Showing posts with label emotions. Show all posts
Showing posts with label emotions. Show all posts

Tuesday, August 11, 2026

Dogs may be better at visually interpreting human emotions than anyone expected

Amazing stuff!

I always believed that dogs do not have a good eyesight. "Dogs have lower visual acuity than humans, averaging around 20/75 vision, meaning a dog must be 20 feet away to see an object as clearly as a human can from 75 feet away. While they lack fine detail and full color spectrums, they excel at detecting motion and seeing in dim light." (Google Search)

"In a new study, researchers trained a group of family dogs to lie still inside an MRI machine while showing them pictures of strangers with either happy or neutral expressions. Images of smiling human faces consistently lit up the temporal cortex and caudate nucleus, which are regions of the brain associated with reward and other functions like learning and emotion.
In a second experiment, the researchers showed dogs pictures of people displaying happiness, fear, anger, and sadness.

Analysis of the animals’ brain activity revealed distinct patterns separating fear from anger and sadness, suggesting that dogs can tell the difference between certain negative facial expressions. “Our results suggest that dogs’ brains can differentiate between some facial expressions as distinct categories, rather than merely detecting that one expression is more positive or negative than another,” ..."

From the highlights and abstract:
"Highlights
Happy human faces elicit right frontotemporal-caudate responses in dogs
• Dog brain response patterns distinguish happiness from negative facial expressions
• Whole-brain response patterns differentiate some pairs of negative facial expressions
• Dog brains represent human facial expressions beyond positive-negative valence

Summary
Dogs can distinguish human facial expressions, particularly happiness, yet brain processes remain unclear.
Using fMRI, we conducted two experiments in awake pet dogs.
In Experiment 1 (n = 8), happy faces elicited a stronger response than neutral faces in a right temporal cluster extending to the caudate nucleus, including the rostral Sylvian gyrus.
In Experiment 2 (n = 12), dogs viewed faces expressing happiness, anger, fear, or sadness.
Using the Experiment 1 cluster as a region of interest, a machine-learning classifier distinguished happiness from each negative facial expression, but not between negative pairs, showing differential BOLD responsiveness to happy faces.
Whole-brain representational similarity analyses revealed activity patterns differentiating angry vs. fearful faces (right mid ectosylvian and left splenial gyri) and sad vs. fearful faces (right rostral suprasylvian gyrus) but not angry vs. sad faces.
This provides direct evidence that dog brains can distinguish between two negative facial expressions."

ScienceAdviser

Dogs can tell if you’re angry, scared, or sad "Our canine companions may really understand what we're going through, new study suggests"



Figure 1 Functional localizer for happy human faces > neutral human faces (n = 8)


Monday, June 02, 2025

Study reveals how negative sensory experiences trigger lasting emotions in humans and mice akin to a "piano sustain pedal"

Amazing stuff! Now you know what these scientists do in their spare time! 😊

"... Neuroscientists and psychiatrists, despite their best efforts, don’t understand nearly enough about the brain activity underlying our emotions, how they make us tick, and how they can make us sick.

Now, in a study ... investigators have mapped the brainwide neuronal processing that underlies the emotional response triggered by a mildly unpleasant sensory experience. Features of this brain activity turn out to be shared by humans and mice ...

The findings could help unveil some of the driving forces behind numerous neuropsychiatric disorders, which are characterized in large part by troublesome emotional manifestations. ..."

From the abstract of the Perspective:
"... Whether fleeting or lasting, emotions influence perceptions, behavior, and decisions well beyond the experience that set them in motion. Yet very little is known about how the brain holds onto these internal states. Explaining the biological basis of their enduring nature is crucial for building a mechanistic understanding of emotion. ... Kauvar et al. (1) report an evolutionarily conserved brainwide response to an emotional stimulus that serves as the early-stage neural substrate of an emotion state. Thus, they identify a fundamental process that may help explain how emotions emerge."

