Resting state networks have been characterized in numerous mammals covering human, non-human primates, dogs, rabbits and rodents, though only ever at single semi-arbitrary levels of complexity. In humans, resting state networks analyses have been extended to extracting networks of varying complexity, representing different levels of a possible “functional hierarchy”. We performed the first study of “functional hierarchy” in animals. We focused on the gray mouse lemur (Microcebus murinus), a small primate attracting increased attention as a model for cerebral and age-related disorders.
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