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Name: Linxia Gu Title: Professor of biomedical engineering and science, department head Department/college: Department of Biomedical Engineering and Science/College of Engineering and Science Current research funding: $5 million as co-PI of ASCEND General research focus: My research focuses on developing physically based computational models and conducting mechanical testing to investigate how mechanical stimuli influence cell and tissue responses, providing new insights into the interplay between mechanics and biology. Dr. Gu’s research expertise lies in the biomechanics and biomaterials using both computational and experimental methods. The specific application areas include vascular mechanics and indirect traumatic injury to the brain and eye. Her group is particularly interested in developing multi-scale multi-physics models to study and exploit tissue responses and cellular mechanotransduction, and to gain new mechanistic insights into the interplay of mechanics and human body. The multidisciplinary effort has resulted in > 130 journal papers, and $11 million research funding from NIH, NSF, ARO, and NASA. Q: What has you excited about your current research? The opportunity to bridge the gap between mechanics and biology drives my research. By integrating computational models with experimental data, we are uncovering how mechanical forces influence tissue and cellular responses, particularly in the areas of vascular stenting and traumatic injury to the eye and brain. This had the potential to drive breakthroughs in understanding, prevention and treatment. Q: Why is it important to conduct research? Conducting research is vital for addressing pressing societal challenges and advancing our understanding of complex biomedical systems. Linxia Gu is available to speak with media. Contact Adam Lowenstein, Director of Media Communications at Florida Institute of Technology, at adam@fit.edu to arrange an interview today.
From Saver to Spender: Navigating the Retirement Mindset Shift
Let’s start with a familiar—and slightly ridiculous—scene: a retired couple with $750,000 safely tucked away in investments, quietly nibbling no-name tuna on toast while muttering, “We just can’t afford steak anymore.” Sound absurd? Sadly, it’s not fiction. Despite having ample savings, many retirees live with perpetual financial anxiety, clinging to their nest egg as if it were their last roll of toilet paper during a pandemic. Meanwhile, they try to survive solely on government pensions, making life unnecessarily stressful and, let’s face it, a bit joyless. I've wrestled with this as someone who entered retirement earlier than expected. Years in finance taught me how to budget, invest, and plan, but transitioning from saving to spending required a whole new mindset. I learned quickly that being financially “prepared” doesn’t mean you’re emotionally or psychologically ready to spend. So, what’s going on here? The Hypothesis: Individuals Prefer Spending Income Rather Than Saving Retirees prefer spending income (pensions or annuities) rather than withdrawing from savings or investment accounts. This isn’t just a quirky behavioural trend—it’s a deeply ingrained bias, and neuroscience supports it. Research by Michael S. Finke, a professor at The American College and noted researcher in retirement economics, revealed that retirees tend to spend most of their guaranteed income but only withdraw about half of their savings. In his words: “Retirees spend lifetime income, not savings.” The implication is clear: it’s not about how much money you have but how it feels to use it. This is partly due to what behavioral economists call “mental accounting.” We categorize our money into imaginary buckets: income is for spending, and savings are for safekeeping. Unfortunately, this can lead to financially irrational and highly risk-averse behaviors, such as eating cat food while having six figures in a TFSA. The Neuroscience of Spending Fear Add a little neuroscience, and the story deepens. As we age, changes in the brain, particularly in the prefrontal cortex, can affect how we assess risk and manage uncertainty. This can lead to: • Increased loss aversion: We more acutely feel the pain of spending or loss. • Decision paralysis: We delay or avoid withdrawals, even when reasonable. • Heightened anxiety about the future: We fear running out more than we enjoy spending in the present. This Fear of Running Out (FORO), which I’ve written about in a previous post, keeps many retirees in a defensive crouch, emotionally hoarding their savings rather than using them to enrich the years they worked so hard to reach. It’s no wonder money