Ten ways to improve the quality of descriptions of whole-animal movement

Yoav Benjamini, Dina Lipkind, Guy Horev, Ehud Fonio, Neri Kafkafi, Ilan Golani*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

The demand for replicability of behavioral results across laboratories is viewed as a burden in behavior genetics. We demonstrate how it can become an asset offering a quantitative criterion that guides the design of better ways to describe behavior. Passing the high benchmark dictated by the replicability demand requires less stressful and less restraining experimental setups, less noisy data, individually customized cutoff points between the building blocks of movement, and less variable yet discriminative dynamic representations that would capture more faithfully the nature of the behavior, unmasking similarities and differences and revealing novel animal-centered measures. Here we review ten tools that enhance replicability without compromising discrimination. While we demonstrate the usefulness of these tools in the context of inbred mouse exploratory behavior they can readily be used in any study involving a high-resolution analysis of spatial behavior. Viewing replicability as a design concept and using the ten methodological improvements may prove useful in many fields not necessarily related to spatial behavior.

Original languageEnglish
Pages (from-to)1351-1365
Number of pages15
JournalNeuroscience and Biobehavioral Reviews
Volume34
Issue number8
DOIs
StatePublished - Jul 2010

Keywords

  • Compression of kinematic data
  • Description of behavior
  • Discriminability between strains and preparations
  • Exploratory behavior
  • Genotype-laboratory interaction
  • Mixed-Model Anova
  • Open field behavior
  • Phenotyping mouse behavior
  • Replicability of results
  • Segmentation of behavior
  • Smoothing kinematic data

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