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dc.contributor.authorHonegger, Thibault
dc.contributor.authorScott, Mark A.
dc.contributor.authorVoldman, Joel
dc.contributor.authorYanik, Mehmet Fatih
dc.date.accessioned2014-10-21T14:53:35Z
dc.date.available2014-10-21T14:53:35Z
dc.date.issued2013-01
dc.date.submitted2012-08
dc.identifier.issn1473-0197
dc.identifier.issn1473-0189
dc.identifier.urihttp://hdl.handle.net/1721.1/91019
dc.description.abstractAxons in the developing nervous system are directed via guidance cues, whose expression varies both spatially and temporally, to create functional neural circuits. Existing methods to create patterns of neural connectivity in vitro use only static geometries, and are unable to dynamically alter the guidance cues imparted on the cells. We introduce the use of AC electrokinetics to dynamically control axonal growth in cultured rat hippocampal neurons. We find that the application of modest voltages at frequencies on the order of 10[superscript 5] Hz can cause developing axons to be stopped adjacent to the electrodes while axons away from the electric fields exhibit uninhibited growth. By switching electrodes on or off, we can reversibly inhibit or permit axon passage across the electrodes. Our models suggest that dielectrophoresis is the causative AC electrokinetic effect. We make use of our dynamic control over axon elongation to create an axon-diode via an axon-lock system that consists of a pair of electrode ‘gates’ that either permit or prevent axons from passing through. Finally, we developed a neural circuit consisting of three populations of neurons, separated by three axon-locks to demonstrate the assembly of a functional, engineered neural network. Action potential recordings demonstrate that the AC electrokinetic effect does not harm axons, and Ca[superscript 2+] imaging demonstrated the unidirectional nature of the synaptic connections. AC electrokinetic confinement of axonal growth has potential for creating configurable, directional neural networks.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (R01 EUREKA Award R01-NS066352)en_US
dc.language.isoen_US
dc.publisherRoyal Society of Chemistryen_US
dc.relation.isversionofhttp://dx.doi.org/10.1039/c2lc41000aen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleElectrokinetic confinement of axonal growth for dynamically configurable neural networksen_US
dc.typeArticleen_US
dc.identifier.citationHonegger, Thibault, Mark A. Scott, Mehmet F. Yanik, and Joel Voldman. “Electrokinetic Confinement of Axonal Growth for Dynamically Configurable Neural Networks.” Lab Chip 13, no. 4 (2013): 589.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorHonegger, Thibaulten_US
dc.contributor.mitauthorScott, Mark A.en_US
dc.contributor.mitauthorYanik, Mehmet Fatihen_US
dc.contributor.mitauthorVoldman, Joelen_US
dc.relation.journalLab on a Chipen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsHonegger, Thibault; Scott, Mark A.; Yanik, Mehmet F.; Voldman, Joelen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8898-2296
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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