stress impacts us so deeply—our brains are wired that way. From an evolutionary perspective, our minds are designed to fear scarcity because running out of resources once posed a real danger. When we perceive that threat today, whether it’s a dip in our investments or rising grocery bills, our brain shifts into fight-or-flight mode and begins releasing cortisol—the stress hormone that heightens our anxiety. Then our amygdala, that little alarm system in our brain designed to protect us from danger, can’t differentiate between a financial crisis and a sabre-toothed tiger. So, it reacts similarly, nudging us toward quick, often irrational decisions. Sometimes that means freezing and doing nothing; other times, it leads to panicking and regretful choices. Understanding how our brains function under financial stress allows us to step back, breathe, and make better, calmer decisions—ones that serve us, not scare us. Retirement can be wonderfully freeing—no more commutes, no more meetings—but let’s be honest: it also comes with a significant shift in financial responsibility. Without that steady paycheck, it’s completely normal to feel uneasy about how you'll manage your money, especially when unexpected expenses arise. Sure, there are mindset tools and mental prep strategies that can help ease that existential “What now?” feeling before retirement. But let’s be specific—here are the real, concrete financial stressors that keep many retirees awake at night: • Not Enough Income: One of the biggest fears? Your savings won’t stretch far enough to support the life you want—or handle surprises. • Healthcare Costs: As we age, medical expenses climb. It’s not just the big stuff, either. Even prescriptions and dental bills can blow a hole in your budget. • Market Ups and Downs: A stock market dip can uniquely affect retirees. Observing your investments fluctuate can cause genuine anxiety regarding your income, especially in today’s “trade war” environment. • Inflation: We all feel it. The gradual rise of higher prices erodes your purchasing power, making that carefully saved nest egg feel less secure. • Living Longer Than Planned: It's both a blessing and a challenge. If you're healthy and living well into your 90s (and many do), the big question becomes: will your money last as long as you do? Here’s the good news: when you acknowledge these risks and build a plan around them, you exchange fear for control. And with power comes clarity, confidence, and significantly less stress. That’s when you can truly enjoy retirement—on your terms. How to Flip the Script: Make Savings Feel Like Income So, how can retirees overcome this psychological hurdle? Here are 3 powerful strategies: 1. Create Artificial Income Streams Turn a portion of your savings into predictable, automatic income. This could mean: • Setting up regular monthly withdrawals from an RRIF • Purchasing an annuity • Utilizing a bucket strategy, in which one portion of savings is maintained in a cash-like account to replicate a paycheck When money shows up like a salary, you’re more likely to feel permission to spend it. 2. Use Home Equity as a Back-Up Income Source A secured line of credit (HELOC) or a reverse mortgage can serve as a “Plan B” or income buffer. Knowing that the funds are available can alleviate anxiety, whether you use them or not. 3. Involve Family in Income Planning Sometimes, the best way to reframe a spending decision is through conversation. Adult children or trusted advisors can help develop a spending strategy that feels both secure and reasonable. Families can be invaluable in helping you design: • Emergency funding plans for unexpected expenses like healthcare • Gifting strategies (Want to help the kids or grandkids? Do it while you’re alive to see the joy!) • Income simulations replacing a regular paycheck Open conversations can also help uncover mismatched expectations. For instance, some older adults worry that spending their savings will leave less of an inheritance for their children, which might cause disappointment. But in many cases, their children would much rather see their parents use that money to care for themselves and enjoy their retirement years. The great irony of retirement? The hardest part isn’t building wealth; it’s allowing yourself to enjoy it. So, let’s retire the notion that frugality is forever. Replace the guilt of spending with the confidence of an income strategy. And if you're facing your savings with trepidation, remember: cat food may be a pantry staple for your pet, but it’s no reward for 40 years of hard work. Retirement isn't merely a financial phase—it’s a shift in mindset. That shift begins when we stop hoarding and start living.
