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The screening of many endpoints when comparing groups from different strains, searching for some statistically significant difference, raises the multiple comparisons problem in its most severe form. Using the 0.05 level to decide which of the many endpoints' differences are statistically significant, the probability of finding a difference to be(More)
Detailed studies of rat exploratory behavior reveal that it consists of typical behavior patterns having a distinct structure. Recently we have developed interactive software that uses as input the automatically digitized time-series of the animal's location for the visualization, analysis, capturing and quantification of these patterns. We use this(More)
Anxiety is a widely studied psychiatric disorder and is thought to be a complex and multidimensional phenomenon. Sensitive behavioral discrimination of animal models of anxiety is crucial for the elucidation of the behavioral components of anxiety and the physiological processes that mediate them. Commonly used behavior paradigms of anxiety usually include(More)
A variety of setups and paradigms are used in the neurosciences for automatically tracking the location of an animal in an experiment and for extracting features of interest out of it. Many of these features, however, are critically sensitive to the unavoidable noise and artifacts of tracking. Here, we examine the relevant properties of several smoothing(More)
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 single-laboratory experiments, and questions have been raised regarding the replicability of the results in(More)
A database of mouse locomotor path in spatial tests can be used to search in silico for behavioral measures that better discriminate between genotypes and are more replicable across laboratories. In this study, software for the exploration of exploration (SEE) was used to search a large database for a novel behavioral measure that would characterize complex(More)
Recently, Drai et al. (J Neurosci Methods 96 (2000) 119) have introduced an algorithm that segments rodent locomotor behavior into natural units of 'staying in place' (lingering) behavior versus going between places (progression segments). This categorization, based on the maximum speed attained within the segment, was shown to be intrinsic to the data,(More)
Repeated separation of rat pups from their mothers has been reported to increase behavioral fearfulness and hypothalamic-pituitary-adrenal (HPA) response to stress. Recently, it was suggested that it might also alter behavioral responses to natural and drug rewards. Here, we studied whether maternal separation (MS) would alter behavioral responses to a(More)
In this report we link candidate genes to complex behavioral phenotypes by using a behavior genetics approach. Gene expression signatures were generated for the prefrontal cortex, ventral striatum, temporal lobe, periaqueductal gray, and cerebellum in eight inbred strains from priority group A of the Mouse Phenome Project. Bioinformatic analysis of(More)
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(More)