From the editor's summary and abstract:
"Editor’s summary
Many animal species have been shown to display distinct emotional states. However, little is known about the neuronal mechanisms underlying the emergence of emotional responses to discrete events. Kauvar et al. performed parallel behavioral, pharmacological, and electrophysiological experiments in mice and humans and identified evolutionarily conserved brain signals forming a basis of sensory and emotional processing of salient aversive stimuli ... After stimulus-specific (sensory) information is rapidly disseminated throughout the mammalian brain, a slower and more persistent (emotional) activation of brainwide networks occurs. These translational results enhance our understanding of the neural substrates of affective states across species. ...

Structured Abstract
...

RATIONALE
To identify broadly conserved patterns of neural activity, we first developed unbiased brain-wide activity screens spanning widely divergent mammalian species. Specifically, we explored when, where, and how emotional states emerge, using high-speed, invasive, and global methods in human and mouse subjects carrying out the same task. While recognizing and leveraging the value of obtaining verbal descriptions of subjective emotional experience from human subjects for this question, we also explicitly bridged human and mouse systems with temporally precise affective behavioral measures, clinically compatible pharmacological interventions, and deep brain-spanning intracranial electrophysiological readouts, designed to be similarly carried out in parallel in both human and mouse subjects, to investigate conserved principles underlying the emergence of lasting emotional states from brief sensory input.

RESULTS
We determined that sequences of air puffs, directed at the cornea of human or mouse subjects, elicit both fast/reflexive and sustained/affective eye closure behaviors; the latter (in both species) is characterized by negative valence, persistence, generalization, and ablation by the dissociative agent ketamine. We performed a brain-wide neural activity screen of this temporally precise behavioral response, using intracranial stereo-electroencephalography (iEEG) in humans and multiprobe Neuropixels single-unit electrophysiology in mice. This brain-wide screen revealed a biphasic process in which emotionally salient sensory signals are swiftly broadcast throughout the mammalian brain and directly followed by a slower and widely distributed persistent signal.
We discovered that the persistent signal could be selectively and similarly blocked by ketamine while preserving the fast sensory broadcast in both species, and that emergence of a behaviorally defined emotional state could be selectively blocked by this intervention.
We found that the accumulation and decay pattern of persistent population neural activity was consistent with first-order system dynamics, and that the dose-dependent pharmacological impact on the emotional response could be well-modeled by varying a single decay timescale parameter, with emotion-blunting dissociative drugs accelerating the decay.
We furthermore found (in both humans and mice) that ketamine accelerated the intrinsic timescale of baseline spontaneous activity and reduced brain-wide population coupling in networks with puff-triggered persistent activity.
Control experiments in mice with a neutral auditory stimulus (while operating on faster timescales than emotionally salient stimuli) revealed that the pharmacological effect of sharpening response dynamics and reducing capacity to maintain persistent information across the brain was generalizable, highlighting the importance of signal persistence in the establishment of brain-wide responses.

CONCLUSION
We find that mammalian emotional states, in a conserved pattern spanning divergent species, are integrated from sensory experiences through persistent activity dynamics that can be shaped by a global and tunable intrinsic timescale, akin to the action of a piano sustain pedal. Functioning as a distributed neural context, adaptive emotional states appear to depend upon brain-wide mechanisms of signal persistence in specific networks.
Furthermore, consistent with our measurements of intrinsic timescale modulation by clinically relevant intervention, aspects of the etiology and treatment of certain neuropsychiatric disorders may be governed by altered stability of brain states linked to maladaptively fast or slow intrinsic timescales."

Study reveals how sensory experiences trigger lasting emotions | Stanford Report "Scientists found that humans and mice share persistent brain-activity patterns in response to negative sensory inputs – offering insight into emotion and potential links to neuropsychiatric disorders."

A wave of emotion (no public access) "Sustained brainwide patterns of activity enable emotions to outlast their triggers"



Brain-wide emergence of emotional response in humans and mice.