With Rise in US Autism Rates, Florida Tech Expert Clarifies What We Know About the Disorder
A new report from the Centers for Disease Control and Prevention (CDC) found that an estimated 1 in 31 U.S. children has autism; that's about a 15% increase from a 2020 report, which estimated 1 in 36. The latest numbers come from the CDC’s Autism and Developmental Disabilities Monitoring (ADDM) Network, which tracked diagnoses in 2022 among 8-year-old children. Autism spectrum disorder (ASD) is a neurological disorder that refers to a broad range of conditions affecting social interaction. People with autism may experience challenges with social skills, repetitive behaviors, speech and nonverbal communication. The news has experts like Florida Tech's Kimberly Sloman, Ph.D, weighing in on the matter. She noted that the definition of autism was expanded to include mild cases, which could explain the increase. “Research shows that increased rates are largely due to increased awareness and changes to diagnostic criteria. Much of the increase reflects individuals who have fewer support needs, women and girls and others who may have been misdiagnosed previously," said Sloman. Her insight follows federal health secretary Robert F. Kennedy Jr.'s recent declaration, vowing to conduct further studies to identify environmental factors that could cause the disorder. In his remarks, he also miscategorized autism as a "preventable disease," prompting scrutiny from experts and media attention. “Autism destroys families,” Kennedy said. “More importantly, it destroys our greatest resource, which is our children. These are children who should not be suffering like this.” Kennedy described autism as a “preventable disease,” although researchers and scientists have identified genetic factors that are associated with it. Autism is not considered a disease, but a complex disorder that affects the brain. Cases range widely in severity, with symptoms that can include delays in language, learning, and social or emotional skills. Some autistic traits can go unnoticed well into adulthood. Those who have spent decades researching autism have found no single cause. Besides genetics, scientists have identified various possible factors, including the age of a child’s father, the mother’s weight, and whether she had diabetes or was exposed to certain chemicals. Kennedy said his wide-ranging plan to determine the cause of autism will look at all of those environmental factors, and others. He had previously set a September deadline for determining what causes autism, but said Wednesday that by then, his department will determine at least “some” of the answers. The effort will involve issuing grants to universities and researchers, Kennedy said. He said the researchers will be encouraged to “follow the science, no matter what it says.” April 17 - Associated Press Sloman emphasized that experts are confident that autism has a strong genetic component, meaning there's an element of the disorder that may not be preventable. However, scientists are still working to understand the full scope of the disorder, and much is still unknown. “We know that there’s a strong genetic component for autism, but environmental factors may interact with genetic susceptibility," Sloman said. "This is still not well understood.” Kimberly Sloman’s research interests include best practices for treating individuals with autism spectrum disorder (ASD). She studies the assessment and treatment of problem behavior with methods such as stereotypy, individualized skill assessments and generalization of treatment effects. Are you covering this story or looking to know more about autism and the research behind the disorder? Let us help. Kimberly is available to speak with media about this subject. Simply click on her icon now to arrange an interview today.
Digital Dementia: Does Technology Use by ‘Digital Pioneers’ Correlate to Cognitive Decline?
As the first generation that interacted with digital technology reaches an age where dementia risks emerge, scientists have asked the question: Is there a correlation between digital technology use and an increased risk of dementia? With the phrases “brain rot” and “brain drain” circulating on social media, it would appear that most people would assume the answer is yes. However, a new study in Nature Human Behavior by neuroscientists at Baylor University and the University of Texas at Austin Dell Medical School reveals the opposite – digital technologies are actually associated with reduced cognitive decline. The study – A meta-analysis of technology use and cognitive aging – was sparked by the ongoing concern about the passive activity of digital technologies and their relation to accelerating risks of dementia. Study co-authors are Jared F. Benge, Ph.D., clinical neuropsychologist and associate professor of neurology at Dell Medical School and UT Health Austin’s Comprehensive Memory Center within the Mulva Clinic for the Neurosciences, and Michael K. Scullin, Ph.D., associate professor of psychology and neuroscience at Baylor. “You can flip on the news on just about any day and you’ll see people talking about how technologies are harming us,” Scullin said. “People often use the terms ‘brain drain’ and ‘brain rot,’ and now digital dementia is an emerging phrase. As researchers, we wanted to know if this was true.” The “digital dementia” hypothesis predicts that a lifetime of exposure to digital