An improved platform for cultured neuronal network electrophysiology: Multichannel optogenetics integrated with MEAs

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dc.authorid0000-0003-2075-7724
dc.authorid0000-0003-0352-1947
dc.contributor.authorBayat, Fazlı Kemal
dc.contributor.authorAlp, Muhammed İkbal
dc.contributor.authorBostan, Sevginur
dc.contributor.authorGülçür, Halil Özcan
dc.contributor.authorÖztürk, Gürkan
dc.contributor.authorGüveniş, Albert
dc.date.accessioned2022-11-15T06:14:32Z
dc.date.available2022-11-15T06:14:32Z
dc.date.issued2022
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Rejeneratif ve Restoratif Tıp Araştırmaları Merkezi (REMER)
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Sağlık Bilim ve Teknolojileri Araştırma Enstitüsü
dc.description.abstractCultured neuronal networks (CNNs) are powerful tools for studying how neuronal representation and adaptation emerge in networks of controlled populations of neurons. To ensure the interaction of a CNN and an artificial setting, reliable operation in both open and closed loops should be provided. In this study, we integrated optogenetic stimulation with microelectrode array (MEA) recordings using a digital micromirror device and developed an improved research tool with a 64-channel interface for neuronal network control and data acquisition. We determined the ideal stimulation parameters including light intensity, frequency, and duty cycle for our configuration. This resulted in robust and reproducible neuronal responses. We also demonstrated both open and closed loop configurations in the new platform involving multiple bidirectional channels. Unlike previous approaches that combined optogenetic stimulation and MEA recordings, we did not use binary grid patterns, but assigned an adjustable-size, non-binary optical spot to each electrode. This approach allowed simultaneous use of multiple input-output channels and facilitated adaptation of the stimulation parameters. Hence, we advanced a 64-channel interface in that each channel can be controlled individually in both directions simultaneously without any interference or interrupts. The presented setup meets the requirements of research in neuronal plasticity, network encoding and representation, closed-loop control of firing rate and synchronization. Researchers who develop closed-loop control techniques and adaptive stimulation strategies for network activity will benefit much from this novel setup.
dc.description.sponsorshipBogazici Universityen_US
dc.identifier.citationBayat, F. K., Alp, M. İ., Bostan, S., Gülçür, H. Ö., Öztürk, G. ve Güveniş, A. (2022). An improved platform for cultured neuronal network electrophysiology: Multichannel optogenetics integrated with MEAs. European Biophysics Journal With Biophysics Letters, 51(6), 503-514. https://doi.org/10.1007/s00249-022-01613-0
dc.identifier.doi10.1007/s00249-022-01613-0
dc.identifier.endpage514
dc.identifier.issn0175-7571
dc.identifier.issn1432-1017
dc.identifier.issue6
dc.identifier.pmid35930029
dc.identifier.scopus2-s2.0-85135445758
dc.identifier.scopusqualityN/A
dc.identifier.startpage503
dc.identifier.urihttps://doi.org/10.1007/s00249-022-01613-0
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9958
dc.identifier.volume51
dc.identifier.wos000836495600001en_US
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorAlp, Muhammed İkbal
dc.institutionauthorBostan, Sevginur
dc.institutionauthorÖztürk, Gürkan
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofEuropean Biophysics Journal With Biophysics Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectClosed-Loop Electrophysiology
dc.subjectCultured Neuronal Networks (CNN)
dc.subjectDigital Light Processing (DLP)
dc.subjectMicroelectrode Array (MEA)
dc.subjectNetwork Electrophysiology
dc.subjectOptogenetic Stimulation
dc.titleAn improved platform for cultured neuronal network electrophysiology: Multichannel optogenetics integrated with MEAs
dc.typeArticle

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