Brain scans provide world‑first evidence dogs can distinguish between human fear and sadness

Mia Cobb, The University of Melbourne

What causes a dog to slink away from a cranky person, when they will quietly approach and lean against someone who is weeping? We’ve all seen it – they can respond to our feelings. And science agrees dogs have emotions too.

These social skills could underpin dogs’ success in living with us. But do you think your dog could tell an angry person’s face from a sad or fearful one?

New research published in the journal iScience explored that question, and revealed interesting findings from magnetic resonance imaging (MRI) scans of dogs’ brains.

Scanning dogs’ brains

Dogs are sensitive to human faces. They look longer in response to our emotional expressions and sounds compared with neutral ones.

Scientists weren’t sure whether dogs were just differentiating “good mood” (happy) from “bad mood” (angry, fearful or sad), or treating these expressions as genuine indicators of different emotions.

The new study, by Raúl Hernández-Pérez, a neuroscientist at the University of Vienna, and colleagues, explored this gap using MRI to scan pet dogs’ brains while they were viewing photos of human faces.

Building on their earlier work, the researchers found evidence that dogs do process images of our distinct emotional expressions differently.

The researchers used machine learning and showed that when looking at a dog’s whole brain, a different brain region was activated to distinguish between fear and sadness (the right rostral suprasylvian gyrus, to be precise), than between fear and anger (this was in the right mid ectosylvian gyrus and left splenial gyrus).

The analysis didn’t detect a difference in the brain areas activated when dogs were shown images of human anger and sadness. Fear stood out from the other negative emotions.

This raises the question: why?

It might be that fear and anger are simply more attention-grabbing than sadness.

Other research has found dogs react to fear and anger faster, and with a bigger physical response, such as a raised heart rate. This is likely because they’re the expressions most likely to call for a quick response from dogs to stay safe.

Sadness is less likely to pose a direct threat to dogs living with people, so they experience less urgency to respond to it. We know some dogs don’t respond with the heroic Lassie behaviour we might like when we are in distress.

Although the numbers in this new research were small (eight and twelve dogs across the two parts of the study), this is the first MRI-based proof-of-concept evidence that dog brains can distinguish between two human facial expressions of distinct negative emotions. It indicates dogs’ neural representation of our emotion goes beyond a simple valence (good/bad) split.

This shows us that perceiving emotion in others (even across species) isn’t handled by one single “emotion centre” in the brain – in dogs, in humans, or in other animal species. It’s spread across a network of regions working together as part of living socially.

A sense-ational result

The authors of this study point out that using still images of humans is a very people-centred way to explore how dogs interpret our emotional states.

We know dogs live in rich sensory worlds where the scent and sound of our speech also convey emotions, shaping how dogs respond to us.

In fact, even wolves who have grown up around people show the same kind of response to the odour of human fear as dogs. This highlights the important role of learning, as distinct from evolutionary differences in canid bodies or how they respond to people. Dogs (and wolves) are learning about us in every interaction we have with them.

Dogs are adept at watching, smelling, and listening to our emotions, learning how these signals predict our behaviours toward them, and using this information to live with people harmoniously.

Returning the favour, learning more about how dogs express their emotions seems like the least we can do.The Conversation

Mia Cobb, Research Fellow, Animal Welfare Science Centre, The University of Melbourne

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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Dogs can detect trafficked wildlife hidden in shipping containers from tiny air samples

Georgia Moloney, Adelaide University and Anne-Lise Chaber, Adelaide University

Wildlife trafficking is a global crisis impacting at least 4,000 species of plants and animals, including mammals, reptiles, birds, corals and rare plants.

A shocking case from 2025 involved the seizure of 3.7 tonnes of pangolin scales in Nigeria. These scales were believed to be sourced from more than 1,900 individual pangolins.

While this case was uncovered, many more remain undetected. These crimes aren’t just pushing species toward extinction, they’re also putting people at risk. Hunting, trafficking and handling wild animals creates opportunities for diseases to jump from animals to humans. Wildlife trafficking is therefore not just a conservation crisis, but a serious threat to public health.

In our recent paper published in Conservation Biology, we present a new method for tackling this global crime. It uses a tiny sample of air extracted from a shipping container – and the incredible power of a dogs’ nose.

Traffickers exploit shipping routes

People buy and sell a wide range of wild animals and their parts for many reasons, such as pangolin scales for traditional medicines, monkeys for exotic pets, or even porcupines for bushmeat.

Traffickers exploit global transport routes to move their products, with shipping containers in particular being ideal targets.

Containers carry up to 90% of the world’s cargo, meaning products can be easily concealed and blend into the high volume of container traffic moving through ports.

Despite this, on average only about 2% of containers are physically inspected due to resource limitations.

There are few wildlife specific detection tools, and wildlife crime is often considered a low priority. Combined, this means most trafficking slips through undetected.

Bringing the scent to the dog

To bridge this gap, we investigated air sampling as a way to screen containers for wildlife without opening them, damaging cargo, or disrupting port operations.

This work was part of a four-year project, undertaken in collaboration with the world’s third largest shipping company CMA CGM.

We designed a portable air extraction device that fits onto a standard container vent and draws air through a filter to collect a sample. The sample is then presented to a trained detection dog which can indicate whether the scent of specific wildlife products is present.

In our study, we concealed pelts from five big cat species – lion, tiger, leopard, snow leopard and cheetah – inside standard-sized shipping containers. The pelts were arranged to simulate smuggling scenarios, including being hidden inside cardboard boxes to increase concealment.

Our detection dog successfully detected the pelts with almost 98% accuracy when air was extracted from the shipping container. They did so even when the pelts were concealed, demonstrating that the scent can escape into the container airspace and be reliably captured.

Detection dogs are already widely used by customs and border agencies around the world, but their ability to screen sealed containers at scale is limited. Containers are often inaccessible, stacked high, or in environments that are unsafe for dogs.

Our approach brings the scent to the dog, allowing many more containers to be screened efficiently and safely.

While the study was conducted under controlled conditions, these early results are encouraging. Pairing detection dogs with air-sampling could dramatically improve the detection of illegally trafficked wildlife hidden inside shipping containers.

The air extraction device is low cost, portable and scalable, making it well suited for use in high-risk ports and border crossings worldwide. The method could also be readily adapted for detecting other forms of trafficking, such as drugs, increasing its appeal to border agencies.

Disrupting criminal networks

Further trials are planned to validate the effectiveness of this approach in operational port environments across a broader range of wildlife products.

We are also exploring machine-based detectors to analyse samples and support the future development of this project.

However, initial findings show the dogs still outperform these technologies, which currently remain our most effective approach.

Our goal is to give frontline agencies practical tools to fight wildlife trafficking.

Through applying science-based research in the field, we can bridge enforcement gaps and detect trafficked wildlife faster, allowing us to better protect threatened species and disrupt the criminal networks behind this devastating trade.The Conversation

Georgia Moloney, Researcher, School of Animal and Veterinary Sciences, Adelaide University and Anne-Lise Chaber, One Health Lecturer, School of Animal and Veterinary Science, Adelaide University

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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