Literature DB >> 27187941

Characterization of Axonal Spikes in Cultured Neuronal Networks Using Microelectrode Arrays and Microchannel Devices.

Nari Hong, Sunghoon Joo, Yoonkey Nam.   

Abstract

OBJECTIVE: Axonal propagation has a pivotal role in information processing in the brain. However, there has been little experimental study due to the difficulty of isolation of axons and recording their signals. Here, we developed dual chamber neuronal network interconnected with axons by integrating microchannel devices with microelectrode arrays (MEAs) to investigate axonal signals in developmental stage.
METHODS: The device was composed of two chambers and microchannels between them, and hippocampal neurons were cultured in both chambers. Neuronal activity was recorded for four weeks.
RESULTS: Large axonal signal was detected in microchannels, which were 137.0 ± 8.5 μV at 14 days in vitro (DIV). It was significantly larger than those in chambers with a similar range of signal-to-noise ratio. Detection efficiency of axonal spikes was analyzed by calculating the number of active electrodes over time. We found that active electrodes were detected earlier and their number increased faster in microchannels than those in chambers. Finally, we estimated the axonal conduction velocity and 73% of axons had the velocity in range of 0.2-0.5 m/s at 14 DIV. By estimating the velocity over the cultivation period, we observed that axonal conduction velocity increased linearly over time.
CONCLUSION: Using MEAs and microchannel devices, we successfully detected large axonal signals and analyzed their detection efficiency and conduction velocity. We first showed the gradual increase in conduction velocity depending on cultivation days. SIGNIFICANCE: The developed microchannel device integrated MEA may be applicable for the studies of axonal conduction in cultured neuronal networks.

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Mesh:

Year:  2016        PMID: 27187941     DOI: 10.1109/TBME.2016.2567424

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  5 in total

1.  Optimised PDMS Tunnel Devices on MEAs Increase the Probability of Detecting Electrical Activity from Human Stem Cell-Derived Neuronal Networks.

Authors:  Maria Toivanen; Anssi Pelkonen; Meeri Mäkinen; Laura Ylä-Outinen; Lassi Sukki; Pasi Kallio; Mervi Ristola; Susanna Narkilahti
Journal:  Front Neurosci       Date:  2017-10-31       Impact factor: 4.677

2.  Design of Cultured Neuron Networks in vitro with Predefined Connectivity Using Asymmetric Microfluidic Channels.

Authors:  Arseniy Gladkov; Yana Pigareva; Daria Kutyina; Vladimir Kolpakov; Anton Bukatin; Irina Mukhina; Victor Kazantsev; Alexey Pimashkin
Journal:  Sci Rep       Date:  2017-11-15       Impact factor: 4.379

3.  µSpikeHunter: An advanced computational tool for the analysis of neuronal communication and action potential propagation in microfluidic platforms.

Authors:  Kristine Heiney; José C Mateus; Cátia D F Lopes; Estrela Neto; Meriem Lamghari; Paulo Aguiar
Journal:  Sci Rep       Date:  2019-04-08       Impact factor: 4.379

Review 4.  Functional Characterization of Human Pluripotent Stem Cell-Derived Models of the Brain with Microelectrode Arrays.

Authors:  Anssi Pelkonen; Cristiana Pistono; Pamela Klecki; Mireia Gómez-Budia; Antonios Dougalis; Henna Konttinen; Iveta Stanová; Ilkka Fagerlund; Ville Leinonen; Paula Korhonen; Tarja Malm
Journal:  Cells       Date:  2021-12-29       Impact factor: 6.600

Review 5.  Integrating Biosensors in Organs-on-Chip Devices: A Perspective on Current Strategies to Monitor Microphysiological Systems.

Authors:  Erika Ferrari; Cecilia Palma; Simone Vesentini; Paola Occhetta; Marco Rasponi
Journal:  Biosensors (Basel)       Date:  2020-08-28
  5 in total

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