Statistical discrimination of natural modes of motion in rat exploratory behavior

Drai, Dan; Benjamini, Yoav; Golani, Ilan

doi:10.1016/s0165-0270(99)00194-6

Cited by 161 publications

(164 citation statements)

References 34 publications

Supporting

Mentioning

158

Contrasting

Unclassified

Order By: Relevance

“…1) is based on ethologicaloriented studies of rats and mice exploration of an unfamiliar environment (15)(16)(17)(18)(19)(20). These studies found that, in contrast to a common view of this behavior as an essentially stochastic phenomenon, it is structured and consists of typical behavior patterns: progression segments separated by lingering episodes, which in turn may be further grouped into excursions from a preferred place (home base) established by the animal.…”

Section: The Open-field Test Withmentioning

confidence: 99%

Genotype–environment interactions in mouse behavior: A way out of the problem

Kafkafi

Benjamini²,

Sakov³

et al. 2005

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

View full text Add to dashboard Cite

In behavior genetics, behavioral patterns of mouse genotypes, such as inbred strains, crosses, and knockouts, are characterized and compared to associate them with particular gene loci. Such genotype differences, however, are usually established in singlelaboratory experiments, and questions have been raised regarding the replicability of the results in other laboratories. A recent multilaboratory experiment found significant laboratory effects and genotype ؋ laboratory interactions even after rigorous standardization, raising the concern that results are idiosyncratic to a particular laboratory. This finding may be regarded by some critics as a serious shortcoming in behavior genetics. A different strategy is offered here: (i) recognize that even after investing much effort in identifying and eliminating causes for laboratory differences, genotype ؋ laboratory interaction is an unavoidable fact of life. (ii) Incorporate this understanding into the statistical analysis of multilaboratory experiments using the mixed model. Such a statistical approach sets a higher benchmark for finding significant genotype differences. (iii) Develop behavioral assays and endpoints that are able to discriminate genetic differences even over the background of the interaction. (iv) Use the publicly available multilaboratory results in single-laboratory experiments. We use software-based strategy for exploring exploration (SEE) to analyze the open-field behavior in eight genotypes across three laboratories. Our results demonstrate that replicable behavioral measures can be practically established. Even though we address the replicability problem in behavioral genetics, our strategy is also applicable in other areas where concern about replicability has been raised.across-laboratory replicability ͉ mixed-model ANOVA ͉ open-field behavior I n behavior genetics, behavior patterns of standardized mouse genotypes, such as inbred strains or knockouts, are characterized to associate them with particular gene loci. The need for such characterization, referred to as behavioral phenotyping, has prompted the design of behavioral test batteries for mice (1-3). A practical problem well known to most experimenters in the field, however, is that it can be difficult to replicate behavioral phenotyping results in a different laboratory. This replicability problem was largely ignored until brought to light in 1999 by Crabbe, Wahlsten, and Dudek (3). In this pioneering study they conducted an experiment concurrently in three laboratories, comparing eight genotypes by using seven standard behavioral characteristics (endpoints) in a well coordinated study closely following identical protocols. Their main positive finding was that large genotype differences were demonstrated in all studied endpoints. On the negative side they found significant differences between laboratories across all genotypes in many endpoints. Although the difficulties raised by such significant laboratory effects can be overcome by running a common genotype as a local control, they ...

show abstract

Section: The Open-field Test Withmentioning

confidence: 99%

Genotype–environment interactions in mouse behavior: A way out of the problem

Kafkafi

Benjamini²,

Sakov³

et al. 2005

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

View full text Add to dashboard Cite

show abstract

“…This approach, however, was not applied to locomotor patterns of arbitrary morphology and did not address pattern temporal structure, a fundamental limitation of simple Markov models. Algorithms that identify individual bouts of locomotor activity have also been reported (Drai et al 2000;Drai and Golani 2001;Golani et al 1999;Kafkafi et al 2003), but these techniques are not readily adaptable to the quantification of route-tracing stereotypies. Finally, in a novel use of ergodic theory, Paulus and colleagues demonstrated that both metric and topological entropy parameters could describe increased home-cage stereotypical locomotor behavior after psychostimulant treatment (Paulus et al 1990(Paulus et al , 1999Paulus and Geyer 1991).…”

Section: Introductionmentioning

confidence: 99%

A novel method for automatic quantification of psychostimulant-evoked route-tracing stereotypy: application to Mus musculus

