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Leveraging Microelectrode Array Technology for Phenotyping Stem Cell-Derived Neurodevelopmental Disease Models

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Translational Research Methods in Neurodevelopmental Disorders

Part of the book series: Neuromethods ((NM,volume 185))

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Abstract

Neuronal network activity is commonly affected in neurodevelopmental diseases. Human-induced pluripotent stem cell (hiPSC)-derived neuronal models are powerful for brain disease modeling and drug screening in vitro. Microelectrode arrays (MEAs) provide a noninvasive platform to record spontaneous neuronal activity. Here, we provide guidelines on MEA application and an overview on how MEAs are currently used in research for modelling neurodevelopmental diseases using hiPSC-derived neuronal models. We highlight the advantages of using MEAs for better understanding of physiological and pathological aspects of brain activity as well as limitations and future direction of this approach.

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Authors and Affiliations

  1. Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behavior, Nijmegen, The Netherlands

    Shan Wang & Nael Nadif Kasri

  2. Department of Human Genetics, Radboudumc, Donders Institute for Brain Cognition and Behavior, Nijmegen, The Netherlands

    Eline van Hugte, Ummi Ciptasari & Nael Nadif Kasri

Authors
  1. Shan Wang
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  2. Eline van Hugte
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  3. Ummi Ciptasari
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  4. Nael Nadif Kasri
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Corresponding author

Correspondence to Nael Nadif Kasri .

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Editors and Affiliations

  1. CNRS UMR7275, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France

    Stéphane Martin

  2. UMR1253, iBrain, University of Tours, Inserm, Tours, France

    Frédéric Laumonnier

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Wang, S., van Hugte, E., Ciptasari, U., Nadif Kasri, N. (2022). Leveraging Microelectrode Array Technology for Phenotyping Stem Cell-Derived Neurodevelopmental Disease Models. In: Martin, S., Laumonnier, F. (eds) Translational Research Methods in Neurodevelopmental Disorders. Neuromethods, vol 185. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2569-9_7

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  • DOI: https://doi.org/10.1007/978-1-0716-2569-9_7

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