Hans-Peter Lipp
hplipp@anatomie.unizh.ch
Institute of Anatomy, University
of Zürich
Factor analysis of water
maze learning in the Morris maze (see David P. Wolfer) reveals that a major
source of behavioral variation in this task is thigmotaxis. Although statistically
independent of probe trial measures, strong thigmotaxis can confound measures
of spatial retention. But what means variations of thigmotaxis?
Many knockout mutations
entail differential phenotypes: this is known as pleiotropy and means that
a group of mutants may contain animals in which thigmotactic behavior is
different, plus another group in which the mutation affects spatial memory
as assessed by probe trial scores.
Our data show that there
are many mice which learn the platform in the single first trial which
is sufficient to establish a spatial map. Subsequent variations in learning
performance and probe trials must then reflect the influence of confounding
factors, e.g., of thigmotaxis. This is often considered as a simple fear/stress
response. However, our data from 3000 mice indicate that this holds only
for the very first trials. Prolonged thigmotaxis, however, probably reflects
reduced behavioral flexibility or another cause of inability to switch
to an appropriate classical search strategy. There will be examples to
show that even excessive thigmotaxis does not prevent the formation of
spatial memory.
Analyzing the roots of thigmotaxis
in genetically modified mice is extremely difficult, and it is even more
difficult to decide whether the hippocampal formation is affected or involved.
Obviously, one approaches the limits of the classical bottom-up approach
in analyzing the genotype-to-phenotype pathway.
Thus, I shall present a
tentative solution to the riddle by presenting our classical top-to-bottom
approach based on the analysis of the intra/infrapyramidal mossy fiber
projection (IIP-MF) and their relations to hippocampus-dependent (and hippocampus-mediated)
learning and innate behavior of mice. In brief, the extent of the IIP-MF
correlates often with hippocampus-dependent learning tasks (negatively
with two-way avoidance, positively with radial maze learning and open-field
habituation, and positively with place reversal learning in the water maze).
The general picture is that mice with scanty IIP-MF projections behave
as they would suffer from a very mild hippocampal lesion syndrome. Using
the genetic variation of the IIP-MF system as a marker of hippocampal involvement,
we and others investigated the role of IIP-MF variations in more naturalistic
behavior such as attack latency towards intruders, and in non-learned behavior
such as paw preference. Somewhat surprisingly, animals with small IIP-MF
projections showed reduced paw lateralization and shortened attack latencies.
These findings caused us
to study the effects of natural selection on the IIP-MF projection in mice
exposed to 4 years live in outdoor pens in western Russia. This resulted,
after 3-5 generations of outdoor life, in a significant reduction of the
IIP-MF projection as compared to animals housed conventionally. Latest
results show that this difference is genetic. In addition, we studied IIP-MF
projections in a variety of small mammals. Results imply that the IIP-MF
co-vary positively with encephalisation, complexity of environment, and
a hunting lifestyle. Taken together, the data imply that one basic function
of the hippocampus (and perhaps associated neocortex) is to maintain complex
behavior patterns under conditions of stress and multiple sources of interference.
Some specific environments appear to select a behavioral phenotype characterized
by hyper-reactivity and poorer performance in complex tasks, for example
in root voles and in the house mice living in a ghetto situation. This
conclusion was then tested in the water maze by comparing two vole species
with differential IIP-MF projections and complex versus simple environments
(bank voles versus root voles).
Predictions were derived
from re-analyzing our old IIP-MF data and water maze learning. This showed
a significant negative correlation between thigmotaxis, and a positive
correlation with the ability to find a relocated platform. Predictions
were confirmed as the bank voles with larger IIP-MF showed perfect water
maze learning, including better ability of reversal learning. Root voles
(with almost missing IIP-MF) showed excessive thigmotaxis and less efficient
reversal learning. Probe trial scores were at chance level (as in the worst
KO-mice), but the analysis showed that they had nonetheless developed a
spatial memory.
Hence, by combining a bottom-up
approach based on analysis of KO-mice with a top-to-bottom approach in
the laboratory and the field, we can conclude that variations of thigmotaxis
reflect, indeed, a basic hippocampal function, namely stabilization of
ongoing complex behavioral patterns. This property is probably not hippocampus-specific,
but is behaviorally sensitive to a variety of genetic and epigenetic factors
because of the critical position of the hippocampus in linking proximally
connected neocortical association areas with hypothalamus, mesolimbic structures,
reticular formation and associative thalamus.
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