technology will worsen cognitive abilities. On the contrary, the study’s findings challenge this hypothesis, indicating instead that engagement with digital technology fosters cognitive resilience in these adults. Reviewing more than 136 studies with data that encompassed over 400,000 adults, and longitudinal studies with an average of 6 years of follow-up data, Scullin and Benge found compelling evidence that digital technology use is associated with better cognitive aging outcomes, rather than harm. The researchers’ study supported the “technological reserve” hypothesis, finding that digital technologies can promote behaviors that preserve cognition. In fact, their study revealed that digital technology use correlates with a 58% lower risk of cognitive impairment. This pattern of cognitive protection persisted when the researchers controlled for socioeconomic status, education, age, gender, baseline cognitive ability, social support, overall health, and engagement with mental activities like reading that might have explained the findings. Increase in problem-solving skills Scullin said that for some, these findings are surprising as technology use is often associated with being sedentary both physically and mentally. However, for the current generation of older adults who were introduced to the first technological advancements – computers, the Internet and smartphones – past their childhood, using technology is cognitively challenging because it is everchanging. “One of the first things that middle-age and older adults were saying is that ‘I’m so frustrated by this computer. This is hard to learn.’ That's actually a reflection of the cognitive challenge, which may be beneficial for the brain even if it doesn’t feel great in the moment.” Scullin said. Technology requires constant adaption, he said, such as understanding new software updates, troubleshooting Internet loss or filtering out website ads. “If you’re doing that for years and you’re really engaging with it, even though you might experience frustration, that may be a sign of you exercising your brain,” he said. Social connection Technology also enables communication and engagement like never before, which can expand opportunities for connectivity. Video calls, emails and messaging apps help maintain social networks, especially for people who would not otherwise regularly see their family members. “Now you can connect with families across generations,” Scullin said. “You not only can talk to them, you can see them. You can share pictures. You can exchange emails and it's all within a second or less. So that means there's a greater opportunity for decreasing loneliness.” Better social connectedness is a well-documented correlate of cognitive functioning in older adults, providing a link between decreased isolation from digital technologies and reduced risks of dementia. Impact of “digital scaffolding” A dementia diagnosis is indicated in part when cognitive changes lead to a loss of independence with daily tasks. Tools such as digital reminders, GPS navigation and online banking allow older adults to remain independent despite cognitive difficulties through digital scaffolding. According to the research article, this digital scaffold “facilitates better functional outcomes in older adults while general cognitive functioning declines.” Technologies can serve as a compensatory support system to maintain general independence and reduce the risk of a dementia diagnosis even with the presence of some cognitive decline. “As clinical practice continues to move toward an individualized, precision-medicine approach, it will be necessary for the field to identify for whom and for how long, such digital scaffolding is effective,” the researchers said. Promoting healthy technology use While Scullin recognizes the negative effects of technology, such as distracted driving or using technology over consistent face-to-face interaction, he also emphasizes how promoting a healthy use of digital tools in older adults is beneficial for their cognitive health. “If you have a parent or grandparent who’s just staying away from technology, maybe revisit that. Could they learn to use photo, messaging, or calendar apps on a smartphone or tablet? Start simple and be very patient while they learn,” he said. Social media use is another highly debated topic in terms of cognitive effects. While he says it’s hard to predict the cognitive effects of endlessly scrolling on TikTok, Scullin does argue that generating videos through creative cognition could be beneficial. In addition, he said that interacting with communities online can provide benefits by forming social connections. “We could spend a long time talking about all the specific ways in which technology use can be bad. However, the net effect since the 1990s has been positive for overall cognition in older adults,” he said. FUNDING The study was supported by funding from the National Institutes of Health (R01AG082783; M.K.S., J.F.B.). Michael Scullin was named Baylor’s inaugural Newsmaker of the Year in 2018, after his “to-do list” research was widely covered by media outlets, including ABC’s Good Morning America, TODAY.com, USA TODAY, Discover, LiveScience, HealthDay, BBC Radio and many more, reaching an international circulation and viewership of nearly 1 billion people. Looking to interview or chat with Michael Scullin? Simply click on his icon now to arrange an interview today.
