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Dogs understand human emotions through facial expressions: study

A team from the University of Vienna scanned the brains of several dogs to reveal how the animals’ brains respond differently depending on humans facial expressions,

Dogs understand human emotions through facial expressions: study

A recent study from the University of Vienna has revealed that dogs can identify certain human emotions through facial expressions. Researchers scanned the brains of eight dogs, six border collies, a labrador and a golden retriever, to observe how the animals' brains reacted to humans with either happy or neutral facial expressions.

The happy expressions triggered a stronger response in a region of the canine brain compared to neutral faces, which were only activated in the caudate nucleus, an area also activated by representations of "food reward" and "familiar scents."

Further experiments included 12 dogs, comprising one mixed breed, three golden retrievers, and eight border collies. These dogs were shown images of people expressing happiness, anger, fear, or sadness. The results showed distinct activity patterns in the dogs' brains that differentiated sad faces from fearful ones, and angry faces from fearful ones. However, there was no evidence that the dogs could distinguish angry faces from sad ones. Fearful expressions were found to stand out from other negative emotions.

Senior author Laura Cuaya emphasized the importance of understanding dogs as emotional beings who have evolved to recognize human expressions and cooperate with us. This study is the first to provide direct evidence that dogs' brains can distinguish between two human faces displaying different negative expressions. The researchers caution that dogs outside loving family environments may respond to human emotional cues differently.

Future research will explore how dogs integrate additional cues, such as voice nuances, body language, and scent, to interpret humans around them.

Written by urgent.news from Global News's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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