Document Detail

Electrokinetic confinement of axonal growth for dynamically configurable neural networks.
MedLine Citation:
PMID:  23314575     Owner:  NLM     Status:  MEDLINE    
Axons 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(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(2+) imaging demonstrated the unidirectional nature of the synaptic connections. AC electrokinetic confinement of axonal growth has potential for creating configurable, directional neural networks.
Thibault Honegger; Mark A Scott; Mehmet F Yanik; Joel Voldman
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Lab on a chip     Volume:  13     ISSN:  1473-0189     ISO Abbreviation:  Lab Chip     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-01-24     Completed Date:  2013-10-30     Revised Date:  2014-02-23    
Medline Journal Info:
Nlm Unique ID:  101128948     Medline TA:  Lab Chip     Country:  England    
Other Details:
Languages:  eng     Pagination:  589-98     Citation Subset:  IM    
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MeSH Terms
Axons / physiology*
Cells, Cultured
Electrochemical Techniques* / instrumentation
Microfluidic Analytical Techniques* / instrumentation
Neural Networks (Computer)*
Rats, Sprague-Dawley
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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