Research Matters: Can Neurons Transmit Light?
Neurons, the cells in brains and spinal cords that make up the central nervous system, communicate by firing electrical pulses. But scientists have found hints that neurons may transmit light as well, which would profoundly change our current understanding of how the nervous system works. Researchers from the University of Rochester have begun an ambitious project to study if living neurons can transmit light through their axons — the long, tail-like nerve fibers of neurons that resemble optical fibers. “There are scientific papers offering indications that light transport could happen in neuron axons, but there’s still not clear experimental evidence,” says the principal investigator, Pablo Postigo, a professor at the university's Institute of Optics. “Scientists have shown that there is ultra-weak photon emission in the brain, but no one understands why the light is there.” If light is at play and scientists can understand why, it could have major implications for medically treating brain diseases and drastically change the way physicians heal the brain. To learn more about Postigo's research, contact him at ppostigo@ur.rochester.edu.
AI-powered model predicts post-concussion injury risk in college athletes
Athletes who suffer a concussion have a serious risk of reinjury after returning to play, but identifying which athletes are most vulnerable has always been a bit of a mystery, until now. Using artificial intelligence (AI), University of Delaware researchers have developed a novel machine learning model that predicts an athlete’s risk of lower-extremity musculoskeletal (MKS) injury after concussion with 95% accuracy. A recent study published in Sports Medicine details the development of the AI model, which builds on previously published research showing that the risk of post-concussion injury doubles, regardless of the sport. The most common post-concussive injuries include sprains, strains, or even broken bones or torn ACLs. “This is due to brain changes we see post-concussion,” said Thomas Buckley, professor of kinesiology and applied physiology at the College of Health Sciences. These brain changes affect athletes’ balance, cognition, and reaction times and can be difficult to detect in standard clinical testing. “Even a minuscule difference in balance, reaction time, or cognitive processing of what’s happening around you can make the difference between getting hurt and not,” Buckley said. How AI is changing injury risk assessment Recognizing the need for enhanced injury reduction risk tools, Buckley collaborated with colleagues in UD’s College of Engineering, Austin Brockmeier, assistant professor of electrical and computer engineering, and César Claros, a fourth-year doctoral student; Wei Qian, associate professor of statistics in the College of Agriculture and Natural Resources; and former KAAP postdoctoral fellow Melissa Anderson, who’s now an assistant professor at Ohio University. To assess injury risk, Brockmeier and Claros developed a comprehensive AI model that analyzes more than 100 variables, including sports and medical histories, concussion type, and pre- and post-concussion cognitive data. “Every athlete is unique, especially across various sports,” said Brockmeier. “Tracking an athlete’s performance over time, rather than relying on absolute values, helps identify disturbances, deviations, or deficits that, when compared to their baseline, may signal an increased risk of injury.” While some sports, such as football, carry higher injury risk, the model revealed that individual factors are just as important as the sport played. “We tested a version of the model that doesn’t have access to the athlete’s sport, and it still accurately predicted injury risk,” Brockmeier said. “This highlights how unique characteristics—not just the inherent risks of a sport—play a critical role in determining the likelihood of future injury,” said Brockmeier. The research, which tracked athletes over two years, also found that the risk of MSK injury post-concussion extends well into the athlete’s return to play. “Common sense would suggest that injuries would occur early in an athlete’s return to play, but that’s simply not true,” said Buckley. “Our research shows that the risk of future injury increases over time as athletes compensate and adapt to small deficits they may not even be aware of.” The next step for Buckey’s Concussion Research Lab is to further collaborate with UD Athletics’ strength and conditioning staff to design real-time interventions that could reduce injury risk. Beyond sports: AI’s potential in aging research The implications of the UD-developed machine-learning model extend far beyond sports. Brockmeier believes the algorithm could be used to predict fall risk in patients with Parkinson’s disease. Claros is also exploring how the injury risk reduction model can be applied to aging research with the Delaware Center for Cognitive Aging. “We want to use brain measurements to investigate whether baseline lifestyle measurements such as weight, BMI, and smoking history are predictive of future mild cognitive impairment or Alzheimer’s disease,” said Claros. To arrange an interview with Buckley, email UD's media relations team at MediaRelations@udel.edu
Why generative AI 'hallucinates' and makes up stuff
