Slow-Wave Recordings From Micro-Sized Neural Clusters Using Multiwell Type Microelectrode Arrays

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dc.contributor.authorJoo, Sunghoonko
dc.contributor.authorNam, Yoonkeyko
dc.date.accessioned2019-02-20T05:11:49Z-
dc.date.available2019-02-20T05:11:49Z-
dc.date.created2019-02-11-
dc.date.created2019-02-11-
dc.date.issued2019-02-
dc.identifier.citationIEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, v.66, no.2, pp.403 - 410-
dc.identifier.issn0018-9294-
dc.identifier.urihttp://hdl.handle.net/10203/250351-
dc.description.abstractObjective: The use of microelectrode array (MEA) recordings is a very effective neurophysiological method because it is able to continuously and noninvasively obtain the spatiotemporal information of electrical activity from many neurons constituting a neural network. Very recently, studies have been published that used MEAs for the measurement of a low-frequency component of electrical activity as an indicator of diverse activity of cultured neurons. The occurrence of low-frequency activities has electrophysiological information that does not include the information from fast spikes. However, there is no in vitro experimental model suitable for measuring the low-frequency activities (slow-waves) for further study. Methods: Neural clusters consisting of dozens of neurons were placed directly onto each electrode of an MEA from which fast spikes and slow-waves were measured. Results: We obtained sufficient data on the early development patterns of the slow-waves and the spikes measured from many independent neural clusters confirming that the slow-waves occurred first before the emergence of the spikes in the neural clusters. We also showed that changes in the occurrence frequency of the slow-waves for synaptic blockers were measured from a large number of independent cultures. Conclusion: Microsized neural cluster arrays, which can be combined with conventional MEAs, are suitable for multiple simultaneous recordings of slow-waves. Significance: Our technology provides a simple but useful method to study the generation of a low-frequency component of the electrical activity in cultured neural networks that are not yet well known as well as to expand the use of conventional MEAs.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleSlow-Wave Recordings From Micro-Sized Neural Clusters Using Multiwell Type Microelectrode Arrays-
dc.typeArticle-
dc.identifier.wosid000456915400012-
dc.identifier.scopusid2-s2.0-85047968238-
dc.type.rimsART-
dc.citation.volume66-
dc.citation.issue2-
dc.citation.beginningpage403-
dc.citation.endingpage410-
dc.citation.publicationnameIEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING-
dc.identifier.doi10.1109/TBME.2018.2843793-
dc.contributor.localauthorNam, Yoonkey-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorCell patterning-
dc.subject.keywordAuthorelectrophysiology-
dc.subject.keywordAuthorneural recording-
dc.subject.keywordAuthormicroelectrode arrays-
dc.subject.keywordAuthorcell culture-
dc.subject.keywordPlusNETWORKS-
dc.subject.keywordPlusBIOSENSOR-
dc.subject.keywordPlusSPIKES-
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