TY - JOUR
T1 - Ten ways to improve the quality of descriptions of whole-animal movement
AU - Benjamini, Yoav
AU - Lipkind, Dina
AU - Horev, Guy
AU - Fonio, Ehud
AU - Kafkafi, Neri
AU - Golani, Ilan
N1 - Funding Information:
This study was supported by the Israel Science Foundation (ISF) of the Israeli Academy of Science Grant 915/05 (to I.G. and Y.B.). We thank Noldus Information Technology for the use of their EthoVision system including the new EthoVision XT 7.0. Initial versions of this paper were presented in a symposium organized by JC Fentress as part of a Measuring Behavior Conference held in Maastricht, The Netherlands, 2008, and in the Meeting of the Eastern Mediterranean Region of the International Biometric Society, Istanbul 2009.
PY - 2010/7
Y1 - 2010/7
N2 - 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.
AB - 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.
KW - Compression of kinematic data
KW - Description of behavior
KW - Discriminability between strains and preparations
KW - Exploratory behavior
KW - Genotype-laboratory interaction
KW - Mixed-Model Anova
KW - Open field behavior
KW - Phenotyping mouse behavior
KW - Replicability of results
KW - Segmentation of behavior
KW - Smoothing kinematic data
UR - http://www.scopus.com/inward/record.url?scp=77954089030&partnerID=8YFLogxK
U2 - 10.1016/j.neubiorev.2010.04.004
DO - 10.1016/j.neubiorev.2010.04.004
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AN - SCOPUS:77954089030
SN - 0149-7634
VL - 34
SP - 1351
EP - 1365
JO - Neuroscience and Biobehavioral Reviews
JF - Neuroscience and Biobehavioral Reviews
IS - 8
ER -