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Tag: Beckman Institute for Advanced Science and Technology

  • Speech Accessibility Project begins recruiting people who have had a stroke

    Speech Accessibility Project begins recruiting people who have had a stroke

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    BYLINE: Meg Dickinson

    Newswise — The Speech Accessibility Project has begun recruiting U.S. and Puerto Rican adults who have had a stroke.

    Those interested can sign up online.

    Funded by Big Tech companies Amazon, Apple, Google, Meta, and Microsoft, the University of Illinois Urbana-Champaign aims to train voice recognition technologies to understand people with diverse speech patterns and disabilities. The project is also recruiting adults with Parkinson’s diseaseDown syndromecerebral palsy, and amyotrophic lateral sclerosis.

    “A stroke can cause big changes, including changes to your ability to speak,” said Mark Hasegawa-Johnson, the project’s leader and a professor of electrical and computer engineering at Illinois. “Our goal is to teach AI to understand you the way you speak right now, so that you can use AI to help you on the job or in activities of daily life. The Speech Accessibility Project is about empowerment; the potential for empowerment of people post-stroke is huge and wonderful.”

    The project has partnered with Lingraphica’s research team to recruit people who have had a stroke. Mentors will connect with those who want to participate, screen their speech, and help them understand and consent to participate.

    Shawnise Carter, Lingraphica’s senior research manager and a speech language pathologist, said she’s thrilled to join the project and called it “ambitious and necessary.”

    “It is essential for individuals with communication impairments to have access to technology in a way that can suit their needs,” Carter said. “The hope is that it will allow people who have had a stroke to access smart devices and smart technology while decreasing frustration resulting from voice recognition technology not recognizing impaired speech.”

    Such technology doesn’t currently account for people with speech impairments, she said.

    “Creating a database that considers this is a huge contribution to the field of communication sciences and disorders and more research of this nature should continue,” she said.

    Clarion Mendes, a clinical assistant professor of speech and hearing science at Illinois and a speech language pathologist, added that the Speech Accessibility Project could also improve quality of life for family members and loved ones of people who have had a stroke.

    “Communication difficulties associated with a cerebrovascular accident, commonly known as stroke, are diverse in both their severity and how they impact individuals and their families. Speech, language, and cognitive processes may be affected,” Mendes said. “Including stroke survivors with aphasia and their caregivers in the Speech Accessibility Project is an exciting new chapter. There’s outstanding potential for increasing quality of life for stroke survivors and decreasing caregiver burden.”



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    Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign

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  • Speech Accessibility Project now recruiting adults with Down syndrome

    Speech Accessibility Project now recruiting adults with Down syndrome

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    BYLINE: Meg Dickinson

    Newswise — The Speech Accessibility Project is now recruiting U.S. adults with Down syndrome. The project aims to make voice recognition technology more useful for people with diverse speech patterns and different disabilities.

    Those interested in participating can sign up online.

    The University of Illinois Urbana-Champaign, a historic leader in accessibility, is securely recording participants and safeguarding their private information. Amazon, Apple, Google, Meta, and Microsoft are funding the project and are already using participants’ recorded voices to make voice recognition technology more useful.

    The project has so far collected more than 100,000 recordings from participants with Parkinson’s disease. In addition to Down syndrome, the project will also soon be recruiting adults with amyotrophic lateral sclerosis, cerebral palsy, and those who have had a stroke.

    Making speech recognition tools accessible to people with Down syndrome could change the way they interact with technology, and could have even more profound effects, as well, said Mark Hasegawa-Johnson, a professor of electrical and computer engineering at UIUC and the project’s leader.

    “The Speech Accessibility Project is fundamentally about human rights,” Hasegawa-Johnson said. “Everyone has the right to seek education, to seek employment, and to seek access to government services.”

    But people with Down syndrome may struggle with those, he said.

    “I think speech technology can help by making information about education, employment, and government services more easily accessible,” he said. “We are at a unique point in human history. With a perfectly reasonable amount of collaboration between the Down syndrome community and the technology community, we can make automatic speech recognition available to people with Down syndrome.”

    Having improved access to speech recognition technology could dramatically improve quality of life for many, said Clarion Mendes, a speech-language pathologist, clinical assistant professor of speech and hearing science, and member of the project team.

