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Andics, A.

Publications and source records attributed to Andics, A..

2 recordsLinked to original sources

Comparative fMRI reveals differences in the functional organization of the visual cortex for animacy perception in dogs and humans

The animate-inanimate category distinction is one of the general organizing principles in the primate high-level visual cortex. Much less is known about the visual cortical representations of animacy in non-primate mammals with a different evolutionary trajectory of visual capacities. To compare the functional organization underlying animacy perception of a non-primate to a primate species, here we performed an fMRI study in dogs and humans, investigating how animacy structures neural responses in the visual cortex of the two species. Univariate analyses identified animate-sensitive bilateral occipital and temporal regions, non-overlapping with early visual areas, in both species. Multivariate tests confirmed the categorical representations of animate stimuli in these regions. Regions sensitive to different animate stimulus classes (dog, human, cat) overlapped less in dog than in human brains. Together, these findings reveal that the importance of animate-inanimate distinction is reflected in the organization of higher-level visual cortex, also beyond primates. But a key species difference, that neural representations for animate stimuli are less concentrated in dogs than in humans suggests that certain underlying organizing principles that support the visual perception of animacy in primates may not play a similarly important role in other mammals.

neuroscience↗

Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks

Resting-state networks are spatially distributed, functionally connected brain regions. Studying these networks gives us information about the large-scale functional organization of the brain and alternations in these networks are considered to play a role in a wide range of neurological conditions and aging. To describe resting-state networks in dogs, we measured 22 awake, unrestrained animals of either sex and carried out group-level spatial independent component analysis to explore whole-brain connectivity patterns. Using resting-state functional magnetic resonance imaging (rs-fMRI), in this exploratory study we found multiple resting-state networks in dogs, which resemble the pattern described in humans. We report the following dog resting-state networks: default mode network (DMN), visual network (VIS), sensorimotor network (SMN), combined auditory (AUD)-saliency (SAL) network and cerebellar network (CER). The DMN, similarly to Primates, but unlike previous studies in dogs, showed antero-posterior connectedness with involvement of hippocampal and lateral temporal regions. The results give us insight into the resting-state networks of awake animals from a taxon beyond rodents through a non-invasive method.

neuroscience↗