Hybridizing experimental paradigms to increase high throughput of neurobehavioral data

Rupert J. Egan, Amanda N. Smolinsky, Carisa L. Bergner, Justin L. LaPorte, Peter C. Hart, Allan V. Kalueff*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

Although traditional (relatively simple and mostly single-domain) animal models of brain disorders continue to dominate biological psychiatry, combining experimental paradigms in an intelligent manner can save time, minimize the use of resources, and increase throughput of neurobehavioral data. This approach, also termed "hybridization of models," not only enables innovative modeling of neuropsychiatric disorders (through broad and thorough investigation of complex phenotypical characteristics) but contributes to the improvement of research ethics by following two of the 3R principles - Reduction [of animal numbers] and Refinement [of the research process by employing less distressful procedures]. This chapter will discuss methodological aspects and multiple benefits of using "hybrid" experimental paradigms in neurobehavioral research.

Original languageEnglish
Title of host publicationTranslational Neuroscience in Animal Research
Subtitle of host publicationAdvancement, Challenges, and Research Ethics
PublisherNova Science Publishers, Inc.
Pages113-123
Number of pages11
ISBN (Print)9781608761852
Publication statusPublished - Feb 2011
Externally publishedYes

Keywords

  • 3R Principles.
  • Animal (experimental) models
  • Behavioral paradigms
  • Neuropsychiatric disorders

Fingerprint

Dive into the research topics of 'Hybridizing experimental paradigms to increase high throughput of neurobehavioral data'. Together they form a unique fingerprint.

Cite this