Recording of Neural Activity With Modulation of Photolysis of Caged Compounds Using Microelectrode Arrays in Rats With Seizures

2019 ◽  
Vol 66 (11) ◽  
pp. 3080-3087 ◽  
Author(s):  
Fei Gao ◽  
Xinxia Cai ◽  
Guihua Xiao ◽  
Yilin Song ◽  
Mixia Wang ◽  
...  
Keyword(s):  
Neural Activity ◽  
Microelectrode Arrays ◽  
Caged Compounds

Silicon Nitride Surface Modification and Cell Adhesion

2009 ◽  
Vol 610-613 ◽  
pp. 1022-1025
Author(s):  
Yi Zhao ◽  
Xiao Ying Lv ◽  
Zheng Lin Jiang ◽  
Xia Li ◽  
Yan Huang ◽  
...  
Keyword(s):  
Silicon Nitride ◽  
Neural Activity ◽  
Hippocampal Neurons ◽  
Microelectrode Arrays ◽  
Coomassie Brilliant Blue ◽  
Protein Assay ◽  
Force Microscopy ◽  
Adhesion Ability ◽  
Atomic Force ◽  
Coomassie Brilliant

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.

scholarly journals Development of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Austin P. Passaro ◽  
Onur Aydin ◽  
M. Taher A. Saif ◽  
Steven L. Stice
Keyword(s):  
Neural Network ◽  
Neural Development ◽  
Neural Activity ◽  
Treatment Effects ◽  
Microelectrode Arrays ◽  
Principal Component ◽  
Large Data ◽  
Activity Score ◽  
Health And Development ◽  
Culture Development

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.

scholarly journals Development of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays

2020 ◽  
Author(s):  
Austin P. Passaro ◽  
Onur Aydin ◽  
M. Taher A. Saif ◽  
Steven L. Stice
Keyword(s):  
Neural Network ◽  
Drug Development ◽  
Neural Activity ◽  
Treatment Effects ◽  
Microelectrode Arrays ◽  
Principal Component ◽  
Activity Score ◽  
Data Sets ◽  
Toxicity Screening ◽  
Culture Development

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.

Microelectrode arrays (MEA) for measuring spatio-temporal neural activity generated by low-energy focused ultrasound (LEFUS) in ex vivo brain slices

2019 ◽  
Vol 146 (4) ◽  
pp. 3030-3030
Author(s):  
Ivan M. Suarez Castellanos ◽  
Apoutou N'Djin ◽  
Jérémy Vion-Bailly ◽  
Elena Dossi ◽  
Alexandre Carpentier ◽  
...  
Keyword(s):  
Neural Activity ◽  
Focused Ultrasound ◽  
Ex Vivo ◽  
Brain Slices ◽  
Microelectrode Arrays ◽  
Low Energy ◽  
Spatio Temporal

scholarly journals In Vivo Dopamine Detection and Single Unit Recordings Using Intracortical Glassy Carbon Microelectrode Arrays

MRS Advances ◽  
2018 ◽  
Vol 3 (29) ◽  
pp. 1629-1634 ◽  
Author(s):  
Elisa Castagnola ◽  
Nasim Winchester Vahidi ◽  
Surabhi Nimbalkar ◽  
Srihita Rudraraju ◽  
Marvin Thielk ◽  
...  
Keyword(s):  
Glassy Carbon ◽  
Neural Activity ◽  
Microelectrode Array ◽  
Flexible Substrate ◽  
Microelectrode Arrays ◽  
European Starling ◽  
Dopamine Detection ◽  
Vertical Spacing

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.

scholarly journals Magnetic Actuation of Flexible Microelectrode Arrays for Neural Activity Recordings

Nano Letters ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 8032-8039 ◽  
Author(s):  
Lei Gao ◽  
Jinfen Wang ◽  
Shouliang Guan ◽  
Mingde Du ◽  
Kun Wu ◽  
...  
Keyword(s):  
Neural Activity ◽  
Microelectrode Arrays ◽  
Magnetic Actuation

scholarly journals Neural and behavioral control in Caenorhabditis elegans by a yellow-light–activatable caged compound

2021 ◽  
Vol 118 (6) ◽  
pp. e2009634118
Author(s):  
Hironori Takahashi ◽  
Mako Kamiya ◽  
Minoru Kawatani ◽  
Keitaro Umezawa ◽  
Yoshiaki Ukita ◽  
...  
Keyword(s):  
Caenorhabditis Elegans ◽  
Neural Activity ◽  
Transient Receptor Potential ◽  
Behavioral Control ◽  
Receptor Potential ◽  
Transient Receptor Potential Vanilloid ◽  
Neural Basis ◽  
Caged Compounds ◽  
Phenol Derivatives ◽  
Photophobic Response

Caenorhabditis elegans is used as a model system to understand the neural basis of behavior, but application of caged compounds to manipulate and monitor the neural activity is hampered by the innate photophobic response of the nematode to short-wavelength light or by the low temporal resolution of photocontrol. Here, we develop boron dipyrromethene (BODIPY)-derived caged compounds that release bioactive phenol derivatives upon illumination in the yellow wavelength range. We show that activation of the transient receptor potential vanilloid 1 (TRPV1) cation channel by spatially targeted optical uncaging of the TRPV1 agonist N-vanillylnonanamide at 580 nm modulates neural activity. Further, neuronal activation by illumination-induced uncaging enables optical control of the behavior of freely moving C. elegans without inducing a photophobic response and without crosstalk between uncaging and simultaneous fluorescence monitoring of neural activity.

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 ◽  
...  
Keyword(s):  
Neural Activity ◽  
Silicon Substrate ◽  
Cranial Nerves ◽  
Microelectrode Arrays

scholarly journals Microelectrode arrays for monitoring neural activity in neural stem cells with modulation by glutamate in vitro

2020 ◽  
Vol 3 (2) ◽  
pp. 69-74
Author(s):  
Fei Gao ◽  
Jinping Luo ◽  
Yilin Song ◽  
Enhui He ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Stem Cells ◽  
Neural Stem Cells ◽  
Neural Activity ◽  
Microelectrode Arrays
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