The Conversation: A UF neuroscientist explains the science of pain

This article is republished from The Conversation's Curious Kids series under a Creative Commons license.

Nov 25, 2025

4 min

Yenisel Cruz-Almeida



Nobody likes to feel pain, but it’s something every person will experience at some point in their life.


But why is that?


I am a neuroscientist, and my job is to research why and how people feel pain in order to help doctors understand how to treat it better.


What is pain?

To understand why people feel pain, it helps first to understand what pain is. Pain is the unpleasant sensation you feel when your body is experiencing harm, or thinks it is.


Not everyone experiences pain the same way. Pain is a highly personal experience influenced by a variety of biological, psychological and social factors. For example, research has shown differences in the pain experiences of women and men, young and older people, and even across people from different cultures.


Danger signals

A network of nerves similar to wires runs all through the human body, from the tips of your fingers and toes, through your back inside the spinal cord and up to your brain. Specialized pain receptors called nociceptors can be found at the end of the nerves on your skin, muscles, joints and internal organs.


Each nociceptor is designed to activate its nerve if it detects a danger signal. One way scientists classify nociceptors is based on the type of danger signal that activates them.


Mechanical nociceptors respond to physical damage, such as cuts or pressure, while thermal nociceptors react to extreme temperatures. Chemical nociceptors are triggered by chemicals that the body’s own tissues release when they are damaged. These receptors may also be triggered by external irritants, such as the chemical capsaicin, which gives chili peppers their heat. This is why eating spicy food can cause you pain.


Finally, there are the nociceptors that are activated by a combination of various triggers. For example, one of these receptors in your skin could be activated by the poke of a sharp object, the cold of an ice pack, the heat from a mug of cocoa, a chemical burn from household bleach, or a combination of all three kinds of stimulation.


How pain travels though the body

When you fall and get a scrape, the mechanical nociceptors in your skin spring into action. As soon as you hit the ground, they activate an electrical signal that travels through the nearby nerves to the spinal cord and up to your brain. Your brain interprets these signals to locate the place in your body that is hurting and determine how intense the pain is.


Your brain knows that a pain signal is an SOS message from your body that something isn’t right. So it activates multiple systems all at once to get you out of danger and help you survive.


Your brain may call on other parts of your nervous system to release chemicals called endorphins that will reduce your pain. It may tell your endocrine system to release hormones that prepare your body to handle the stress of your fall by increasing your heart rate, for example. And it may order your immune system to send special immune cells to the site of your scrape to help manage swelling and heal your skin.


As all of this is happening, your brain takes in information about where you are in the world so that you can respond accordingly. Do you need to move away from something hurting you? Did you fall in the middle of the road and now need to get out of the way of moving cars?


Not only is your brain working to keep you safe in the moments after your fall, it also is looking ahead to how it can prevent this scenario from happening again. The pain signals from your fall activate parts of your brain called the hippocampus and anterior cingulate cortex that process memory and emotions. They will help you remember how bad falling made you feel so that you will learn how to avoid it in the future.


But why do we need to feel pain?

As this example shows, pain is like a warning signal from your body. It helps protect you by telling you when something is wrong so that you can stop doing it and avoid getting hurt more.


In fact, it’s a problem if you can’t feel pain. Some people have a genetic mutation that changes the way their nociceptors function and do not feel pain at all. This can be very dangerous, because they won’t know when they’re hurt.


Ultimately, feeling that scrape and the pain sensation from it helps keep you safe from harm.


Yenisel Cruz-Almeida is a UF Associate Professor of Community Dentistry and Associate Director of the Pain Research & Intervention Center Of Excellence, University of Florida


This article is republished from The Conversation's Curious Kids series under a Creative Commons license. Read the original article



Connect with:
Yenisel Cruz-Almeida

Yenisel Cruz-Almeida

Associate Professor | Associate Director

Yenisel Cruz-Almeida's research is focused on understanding age-related pain perception and pain management.

Chronic PainTranslational Pain ResearchPainPain related to age
Powered by

You might also like...

