Trends in Neurosciences
ViewpointAnalysing hippocampal function in transgenic mice: an ethological perspective
Section snippets
Behavioural analysis could reveal abnormal brain function
Of the many approaches used to analyse phenotypical effects of mutations on brain function2, 3, 4, 5, behavioural analysis is perhaps the most tricky: experiments appear easy to execute and quantitative data can be collected quickly, yet there are several difficulties associated with analysing the behavioural effects of a mutation on hippocampal function. An obvious problem is that some basic performance factors can influence behavioral results. For example, a mouse with a motor impairment
The importance of designing ethologically relevant behavioural tasks
In the laboratory, animals can behave in ways that are difficult to interpret, partly because they are genetically predisposed to selectively attend to, process and recall certain specific stimuli that might be altered under artificial conditions. Early examples that showed the importance of designing ethologically relevant tasks came from studies of learning in rats. For example, rats learned classical-conditioning-avoidance tasks quickly when food was associated with nausea-inducing
Species-specific characteristics of behaviour
Differences in learning abilities between species are inevitable because each species faces different problems in nature. As Kamil and Maudlin indicate, ‘The effects of a learning procedure upon a species will depend on how the learning paradigm makes contact with the adaptations and response repertoire of the animal’10. Consider the performance of various rodent species that have been tested on the Morris water maze, a spatial- and relational-learning task originally designed for rats that
Designing the right task for the right species
Understanding of the species' natural history would allow the experimenter to design an ethologically appropriate task by predicting what sort of motor responses might occur, what kind of stimuli the experimental subjects were more sensitive to and what type of cognitive constraints characterized their learning abilities. There are numerous examples of species specificity in motor responses and the salience of associating the appropriate stimulus and response, for example, rats learn to
Factors that affect exploratory behaviour
The common feature of spatial learning tests applied in recent studies of the molecular neurobiology of learning, apart from the fact that they were intended to reveal hippocampal dysfunction, is that they represent novel situations in which exploratory behaviour is evoked. Exploratory behaviour, however, is a complex response to novelty that results from a compromise between the motivation to gather information about the surroundings and the need to avoid predators28, 29. Laboratory conditions
The advantage of combining field and laboratory studies
Throughout this review, the importance of considering the natural behaviour of the animal when designing behavioural tests has been emphasized. In order to design ethologically appropriate tests for the species in question, information is needed about how these animals perform under naturalistic conditions. Surprisingly, it is only very recently that such an approach has been adopted to study hippocampal function in rodents in their natural environment38, 39. It would be illuminating to
Concluding remarks
Although it is tempting to employ a general behavioural assay for investigating phenotypical changes that a single-gene manipulation might have caused, the studies cited above demonstrate that we need to consider the ethological relevance of the tasks for the species in question and that we might need to modify existing tests or design new ones, depending on the question asked and the genetic manipulation that we employ. While the importance of using ethologically relevant tasks does not imply
Acknowledgements
We thank Pam Banta, Wim Crusio, Tony Dickinson, Dan Griffiths, Martin Kavaliers, Sandra Kelly, Pierre Lavenex and Stephen Maxson for their useful comments on an earlier version of this review and Kevin Ling for video processing. Financial support for our research comes from GENENTECH (to R.G.) and NIH, Whitehall Foundation, AFAR and NIA (to N.S.C.).
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