Generative artificial intelligence tools, like OpenAI’s GPT-4, are sometimes full of bunk. Yes, they excel at tasks involving human language, like translating, writing essays, and acting as a personalized writing tutor. They even ace standardized tests. And they’re rapidly improving. But they also “hallucinate,” which is the term scientists use to describe when AI tools produce information that sounds plausible but is incorrect. Worse, they do so with such confidence that their errors are sometimes difficult to spot. Christopher Kanan, an associate professor of computer science with an appointment at the Goergen Institute for Data Science and Artificial Intelligence at the University of Rochester, explains that the reasoning and planning capabilities of AI tools are still limited compared with those of humans, who excel at continual learning. “They don’t continually learn from experience,” Kanan says of AI tools. “Their knowledge is effectively frozen after training, meaning they lack awareness of recent developments or ongoing changes in the world.” Current generative AI systems also lack what’s known as metacognition. “That means they typically don’t know what they don’t know, and they rarely ask clarifying questions when faced with uncertainty or ambiguous prompts,” Kanan says. “This absence of self-awareness limits their effectiveness in real-world interactions.” Kanan is an expert in artificial intelligence, continual learning, and brain-inspired algorithms who welcomes inquiries from journalists and knowledge seekers. He recently shared his thoughts on AI with WAMC Northeast Public Radio and with the University of Rochester News Center. Reach out to Kanan by clicking on his profile.
The £1.25m study, being led by the University of Derby, is trialling antiviral medications as a treatment for symptoms of long COVID Professor Ian Maidment from Aston Pharmacy School is the lead pharmacist and will provide support for the clinical trials It is estimated that more than 2m people in the UK and more than 144m globally live with long COVID Professor Ian Maidment, at Aston Pharmacy School, is the lead pharmacist on a groundbreaking research project looking to find a treatment for symptoms of long COVID, which is being led by the University of Derby. The £1.25m trial, which is the first of its kind in the UK, is exploring whether antiviral medications can be used as an effective treatment option for patients diagnosed with long COVID. It is estimated that more than 2m people in the UK and more than 144m globally live with long COVID and almost a quarter of sufferers have had their symptoms for more than two years. Symptoms are broad and include extreme fatigue and breathlessness, palpitations, and brain fog. The trial, which began in September 2024, is part of a wider programme of groundbreaking research being led by the University of Derby. Involving 72 patients, the research is trialling the use of an antiviral drug that can be given to those admitted to hospital because of a COVID-19 infection. As most people experience a community infection and are not hospitalised, they do not have a way to access this medication. By taking the drug out of the acute admission setting, the researchers are hoping to see whether it can help those living with long COVID and alleviate some of the symptoms that they are living with. During the trial, patients undergo a series of assessments at the University of Derby’s specialist facilities before attending the hospital to receive the antiviral drug intravenously for five consecutive days, delivered in collaboration with experts from University Hospitals of Derby and Burton NHS Foundation Trust. Researchers from the University of Exeter are also involved, and the study is being managed by the University of Plymouth’s Peninsula Clinical Trials Unit. Professor Maidment will provide support for the clinical trials. Patients recruited in Exeter will undertake detailed body scans, which will be analysed to check if the antiviral medication has reduced inflammation, which may occur in people with long COVID. Mark Faghy, professor in clinical exercise science at the University of Derby and the study lead, said: “The impact long COVID has on the lives of patients is huge. For many, it can be debilitating, interfering with work, family life, and socialising, and millions are suffering across the world. Yet, at present, there are no confirmed treatments for the condition. Five years on from the start of the pandemic, long COVID remains a significant health and societal challenge, which is why this project is so important. “This is an ongoing project with various phases and is still in its infancy, but we are excited to have taken the first steps to hopefully improve the quality of life for those living with long COVID.” Professor David Strain, clinical lead based at the University of Exeter Medical School, said: “There is a clear need for people living with long COVID and we hope from this study we can see a reduction in the symptoms people experience. It will be an ongoing project with various phases, but we are excited to be taking the first steps to improve patients' quality of life.” Professor Ian Maidment, Aston Pharmacy School, said: “We need clinical trials to develop new and effective treatments for long COVID. Pharmacy support is critical for the successful delivery of these studies.” Over the past four years, Professor Faghy and his team at the University of Derby have conducted a series of international studies to explore the impacts of acute and long COVID, looking to understand the causes and contributing factors of long COVID by bringing clinical insight together with the lived experience of patients.
