xinxia Cai ◽  
Guihua Xiao ◽  
Yilin Song ◽  
Mixia Wang ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Austin P. Passaro ◽  
Onur Aydin ◽  
M. Taher A. Saif ◽  
Steven L. Stice

AbstractMicroelectrode arrays (MEAs) are valuable tools for electrophysiological analysis, providing assessment of neural network health and development. Analysis can be complex, however, requiring intensive processing of large data sets consisting of many activity parameters, leading to information loss as studies subjectively report relatively few metrics in the interest of simplicity. In screening assays, many groups report simple overall activity (i.e. firing rate) but omit network connectivity changes (e.g. burst characteristics and synchrony) that may not be evident from basic parameters. Our goal was to develop an objective process to capture most of the valuable information gained from MEAs in neural development and toxicity studies. We implemented principal component analysis (PCA) to reduce the high dimensionality of MEA data. Upon analysis, we found the first principal component was strongly correlated to time, representing neural culture development; therefore, factor loadings were used to create a single index score—named neural activity score (NAS)—reflecting neural maturation. For validation, we applied NAS to studies analyzing various treatments. In all cases, NAS accurately recapitulated expected results, suggesting viability of NAS to measure network health and development. This approach may be adopted by other researchers using MEAs to analyze complicated treatment effects and multicellular interactions.


2020 ◽  
Author(s):  
Austin P. Passaro ◽  
Onur Aydin ◽  
M. Taher A. Saif ◽  
Steven L. Stice

AbstractMicroelectrode arrays (MEAs) are valuable tools for electrophysiological analysis at a cellular population level, providing assessment of neural network health and development. Analysis can be complex, however, requiring intensive processing of large high-dimensional data sets consisting of many activity parameters. As a result, valuable information is lost, as studies subjectively report relatively few metrics in the interest of simplicity and clarity.From a screening perspective, many groups report simple overall activity; we are more interested in culture health and changes in network connectivity that may not be evident from basic activity parameters. For example, general changes in overall firing rate – the most commonly reported parameter – provide no information on network development or burst character, which could change independently. Our goal was to develop a fast objective process to capture most, if not all, the valuable information gained when using MEAs in neural development and toxicity studies.We implemented principal component analysis (PCA) to reduce the high dimensionality of MEA data. Upon analysis, we found that the first principal component was strongly correlated to time, representing neural culture development; therefore, factor loadings were used to create a single index score – named neural activity score (NAS) – reflective of neural maturation. To validate this score, we applied it to studies analyzing various treatments. In all cases, NAS accurately recapitulated expected results, suggesting this method is viable. This approach may be improved with larger training data sets and can be shared with other researchers using MEAs to analyze complicated treatment effects and multicellular interactions.Author SummaryAnalyzing neural activity has important applications such as basic neuroscience research, understanding neurological diseases, drug development, and toxicity screening. Technology for recording neural activity continues to develop, producing large data sets that provide complex information about neuronal function. One specific technology, microelectrode arrays (MEAs), has recently given researchers the ability to record developing neural networks with potential to provide valuable insight into developmental processes and pathological conditions. However, the complex data generated by these systems can be challenging to analyze objectively and quantitatively, hindering the potential of MEAs, especially for high-throughput approaches, such as drug development and toxicity screening, which require quick, simple, and accurate quantification. Therefore, we have developed an index for simple quantification and evaluation of neural network maturation and the effects of perturbation. We present validation of our approach using several treatments and culture conditions, as well as a meta-analysis of toxicological screening data to compare our approach to current methods. In addition to providing a simple quantification method for neural network activity in various conditions, our method provides potential for improved results interpretation in toxicity screening and drug development.


2019 ◽  
Vol 146 (4) ◽  
pp. 3030-3030
Author(s):  
Ivan M. Suarez Castellanos ◽  
Apoutou N'Djin ◽  
Jérémy Vion-Bailly ◽  
Elena Dossi ◽  
Alexandre Carpentier ◽  
...  

MRS Advances ◽  
2018 ◽  
Vol 3 (29) ◽  
pp. 1629-1634 ◽  
Author(s):  
Elisa Castagnola ◽  
Nasim Winchester Vahidi ◽  
Surabhi Nimbalkar ◽  
Srihita Rudraraju ◽  
Marvin Thielk ◽  
...  

ABSTRACTIn this study, we present a 4-channel intracortical glassy carbon (GC) microelectrode array on a flexible substrate for the simultaneous in vivo neural activity recording and dopamine (DA) concentration measurement at four different brain locations (220µm vertical spacing). The ability of GC microelectrodes to detect DA was firstly assessed in vitro in phosphate-buffered saline solution and then validated in vivo measuring spontaneous DA concentration in the Striatum of European Starling songbird through fast scan cyclic voltammetry(FSCV). The capability of GC microelectrode arrays and commercial penetrating metal microelectrode arrays to record neural activity from the Caudomedial Neostriatum of European starling songbird was compared. Preliminary results demonstrated the ability of GC microelectrodes in detecting neurotransmitters release and recording neural activity in vivo. GC microelectrodes array may, therefore, offer a new opportunity to understand the intimate relations linking electrophysiological parameters with neurotransmitters release.


Nano Letters ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 8032-8039 ◽  
Author(s):  
Lei Gao ◽  
Jinfen Wang ◽  
Shouliang Guan ◽  
Mingde Du ◽  
Kun Wu ◽  
...  

2000 ◽  
Vol 83 (1) ◽  
pp. 611-615 ◽  
Author(s):  
Allen F. Mensinger ◽  
David J. Anderson ◽  
Christopher J. Buchko ◽  
Michael A. Johnson ◽  
David C. Martin ◽  
...  

A micromachined silicon substrate sieve electrode was implanted within transected toadfish ( Opsanus tau) otolith nerves. High fidelity, single unit neural activity was recorded from seven alert and unrestrained fish 30 to 60 days after implantation. Fibrous coatings of genetically engineered bioactive protein polymers and nerve guide tubes increased the number of axons regenerating through the electrode pores when compared with controls. Sieve electrodes have potential as permanent interfaces to the nervous system and to bridge missing connections between severed or damaged nerves and muscles. Recorded impulses might also be amplified and used to control prosthetic devices.


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