A method is presented to test the relationship between a phylogenetic
tree derived from brain morphology, and different hypotheses describin
g the evolution of a behavioral trait. This is a question of interest
for evolutionary psychologists and behavioral biologists. The paper fi
rst discusses how hypotheses for behavioral evolution should be coded
for such a comparison, then a triple-permutation test, originally prop
osed to compare independently obtained evolutionary trees, is used for
the statistical assessment of each hypothesis. Non-parametric correla
tion coefficients computed between brain components and appropriately
coded behavioral states can then be used to suggest what brain compone
nts are responsible for the development of the various states of the b
ehavioral trait of interest. The procedure is illustrated with three d
ifferent applications relating brain evolution to habitat selection in
marsupials, locomotory specialization in primates, and trophic adapta
tion in bats.