The Lost Girls of Autism is published on 3 April 2025, coinciding with Autism Awareness Month in April In the book, Professor Rippon explores the ‘male’ history of autism, and why autism in women has been misunderstood and ignored Professor Rippon will give a free public lecture on the book at Aston University on 6 May 2025. Gina Rippon, professor emeritus of cognitive neuroimaging at Aston University Institute of Health and Neurodevelopment (IHN), has written a new book, entitled The Lost Girls of Autism. The book will be released on 3 April 2025, coinciding with Autism Acceptance Month in April. It has the subtitle ‘How Science Failed Autistic Women and the New Research that’s Changing the Story’. Historically, doctors believed that autism was a male condition, and simply did not look for it in girls and women. This has meant that autistic girls visiting a doctor have been misdiagnosed with anxiety, depression or personality disorders, or are missed altogether. Many women only discover they have the condition when they are much older, missing decades of support. In more recent years, it has become apparent that girls and women with autism have different traits and behaviours to boys and men, and are more likely to hide autistic traits to fit in – known as camouflaging. In The Lost Girls of Autism, Professor Rippon explores the emerging science of female autism, and examines why it has been systematically ignored and misunderstood for so long. Professor Rippon will give a free public lecture about her book on Tuesday 6 May 2025 at 18:00 BST at Aston Business School. Visit https://www.eventbrite.co.uk/e/the-lost-girls-of-autism-an-audience-with-author-gina-rippon-tickets-1304020734119 for more information and tickets. Copies of the book will be on sale at the event. Professor Rippon said: “This book reveals how a ‘male spotlight’ problem has biased many aspects of the autism story, from what autism is, to how we recognise it, and even how brain imagers like me search for answers. It shows how and why autistic women have been unrecognised, overlooked and unsupported. It shines a new light on how the story is changing and how we are now beginning to recognise the full spectrum of the autistic experience. It is for anyone with an interest in autism in all its presentations.”
University of Delaware researchers have found that measuring brain stiffness is a reliable way to predict brain age. This information could be used to identify structural differences that indicate departure from the normal aging process, potentially identifying and addressing disorders such as Alzheimer’s disease and Parkinson’s disease. In recent findings, Curtis Johnson, associate professor of biomedical engineering, and Austin Brockmeier, assistant professor of electrical and computer engineering, show that measuring both brain stiffness and brain volume produces the most accurate predictions of chronological age. Their findings were published in a recent edition of the journal Biology Methods and Protocols. The pair worked with three current and former UD students to reach their conclusions. “Brain volume is a common measure that we use to study the brain,” Johnson said. “But something has to be happening to cause a brain to shrink. Something is happening at the microscale that causes it to shrink — changes in the tissue that also cause stiffness to change. And that precedes whatever happens when the volume changes.” “The stiffness maps all seem kind of random — until we see a large number of images and the randomness fades away and we start to see common patterns in stiffness,” Johnson said. “We sort of knew there was more [information] in there than what we were extracting." A cutting-edge magnetic resonance imaging (MRI) scanner at UD’s Center for Biomedical and Brain Imaging handled the brain scanning. On the artificial intelligence side, the brain maps were analyzed by three-dimensional “convolutional neural networks,” which — as the name suggests — are convoluted and complicated, incorporating many layers and dimensions. To arrange and interview with Johnson or Brockmeier, send an email to mediarelations@udel.edu