    “Down syndrome is the most commonly identified chromosomal difference in the U.S.,” she said. “Nearly all individuals with Down syndrome experience challenges with communication — including speech clarity. By including individuals with Down syndrome in the Speech Accessibility Project, the potential to engage with the world through communication increases.”

    The Speech Accessibility Project team has partnered with Laura Mattie and Marie Channell, both associate professors in the Department of Speech and Hearing Science.

    “The opportunity to promote inclusion and accessibility for people with Down syndrome is incredibly important,” Mattie said. “We jumped right on board. We can see the future impact that it can have on their lives.”

    Channell studies independence and transitions to adulthood in people with Down syndrome.

    “They go through all of life and school with educational supports, therapy, and services,” 

    she said. “As soon as they leave high school and hit early adulthood, these supports abruptly stop.”

    The so-called “service delivery cliff” means those individuals suddenly need to navigate services for adults, and many systems aren’t built for people with Down syndrome or who have intellectual disabilities.

    “Finding ways to support people who want to live independent lives and gain meaningful employment are limited,” she said. “Some of our research has found that about 50 percent are employed at some level, and most are under-employed. The Speech Accessibility Project will provide them with access to more tools to help them communicate and navigate through adult spaces in the community, just like everyone else.”

    Graduate students working with Channell and Mattie will walk potential participants and their caregivers through the process of signing up and participating in the project.

    Participants can receive up to $180 and caregivers can receive up to $90 in Amazon gift cards.

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    Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign

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  • Protein p53 regulates learning, memory, sociability in mice

    Protein p53 regulates learning, memory, sociability in mice

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    BYLINE: Jenna Kurtzweil

    Newswise — Researchers have established the protein p53 as critical for regulating sociability, repetitive behavior, and hippocampus-related learning and memory in mice, illuminating the relationship between the protein-coding gene TP53 and neurodevelopmental and psychiatric disorders like autism spectrum disorder.

    “This study shows for the first time that p53 is linked directly to autism-like behavior,” said Nien-Pei Tsai, an associate professor of molecular and integrative biology at the University of Illinois Urbana-Champaign and a researcher at the Beckman Institute for Advanced Science and Technology.

    In living systems, genes act as a biological version of binary code, using the letters A, C, G, and T instead of ones and zeroes to spell out cellular marching orders. Some genes — called coding genes — instruct cells to create proteins with specific functions. For example, the gene TP53 instructs cells to create the protein p53; its job is to regulate how other genes are expressed.

    In this study, Tsai and his colleagues lowered hippocampal p53 levels in mice, looking for changes in gene expressions related to behavior. They observed that the decreased p53 levels:

    • Promoted repetitive behavior in mice.
    • Reduced sociability in mice.
    • Impaired hippocampus-dependent learning and memory, especially in male mice.

    The researchers also observed that p53 levels were elevated after a period of active communication between hippocampal neurons called long-term potentiation. Flexible neuron firing — known as plasticity — is related to positive learning and memory outcomes.

    In a 2018 study, Tsai and his colleagues identified p53 as a key protein involved in the irregular brain cell activity seen in ASD and epilepsy. In future studies, they aim to explore how p53 coordinates the expression of those autism-linked genes to guide behavior.

    Editor’s notes:

    The paper associated with this study is titled “Tumor suppressor p53 modulates activity-dependent synapse strengthening, autism-like behavior and hippocampus-dependent learning” and appears in the journal Molecular Psychiatry.

    Research reported in this press release was supported by the National Institutes of Health under award numbers R01NS105615, R01MH124827, and R21MH122840. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

    Access the free paper online: https://www.nature.com/articles/s41380-023-02268-9

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    Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign

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  • An antiracist approach to intelligence research: Q&A with LaTasha Holden

    An antiracist approach to intelligence research: Q&A with LaTasha Holden

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    BYLINE: Melinh Lai

    Newswise — Intelligence can mean many things. For most people, it describes the general ability to learn and use knowledge in different areas, such as technology, science, and even personal relationships. At the Beckman Institute for Advanced Science and Technology, researchers study the origins of human intelligencedevelop artificially intelligent systems, and even question what it means to be intelligent at all.

