fMRI Experiment Reveals Striking Differences in How Dog and Human Brains Process Faces

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Dogs on fMRI

Researchers at the department of Ethology at Eötvös Loránd University trained the dogs so they are capable of scanning the brains of awake, unrestrained dogs. Credit: Eniko Kubinyi / Eötvös Loránd University

Scientists discover striking similarities and differences in how dog and human brains process visual information about others.

Researchers of the Department of Ethology at Eötvös Loránd University, Hungary, discovered striking similarities and differences in how dog and human brains process visual information about others. The study was published in The Journal of Neuroscience on the 5th of October, 2020.

Faces are central to visual communication in humans, who possess a dedicated neural network for face processing. Although dogs also pay attention to faces, excel at eye contact and at reading facial emotion, they also rely on additional bodily signals to communicate. Are dog brains specialized for face processing like human brains?

To explore similarities and differences in dog and human brain response to visual information about others, researchers tested twenty dogs and thirty humans in the same functional magnetic resonance imaging (fMRI) experiment. Dogs and humans viewed short movies of dog and human faces and, for comparison, of dog and human back-of-the-heads. Notably, this research is the first directly comparative, noninvasive visual neuroimaging study of a non-primate and a primate species.

Video abstract of the research:

The study was implemented as a multisite effort: researchers teamed up from two of the world’s very few laboratories capable of scanning the brains of awake, unrestrained dogs (Department of Ethology, Faculty of Sciences, Eötvös Loránd University, Budapest, Hungary and Institute of Neurobiology, National Autonomous University of México, Querétaro, Mexico), to collect brain response data from more dogs than was done in most dog fMRI studies to date.

Regarding similarities, the study identified brain areas in both dogs and humans that differentially responded to videos depending on whether it was showing an individual from their own species. “Earlier, our research group already showed a similar correspondence between dog and human brains for voice processing. We now see that species-sensitivity is an important organizing principle in the mammalian brain for processing social stimuli, in both the auditory and the visual modality” — explains Attila Andics, senior author of the study.

Dog in fMRI During Research

Dogs and humans viewed short movies of dog and human faces and, for comparison, of dog and human back-of-the-heads. Credit: Eniko Kubinyi / Eötvös Loránd University

Regarding differences, the study found no brain areas in dogs that encode whether the viewed image is a face or a back-of-the-head — whereas in humans this is a crucial distinction. “A preference analysis of the brain response patterns confirmed that in dogs, conspecific-preference is primary over face-preference and in humans, face-preference is primary over conspecific-preference. This is an essential difference. It demonstrates that there can be substantial dissimilarities in cortical specialization for face perception across mammals. Actually, these findings also shed new light on previous dog fMRI studies claiming to have found ‘face areas’: we now think that the stronger activity to dog faces in those studies indicated dog-preferring rather than face-preferring brain areas” — explains Nóra Bunford, shared first author of the study and coordinator of the data collection in Hungary.

Dog in fMRI

Dogs are trained to stay still during the fMRI examination. Credit: Eniko Kubinyi / Eötvös Loránd University

Researchers also identified dog and human brain regions that showed a similar activity pattern in response to the videos. “This so-called representational similarity analysis can directly compare brain activity patterns across species. Interestingly, similarities between dog and human activity patterns were stronger for what we named functional matching (comparing activity for dog face in the dog brain to activity for human face in the human brain), than for physical matching (comparing activity for dog face in the dog brain to activity for dog face in the human brain). This shows that here we may have tapped into high-level categorical processing of social information rather than low-level visual processing, in dogs as well as in humans” — explains Raúl Hernández-Pérez, the other first author of the study and coordinator of the data collection in Mexico.

“Together, the similarities in species-sensitivity and the dissimilarities in face-sensitivity suggest both functional analogies and differences in the organizing principles of visuo-social processing across dogs and humans. This is another demonstration that comparative neuroimaging with phylogenetically distant mammalian species can advance our understanding of how social brain functions are organized and how they evolved” — summarizes Andics.

Reference: “Comparative Brain Imaging Reveals Analogous and Divergent Patterns of Species- and Face-Sensitivity in Humans and Dogs” by Nóra Bunford, Raúl Hernández-Pérez, Eszter Borbála Farkas, Laura V. Cuaya, Dóra Szabó, Ádám György Szabó, Márta Gácsi, Ádám Miklósi and Attila Andics, 5 October 2020, The Journal of Neuroscience.
DOI: 10.1523/JNEUROSCI.2800-19.2020

This study was published in The Journal of Neuroscience titled “Comparative brain imaging reveals analogous and divergent patterns of species- and face-sensitivity in humans and dogs,” written by Nóra Bunford, Raúl Hernández-Perez, Eszter Farkas, Laura Cuaya, Dóra Szabó, Ádám Szabó, Márta Gácsi, Ádám Miklósi, and Attila Andics. The study and the researchers were funded by the Hungarian Academy of Sciences (Lendület program LP2017-13/2017, LP2018-3/2018; and F01/031), the Mexican National Council of Science and Technology (CONACYT; 409258 and 407590), the National Research, Development and Innovation Office (115862K), the Ministry of Human Capacities of Hungary (ÚNKP-17-4-ELTE/12423/11), the European Research Council (ERC; 680040), the Eötvös Loránd University (ELTE), and the National Brain Research Program (2017-1.2.1-NKP-2017-00002).





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