Check out some other posts from University of Florida

2 min

Chasing followers makes crypto traders perform worse on social investment sites

Whether excited about gaining new followers or desperate to win back lost subscribers, investors who saw changes to their subscriber count performed worse than before their subscribers changed, according to a new study. The research tracked performance on social investment sites, where individuals can trade assets like cryptocurrency while attracting audiences based on their performance — like YouTube, but for investments. Both gaining and losing followers led investors to make more frequent, riskier trades. The upshot is that traders performed about 10% worse in the weeks after their subscriber counts changed. “If the number of followers increases a lot, it creates an overconfidence effect. You are more aggressive in trading, and your future trading performance will be worse,” said Liangfei Qiu, Ph.D., a professor in the University of Florida’s Warrington College of Business and co-author of the new study. “So logically we thought that if more followers leads to worse performance, then if we reduce the number of followers, it will reverse the effect, reduce overconfidence and lead to higher trading performance,” Qiu said. “But that’s not what we found. If we reduce the number of followers, they trade even more aggressively and their trading performance becomes even worse.” Qiu and his collaborators at the University of Maryland and University of Washington worked directly with an anonymous social trading platform to examine the impact of gaining or losing followers on traders’ cryptocurrency trading behavior and performance. The research revealed the power of social pressure. This study was focused on cryptocurrency, which is highly volatile and may exacerbate the risk of social trading. But social trading also exists for traditional investments like stocks and bonds, and chasing followers could hurt these types of investments, too. The researchers say that both platforms and investors should guard against the downsides. “If platforms emphasize the social functions too much, it might backfire. Eventually it will hurt the long run performance of the platform,” he said. “The investors should realize their inherent bias and make sure their trading strategies are not too affected by social attention.”

4 min

With the MOMitor™ app, Florida mothers have better maternal care right at their fingertips

A program spearheaded by University of Florida physicians recently expanded to improve care for new mothers throughout the state, using tools they have right at home. Five years ago, a team of obstetricians and researchers at the UF College of Medicine launched MOMitor™, a smartphone app that allows new mothers to answer health screening questions and check vitals like blood pressure in the comfort of their own homes, using tools given to them by their health care providers. Depending on the data, the clinical team can then follow up with patients as needed for further medical intervention. Now, the app is expanding beyond North Central Florida — where nearly 4,400 mothers have participated in the program — to other areas in the state. Clinicians are also teaming up with data scientists at the College of Medicine who are using artificial intelligence to study data and identify trends that can lead to more personalized care. Program expansion Thanks to funding from the Florida Department of Health to support the state’s Telehealth Maternity Care Program, MOMitor™ has recently expanded for use in Citrus, Hernando, Sumter, Flagler, Volusia, Martin, St. Lucie and Okeechobee counties, said Kay Roussos-Ross, M.D. ’02, MPAS ’98, a UF professor of obstetrics/gynecology and psychiatry who is leading the program. “The Florida Legislature was really motivated and interested in improving maternal morbidity and mortality, and through this program we’re touching additional parts of the state and helping patients beyond North Central Florida,” she said. Maternal mortality is a serious concern in the United States, with more than 18 deaths recorded per 100,000 births in 2023, according to the latest data available from the U.S. Centers for Disease Control and Prevention. This is a much higher rate than most other developed countries, Roussos-Ross said. Common factors that may lead to maternal mortality, which is measured from pregnancy through the first year after giving birth, include infection, mental health conditions, cardiovascular conditions and endocrine disorders. Many of these complications can go unnoticed or unmonitored, particularly if at-risk mothers are not reporting complications to clinicians. A 2025 study published in the Journal of the American Medical Association shows that up to 40% of women do not attend postpartum visits. “By leveraging AI, we have the opportunity to target moms and moms-to-be who might be at greater risk of complications ... and encourage them to participate in the program to mitigate these.” — Tanja Magoc, Ph.D. “Whereas we’re used to seeing patients pretty routinely during pregnancy, after delivery visits quickly drop off and some women don’t make it back for postpartum care, so we may not have an opportunity to continue supporting them,” Roussos-Ross said. “This can often be because of barriers such as housing, transportation or food insecurity. We offer referrals to help with some of these services.” With MOMitor™, patients can let their clinician know how they are recovering without visiting the clinic, improving access to care in situations where that is not always an easy option for new mothers. “It’s a way to be proactive,” Roussos-Ross said. “Instead of waiting for a patient to come to us when they haven’t been doing well for a while, we connect with them through the app and follow up when they initially begin not doing well, so we can address concerns more quickly.” Studying data to personalize care Roussos-Ross’ team is collaborating with data scientists from the College of Medicine’s Quality and Patient Safety initiative, or QPSi, to determine how AI can assist in finding ways to further improve processes. “By leveraging AI, we have the opportunity to target moms and moms-to-be who might be at greater risk of complications, such as developing postpartum depression or hypertension, and encourage them to participate in the program to mitigate these complications,” said Tanja Magoc, Ph.D., the associate director of QPSi’s Artificial Intelligence/Quality Improvement Program. David Hall, Ph.D., a QPSi data scientist, said his team is working alongside the clinical team to analyze data that can be used to create recommendations for patients. “Everything we do comes from information supported in the patients’ charts,” Hall said. “We also make sure the data upholds compliance standards and protects patients’ privacy.” “We’re interested in finding out what areas might be hot spots and determining what makes them this way, so we can ... better identify areas where there may be high-risk patients and provide interventions to those who need it most.” — David Hall, Ph.D. The teams aim to intervene before patients encounter postpartum complications, addressing potential issues before they become significant problems. After taking into account a patient’s personal and family medical history, the team looks at information such as geolocation, drilling down to areas much smaller than the ZIP code level in order to find points of potential concern. “We’re interested in finding out what areas might be hot spots and determining what makes them this way, so we can study these patterns throughout the state and better identify areas where there may be high-risk patients and provide interventions to those who need it most,” Hall said. Roussos-Ross said she is proud of the work her team has done to improve patient outcomes through the program so far and is excited to empower more patients. “Every year, the participants give us recommendations on how to improve the app, which we love. But they also say, ‘This is so great. It helped me think about myself and not just my baby. It helped me learn about taking care of my own health. It made me remember I’m important too, and it’s not just about the baby,’” Roussos-Ross said. “And that is so gratifying, because women are willing to do anything to ensure the health of their baby, sometimes at the expense of their own care. This is a way for us to let them know they are still important, and we care about their health as well.”