    LaTasha Holden, a professor of psychology at the University of Illinois Urbana-Champaign and a Beckman researcher, studies intelligence from a different perspective. She looks at how intelligence is perceived socially and explores the impacts of those perceptions on people’s lives. She is particularly interested in how social notions of intelligence can have lasting consequences for students, both during their school years and in their lives outside the classroom. 

    Traditional perceptions of intelligence may have created unfair limitations for students, especially those from historically marginalized communities, but Holden believes that changing our fundamental understanding of what intelligence is can help develop antiracist practices and build a more equitable society. She elaborates in this Q&A.

    How do you define intelligence? Does that differ from how the average person might define it?

    I think the average person would define intelligence somewhere along the lines of natural smarts or book smarts: innate or unchangeable intellectual ability, or mental abilities that are assessed.

    I define intelligence as our ability to solve new problems, or the ability to adapt to our ever-changing environments. Scientifically, I define intelligence as something that emerges from general-purpose and domain-specific abilities, the latter of which are specialized and involve crystallized knowledge (for example: vocabulary knowledge).

    In my opinion, the second definition I provided is more appropriate. The key thing to remember is that intelligence in terms of a scientific construct has been defined and studied largely from a certain cultural perspective, which impacts how it was viewed historically and how it is viewed today. In any case, the notion of intelligence has a challenging history filled with forms of bias and injustice.

    Can you elaborate on this history?

    Studying intelligence usually involves testing people’s mental abilities in different ways, such as with memory tests or tests of visuospatial processing. Often, a person will have similar performance on many different tests — when they’re good at one test, they often perform well on many other tests. Historically, intelligence researchers have used a metric called the g (or general) factor to represent a person’s general ability to perform well on these cognitive tasks. The problem with many early theories of intelligence is that they believed that this factor was an innate, common cause for all intelligent behavior. Modern research shows that that is simply not the case.

    In addition, early intelligence assessments were developed from mostly white Europeans from higher social classes in the late 19th century. It is difficult to imagine that theories based on observations of only one group of people would translate well in other contexts with different groups. These early forms of intelligence assessments were also linked with eugenics, and this — in tandem with the mistaken views that intelligence is innate — often led to the outcomes of these assessments being used to further disenfranchise marginalized and racialized communities, including with legalized sterilization.

    How has this history impacted intelligence research and the modern pursuit of the science of intelligence?

    In many ways, traditional methods of studying intelligence have been viewed as out of line with supporting marginalized communities. I think even now a lot of people still view IQ tests this way. This history has led to some cognitive scientists avoiding the study of intelligence altogether. Others focus on concepts that seem related to intelligence, like executive function. I have argued that focusing on intelligence-related concepts doesn’t grant the same depth of prediction as specific aspects of intelligence, like working memory, which is the ability to control our attention.

    The most important aspects of intelligence appear to be domain-general processes like working memory. Even though we know that intelligence involves a mix of general and specialized abilities, we can focus on the general processes when we develop new ways to improve intelligence.

    In a new paper, my Ph.D. student Gabriel Tanenbaum and I wrote about diversity, equity, and inclusion-based considerations for the topic of intelligence and how we can study it for social good. The hope is that we can change how we study intelligence and apply it in future work to be more amenable to our current demographics of students, as we know the U.S. population has been becoming increasingly diverse in terms of cultural, racial ethnic and neurodiversity over the last several decades.

    How can intelligence be changed, or even improved?

    From my perspective, intelligence test scores are improvable — but the approach we take to improve them should be informed by, and largely depends on, differences in people’s needs. For example, if someone has challenges from ADHD, dyslexia, or dyscalculia we might think about different forms of tailored intervention to fit their specific needs.

    One possible route is to use common assessments of intelligence to get an initial sense of different students’ broad and narrow abilities. Once we’ve identified the areas where students are quite strong or may benefit from additional help, we can tailor an education strategy to fit their specific needs.

    What is the relationship between intelligence research and social equity?

    I think people view the relationship between intelligence research and social equity as a negative one. In other words, focusing more on the practical and scientific importance of intelligence is thought to not align with supporting social equity goals.

