Literature DB >> 24216177

Neural circuits with long-distance axon tracts for determining functional connectivity.

Min D Tang-Schomer1, Paul Davies2, Daniel Graziano1, Amy E Thurber3, David L Kaplan4.   

Abstract

The cortical circuitry in the brain consists of structurally and functionally distinct neuronal assemblies with reciprocal axon connections. To generate cell culture-based systems that emulate axon tract systems of an in vivo neural network, we developed a living neural circuit consisting of compartmentalized neuronal populations connected by arrays of two millimeter-long axon tracts that are integrated on a planar multi-electrode array (MEA). The millimeter-scale node-to-node separation allows for pharmacological and electrophysiological manipulations to simultaneously target multiple neuronal populations. The results show controlled selectivity of dye absorption by neurons in different compartments. MEA-transmitted electrical stimulation of targeted neurons shows ∼46% increase of intracellular calcium levels with 20 Hz stimulation, but ∼22% decrease with 2k Hz stimulation. The unique feature of long distance axons promotes in vivo-like fasciculation. These axon tracts are determined to be inhibitory afferents by showing increased action potential firing of downstream node upon selective application of γ-aminobutyric acid (GABA) to the upstream node. Together, this model demonstrates integrated capabilities for assessing multiple endpoints including axon tract tracing, calcium influx, network architecture and activities. This system can be used as a multi-functional platform for studying axon tract-associated CNS disorders in vitro, such as diffuse axonal injury after brain trauma.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Axon tract; Calcium imaging; Electrical stimulation; Inhibitory afferent; Interface; Micropattern

Mesh:

Substances:

Year:  2013        PMID: 24216177      PMCID: PMC3752314          DOI: 10.1016/j.jneumeth.2013.10.014

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


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