An introduction to in vitro slice approaches for the study of neuronal circuitry

Carmen Varela, Daniel A. Llano, Brian B. Theyel

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The acute slice preparation can be a powerful tool to study brain networks that would otherwise be difficult to manipulate at the synaptic and cellular levels. In the first part of this chapter, we discuss the specific challenges of preparing brain slices to study neural networks, and we review solutions to overcome problems that can be faced during slice preparation and maintenance. In addition, we describe slice preparations that preserve the connectivity between multiple brain areas, such as hippocampal and thalamocortical slices. In the second part, we introduce several techniques that can be used to stimulate specific cells or networks in acute slices. We begin by reviewing methods for electrical stimulation, glutamate-based stimulation, and optogenetic stimulation. An additional procedure that combines the use of laser photostimulation with flavoprotein autofluorescence is also presented. We discuss advantages and disadvantages of these methods for neural network investigation in the acute slice preparation.

Original languageEnglish (US)
Title of host publicationNeuronal Network Analysis
Subtitle of host publicationConcepts and Experimental Approaches
Pages103-125
Number of pages23
DOIs
StatePublished - Apr 19 2012

Publication series

NameNeuromethods
Volume67
ISSN (Print)0893-2336
ISSN (Electronic)1940-6045

Keywords

  • Electrical stimulation
  • Flavoprotein autofluorescence
  • Laser photostimulation
  • Optogenetic stimulation
  • Slice maintenance
  • Slice preparation

ASJC Scopus subject areas

  • Neuroscience(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Pharmacology, Toxicology and Pharmaceutics(all)
  • Psychiatry and Mental health

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  • Cite this

    Varela, C., Llano, D. A., & Theyel, B. B. (2012). An introduction to in vitro slice approaches for the study of neuronal circuitry. In Neuronal Network Analysis: Concepts and Experimental Approaches (pp. 103-125). (Neuromethods; Vol. 67). https://doi.org/10.1007/7657_2011_19