3 min

New AI-powered tool helps students find creative solutions to complex math proofs

Math students may not blink at calculating probabilities, measuring the area beneath curves or evaluating matrices, yet they often find themselves at sea when first confronted with writing proofs. But a new AI-powered tool called HaLLMos — developed by a team led by Professor Vincent Vatter, Ph.D., in the University of Florida Department of Mathematics — now offers a lifeline. “Some students love proofs, but almost everyone struggles with them. The ones who love them just put in more work,” Vatter said. “It just kind of blows their minds that there’s no single correct answer — that there are many different ways to do this. It’s very different than just doing computational work.” Building the tool HaLLMos was developed by Vatter, as principal investigator, along with Sarah Sword, a mathematics education expert at the Education Development Center; Jay Pantone, an associate professor of mathematical and statistical sciences at Marquette University; and Ryota Matsuura, a professor of mathematics, statistics and computer science at St. Olaf College; with grant support from the National Science Foundation. The tool is freely available at hallmos.com. The team’s goal was to develop an AI tool powered by a large language model that would support student learning rather than short-circuiting it. HaLLMos provides immediate personalized feedback that guides students through the creative struggle that writing proofs requires, without solving the proofs for them. The tool’s name honors the late Paul Halmos, a renowned mathematician who argued that the mathematics field is a creative art, akin to how painters work. Students using HaLLMos can select from classic exercises — such as proving that, for all integers, if the square of the integer is even, the integer is even — or use “sandbox mode” to enter exercises from any course. Faculty can create exercises and share them with students. Vatter introduced HaLLMos to his students last spring in his “Reasoning and Proof in Mathematics” class, a core requirement for math majors that is often the first time students encounter proofs. “They could use this tool to try out their proofs before they brought them to me. We try to identify the error in a student’s proof and let them go fix it,” Vatter said. “It is difficult for faculty to devote enough time to working individually with students. Our goal is that this tool will provide the feedback in real time to students in the way we would do it if we were there with them as they construct a proof.” Helping professors and students excel “I think every math professor would love to give more feedback to students than we are able to,” Vatter said. “That’s one of the things that inspired this.” The next steps for Vatter and his colleagues include getting more pilot sites to use the tool and continuing to improve its responses. “We’d like it to be good at any kind of undergraduate mathematics proofs,” he said. Vatter also intends to explore moving HaLLMos to UF’s HiPerGator, the country's fastest university-owned supercomputer. “It’s our goal to have it remain publicly accessible,” Vatter said. This research was supported by a grant from the National Science Foundation Division of Undergraduate Education.

View all posts