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

Abstract Microelectrode 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 informatio...

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Autores principales:	Austin P. Passaro, Onur Aydin, M. Taher A. Saif, Steven L. Stice
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/692874503f1944268a7f0516c2cab888
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spelling	oai:doaj.org-article:692874503f1944268a7f0516c2cab8882021-12-02T17:39:31ZDevelopment of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays10.1038/s41598-021-88675-w2045-2322https://doaj.org/article/692874503f1944268a7f0516c2cab8882021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88675-whttps://doaj.org/toc/2045-2322Abstract Microelectrode 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.Austin P. PassaroOnur AydinM. Taher A. SaifSteven L. SticeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Austin P. Passaro Onur Aydin M. Taher A. Saif Steven L. Stice Development of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays
description	Abstract Microelectrode 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.
format	article
author	Austin P. Passaro Onur Aydin M. Taher A. Saif Steven L. Stice
author_facet	Austin P. Passaro Onur Aydin M. Taher A. Saif Steven L. Stice
author_sort	Austin P. Passaro
title	Development of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays
title_short	Development of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays
title_full	Development of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays
title_fullStr	Development of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays
title_full_unstemmed	Development of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays
title_sort	development of an objective index, neural activity score (nas), reveals neural network ontogeny and treatment effects on microelectrode arrays
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/692874503f1944268a7f0516c2cab888
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Development of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays

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