Bonasera

Schenk

Luxenberg³

et al. 2007

Psychopharmacology

View full text Add to dashboard Cite

Rationale-Route-tracing stereotypy is a powerful behavioral correlate of striatal function that is difficult to quantify. Measurements of route-tracing stereotypy in an automated, high throughput, easily quantified, and replicable manner would facilitate functional studies of this central nervous system region.Objective-We examined how t-pattern sequential analysis (Magnusson Behav Res Meth Instrum Comput 32:93-110, 2000) can be used to quantify mouse route-tracing stereotypies. This method reveals patterns by testing whether particular sequences of defined states occur within a specific time interval at a probability greater than chance.Results-Mouse home-cage locomotor patterns were recorded after psychostimulant administration (GBR 12909, 0, 3, 10, and 30 mg/kg; d-amphetamine, 0, 2.5, 5, and 10 mg/kg). After treatment with GBR 12909, dose-dependent increases in the number of found patterns and overall pattern length and depth were observed. Similar findings were seen after treatment with damphetamine up to the dosage where focused stereotypies dominated behavioral response. For both psychostimulants, detected patterns displayed similar morphological features. Pattern sets containing a few frequently repeated patterns of greater length/depth accounted for a greater percentage of overall trial duration in a dose-dependant manner. This finding led to the development of a t-patternderived route-tracing stereotypy score. Compared to scores derived by manual observation, these tpattern-derived route-tracing stereotypy scores yielded similar results with less within-group variability. These findings remained similar after reanalysis with removal of patterns unmatched after human scoring and after normalization of locomotor speeds at low and high ranges. Conclusions-T-patternanalysis is a versatile and robust pattern detection and quantification algorithm that complements currently available observational phenotyping methods.

show abstract

“…Peak velocity also occurs at the midpoint of the trip, regardless of trip distance and presence of visual cues, suggesting that the trip is preplanned via calculations using the self-movement cues produced on the outward excursion (Wallace et al, 2002a,b). A similar pattern of behavior occurs in relation to virtual home bases formed by rats exploring a featureless environment (Drai et al, 2000;Eilam & Golani, 1989;Golani et al, 1993;Tchernichovski et al, 1998). In the present study, it was also observed that the velocity of homeward trips was distinctively high and symmetrical in the rat pups, suggesting the movement is preplanned.…”

Section: Discussionmentioning

confidence: 70%

“…Although the presence of a home base provides a focus for exploratory behavior, it is not essential. Rats placed in a featureless environment create one or more virtual home bases from which they make outward and homeward trips (Drai, Benjamini, & Golani, 2000;Eilam & Golani, 1989;Golani, Benjamini, & Elam, 1993;Tchernichovski, Benjamini, & Golani, 1998).…”

mentioning

confidence: 99%

The development of spatial capacity in piloting and dead reckoning by infant rats: Use of the huddle as a home base for spatial navigation

2005

View full text Add to dashboard Cite

Two forms of spatial navigation, piloting using external cues and dead reckoning using self-movement cues, are manifest in the outward and homeward trips of adult rats exploring from a home base. Here, the development of these two forms of spatial behavior are described for rats aged 14-65 days using a new paradigm in which a huddle of pups or an artificial huddle, a small heat pad, served as a home base on an open circular table that the rats could explore. When moving away from both home bases, the travel distance, path complexity, and number of stops of outward trips from the home base increased progressively with age from postnatal day 16 through 22. When returning to the home bases, the return trips to the home base were always more direct and had high travel velocities even though travel distance increased with age for the longest trips. The results are discussed in relation to the ideas that: (1) the pups pilot on the outward portion of their excursion and dead reckon on the homeward portion of their excursion, and (2) the two forms of navigation and associated spatial capacity are interdependent and develop in parallel and in close association with locomotor skill.

show abstract

Statistical discrimination of natural modes of motion in rat exploratory behavior

Cited by 161 publications

References 34 publications

Genotype–environment interactions in mouse behavior: A way out of the problem

Genotype–environment interactions in mouse behavior: A way out of the problem

A novel method for automatic quantification of psychostimulant-evoked route-tracing stereotypy: application to Mus musculus

The development of spatial capacity in piloting and dead reckoning by infant rats: Use of the huddle as a home base for spatial navigation

Contact Info

Product

Resources

About