Monday, September 02, 2024

Finding love: Study reveals where love lives in the brain for six different types of love

Amazing stuff! Very impressive! 

Maybe it takes Finnish scientists finishing the quest to find love in the brain. Just kidding!

In short: Love is everywhere! These scientists were having a love affair of sorts! 😊

"... ‘The activation pattern of love is generated in social situations in the basal ganglia, the midline of the forehead, the precuneus and the temporoparietal junction at the sides of the back of the head.’ 

Love for one’s children generated the most intense brain activity, closely followed by romantic love. ..."

From the abstract:
"Feelings of love are among the most significant human phenomena. Love informs the formation and maintenance of pair bonds, parent-offspring attachments, and influences relationships with others and even nature. However, little is known about the neural mechanisms of love beyond romantic and maternal types. Here, we characterize the brain areas involved in love for six different objects: romantic partner, one’s children, friends, strangers, pets, and nature. We used functional magnetic resonance imaging (fMRI) to measure brain activity, while we induced feelings of love using short stories. Our results show that neural activity during a feeling of love depends on its object. Interpersonal love recruited social cognition brain areas in the temporoparietal junction and midline structures significantly more than love for pets or nature. In pet owners, love for pets activated these same regions significantly more than in participants without pets. Love in closer affiliative bonds was associated with significantly stronger and more widespread activation in the brain’s reward system than love for strangers, pets, or nature. We suggest that the experience of love is shaped by both biological and cultural factors, originating from fundamental neurobiological mechanisms of attachment."

Finding love: Study reveals where love lives in the brain

Finding love: Study reveals where love lives in the brain (original news release) "Researchers have taken looking for love to a whole new level, revealing that different types of love light up different parts of the brain."

Six types of loves differentially recruit reward and social cognition brain areas (open access)


The image represents a statistical average of how different types of love light up different regions of the brain.



Saturday, July 30, 2022

Do Invertebrates Have Emotions?

Recommendable! This is a comprehensive overview article. Why should emotions be confined to vertebrates? How necessary is a nervous system or are there alternatives?

"... Decades ago, scientists and lawmakers had all but reached a consensus that invertebrates could not feel pain, let alone other emotions like joy or fear. Recently, however, evidence is mounting that invertebrates are more than just reflexive beings. Experiments in bees, crabs, and octopuses show that some invertebrate animals can learn from painful experiences, have positive and negative emotion-like states, and might even experience a range of other emotions beyond pain and pleasure. ...
Still, many scientists remain extremely skeptical, and the question of whether invertebrates can experience emotions is hotly debated. ..."

From the abstract:
"If the UK joins a handful of other nations to recognize the sentience of invertebrates, such as cephalopod mollusks and decapod crustaceans, by, for example, prohibiting the boiling of live lobsters, this will be based on evidence that emotions and felt experiences (i.e., sentience) are not limited to animals close to humans, such as the mammals. This topic has been heavily debated in both affective neuroscience (how to define an emotion?) and philosophy (what is the moral relevance of animal experiences?), but a consensus on the criteria for and implications of recognizing animal sentience seems to be emerging"

Do Invertebrates Have Emotions? | The Scientist Magazine® And how do scientists go about answering that question?

The question of animal emotions (no public access) Do animals, including invertebrates, have felt emotions and does this morally matter?

Sunday, July 07, 2013

More Advances In Mind Reading

Update

American Scientific just (10/23/2013) published a lengthy article about this subject here.

Trigger

Carnegie Mellon University reports more progress in computers reading human emotions based on neural activation patterns. Read here or here.

Excerpt from the abstract of the above PLOS paper (Emphasis added): “Method[:] actors were asked to self-induce nine emotional states (anger, disgust, envy, fear, happiness, lust, pride, sadness, and shame) while in an fMRI scanner. Using a Gaussian Naïve Bayes pooled variance classifier, we demonstrate the ability to identify specific emotions experienced by an individual at well over chance accuracy …”