ArticleScientific reports2016
Simultaneous multi-patch-clamp and extracellular-array recordings: Single neuron reflects network activity.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Cadherin-13 is a critical regulator of GABAergic modulation in human stem-cell-derived neuronal networks.Molecular psychiatry · 2022Article
- Early prediction of developing spontaneous activity in cultured neuronal networks.Scientific reports · 2021Article
- Extracellular detection of neuronal coupling.Scientific reports · 2021Article
- Review
- Flexible, diamond-based microelectrodes fabricated using the diamond growth side for neural sensing.Microsystems & nanoengineering · 2020Article
- Influence of Nanomolar Deltamethrin on the Hallmarks of Primary Cultured Cortical Neuronal Network and the Role of Ryanodine Receptors.Environmental health perspectives · 2019Article
- Random Neuronal Networks show homeostatic regulation of global activity while showing persistent changes in specific connectivity paths to theta burst stimuli.Scientific reports · 2018Article
- Adaptive nodes enrich nonlinear cooperative learning beyond traditional adaptation by links.Scientific reports · 2018Article
- Review
- New Types of Experiments Reveal that a Neuron Functions as Multiple Independent Threshold Units.Scientific reports · 2017Article
- Combination of High-density Microelectrode Array and Patch Clamp Recordings to Enable Studies of Multisynaptic Integration.Scientific reports · 2017Article
- Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increasing number of recording electrodes enhances the capability of capturing the network's cooperative activity, however, using too many monitors might alter the properties of the measured neural network and induce noise. Using a technique that merges simultaneous multi-patch-clamp and multi-electrode array recordings of neural networks in-vitro, we show that the membrane potential of a single neuron is a reliable and super-sensitive probe for monitoring such cooperative activities and their detailed rhythms. Specifically, the membrane potential and the spiking activity of a single neuron are either highly correlated or highly anti-correlated with the time-dependent macroscopic activity of the entire network. This surprising observation also sheds light on the cooperative origin of neuronal burst in cultured networks. Our findings present an alternative flexible approach to the technique based on a massive tiling of networks by large-scale arrays of electrodes to monitor their activity.
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