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dc.contributor.authorHonegger, Thibault
dc.contributor.authorThielen, Moritz Imanuel
dc.contributor.authorVoldman, Joel
dc.contributor.authorFeizi- Khankandi, Soheil
dc.contributor.authorSanjana, Neville E
dc.date.accessioned2017-05-22T16:15:35Z
dc.date.available2017-05-22T16:15:35Z
dc.date.issued2016-06
dc.date.submitted2016-01
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/1721.1/109255
dc.description.abstractThe central nervous system is a dense, layered, 3D interconnected network of populations of neurons, and thus recapitulating that complexity for in vitro CNS models requires methods that can create defined topologically-complex neuronal networks. Several three-dimensional patterning approaches have been developed but none have demonstrated the ability to control the connections between populations of neurons. Here we report a method using AC electrokinetic forces that can guide, accelerate, slow down and push up neurites in un-modified collagen scaffolds. We present a means to create in vitro neural networks of arbitrary complexity by using such forces to create 3D intersections of primary neuronal populations that are plated in a 2D plane. We report for the first time in vitro basic brain motifs that have been previously observed in vivo and show that their functional network is highly decorrelated to their structure. This platform can provide building blocks to reproduce in vitro the complexity of neural circuits and provide a minimalistic environment to study the structure-function relationship of the brain circuitry.en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/srep28384en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.titleMicrofluidic neurite guidance to study structure-function relationships in topologically-complex population-based neural networksen_US
dc.typeArticleen_US
dc.identifier.citationHonegger, Thibault et al. “Microfluidic Neurite Guidance to Study Structure-Function Relationships in Topologically-Complex Population-Based Neural Networks.” Scientific Reports 6.1 (2016): n. pag. © 2017 Macmillan Publishers Limited,en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.mitauthorHonegger, Thibault
dc.contributor.mitauthorThielen, Moritz Imanuel
dc.contributor.mitauthorVoldman, Joel
dc.contributor.mitauthorFeizi- Khankandi, Soheil
dc.contributor.mitauthorSanjana, Neville E
dc.relation.journalScientific Reportsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsHonegger, Thibault; Thielen, Moritz I.; Feizi, Soheil; Sanjana, Neville E.; Voldman, Joelen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8898-2296
dc.identifier.orcidhttps://orcid.org/0000-0002-0964-0616
mit.licensePUBLISHER_CCen_US


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