ArticleJournal of biomolecular screening2016
Characterization of Early Cortical Neural Network Development in Multiwell Microelectrode Array Plates.
Article in Journal of biomolecular screening, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
34 citing papers in PubMed, 78 citations in OpenAlex.
- Integrating mechanistic data to contextualize in vivo apical observations using the developmental neurotoxicity in vitro battery.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Recent Advances in Microelectrode Array Interfaces for Organoids.Biomimetics (Basel, Switzerland) · 2026Review
- UV Laser-Induced Carbon Microelectrode Arrays for Neuronal Recordings.Advanced healthcare materials · 2025Article
- Optimizing the in vitro neuronal microenvironment to mitigate phototoxicity in live-cell imaging.Stem cell research & therapy · 2025Article
- Review
- A comparative study of biostatistical pipelines for benchmark concentration modeling ofComputational toxicology (Amsterdam, Netherlands) · 2025Article
- Human stem cell-based models to study synaptic dysfunction and cognition in schizophrenia: A narrative review.Schizophrenia research · 2024Review
- Screening tools to evaluate the neurotoxic potential of botanicals: building a strategy to assess safety.Expert opinion on drug metabolism & toxicology · 2024Review
- CorticalProceedings of the National Academy of Sciences of the United States of America · 2024Article
- NeuroActivityToolkit-Toolbox for Quantitative Analysis of Miniature Fluorescent Microscopy Data.Journal of imaging · 2023Article
- Induction of dopaminergic neurons for neuronal subtype-specific modeling of psychiatric disease risk.Molecular psychiatry · 2023Article
- Human-Derived Cortical Neurospheroids Coupled to Passive, High-Density and 3D MEAs: A Valid Platform for Functional Tests.Bioengineering (Basel, Switzerland) · 2023Article
- Spatiotemporal spike-centered averaging reveals symmetry of temporal and spatial components of the spike-LFP relationship during human focal seizures.Communications biology · 2023Article
- Assaying Spontaneous Network Activity and Cellular Viability Using Multi-Well Microelectrode Arrays.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Developmental depression-to-facilitation shift controls excitation-inhibition balance.Communications biology · 2022Article
- Comparative microelectrode array data of the functional development of hPSC-derived and rat neuronal networks.Scientific data · 2022Article
- Validation of Functional Connectivity of Engineered Neuromuscular Junction With Recombinant Monosynaptic Pseudotyped ΔG-Rabies Virus Tracing.Frontiers in integrative neuroscience · 2022Article
- Early prediction of developing spontaneous activity in cultured neuronal networks.Scientific reports · 2021Article
- Novel test strategies for in vitro seizure liability assessment.Expert opinion on drug metabolism & toxicology · 2021Review
- Development of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
We examined neural network ontogeny using microelectrode array (MEA) recordings made in multiwell MEA (mwMEA) plates over the first 12 days in vitro (DIV). In primary cortical cultures, action potential spiking activity developed rapidly between DIV 5 and 12. Spiking was sporadic and unorganized at early DIV, and became progressively more organized with time, with bursting parameters, synchrony, and network bursting increasing between DIV 5 and 12. We selected 12 features to describe network activity; principal components analysis using these features demonstrated segregation of data by age at both the well and plate levels. Using random forest classifiers and support vector machines, we demonstrated that four features (coefficient of variation [CV] of within-burst interspike interval, CV of interburst interval, network spike rate, and burst rate) could predict the age of each well recording with >65% accuracy. When restricting the classification to a binary decision, accuracy improved to as high as 95%. Further, we present a novel resampling approach to determine the number of wells needed for comparing different treatments. Overall, these results demonstrate that network development on mwMEA plates is similar to development in single-well MEAs. The increased throughput of mwMEAs will facilitate screening drugs, chemicals, or disease states for effects on neurodevelopment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.