    Acknowledging the fraught history of intelligence research is important, and that means accepting that intelligence tests haven’t been used necessarily to focus on equity, but I argue that they can be used this way. In order for this to happen we have to both acknowledge that problematic history and work very intentionally to ensure that intelligence tests — and really, any tests of mental ability — are used in ways that align with equity goals.

    How can intelligence research be used to rectify these areas of inequality?

    The suppression of intelligence research has contributed to inequality because it has made people uncertain about whether it’s possible to align the study of intelligence with the pursuit of equity. Focusing on the sub-measures of intelligence is the best way to start in future work. The sub-measures allow us to think about more specific forms of tailored intervention to support our most vulnerable students.

    For example, working memory capacity is an important domain general sub-measure of intelligence. It is related to test performance and achievement and processing of information. Many studies have shown that in racialized and marginalized students, working memory is an important factor in terms of the mental resources involved in performing their best. Having higher working memory resources shows that students are able to better maintain their performance in the face of identity-threatening situations, suggesting to me that this is a really important factor when we consider social equity and think about helping vulnerable students maintain their cognitive resources.

    What do you think is the most important thing that someone can take from your research and apply to their own life in the pursuit of thinking more equitably and flexibly?

    First, I want people to understand the approach I am choosing to take in focusing on equity. Science has a history of prioritizing and serving some groups more than others. This has contributed to various forms of societal inequality and inequity. I am choosing to re-envision how we think about and conduct research on topics that have historically been used in problematic ways. I think we should take what can be useful about cognitive ability research and use it for social good. We should acknowledge what has been problematic and harmful in this history and continue to root out and revise practices that could perpetuate these problems today.

    Second, I think the cognitive psychology and intelligence literature has consistently shown that cognitive processes involve “mental energy and mental resources,” and certain experiences can weigh on mental energy and how well individuals are able to leverage and deploy different cognitive abilities and skills. From my perspective, societal bias and inequity have contributed to and caused forms of mental exhaustion. Instead of viewing the most vulnerable and marginalized from a deficit perspective, where people are inherently thought of as lacking something, we should take the view that differences in experiences create differences in needs. We should be using the science conducted on these topics both to combat form of bias and to meet the needs of the most vulnerable — not to contribute to further forms of marginalization.

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    Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign

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  • Renewable solar energy can help purify water, the environment

    Renewable solar energy can help purify water, the environment

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    BYLINE: Jenna Kurtzweil

    Using electrochemistry to separate different particles within a solution (also known as electrochemical separation) is an energy-efficient strategy for environmental and water remediation: the process of purifying contaminated water. But while electrochemistry uses less energy than other, similar methods, the electric energy is largely derived from nonrenewable sources like fossil fuels.

    Chemists at the University of Illinois Urbana-Champaign have demonstrated that water remediation can be powered in part — and perhaps even exclusively — by renewable energy sources. Through a semiconductor, their method integrates solar energy into an electrochemical separation process powered by a redox reaction, which manipulates ions’ electric charge to separate them from a solution like water.  

    Using this system, the researchers successfully separated and removed dilute arsenate — a derivative of arsenic, which is a major waste component from steel and mining industries — from wastewater.

    This work represents proof-of-concept for the applicability of such systems for wastewater treatment and environmental protection.

    “Global electrical energy is still predominantly derived from nonrenewable, fossil-fuel-based sources, which raises questions about the long-term sustainability of electrochemical processes, including separations. Integrating solar power advances the sustainability of electrochemical separations in general, and its applications to water purification benefit the water sector as well,” said lead investigator Xiao Su, a researcher at the Beckman Institute for Advanced Science and Technology and an assistant professor of chemical and biomolecular engineering.

    This work appears in the journal Small at https://doi.org/10.1002/smll.202305275.

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    Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign

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  • MRI turns 50: Expert Brad Sutton explains its history and role in understanding the aging brain

    MRI turns 50: Expert Brad Sutton explains its history and role in understanding the aging brain

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    Newswise — March 16, 2023, marks 50 years since Paul Lauterbur published his seminal Nature paper establishing zeugmatography — now familiar to most as magnetic resonance imaging or simply MRI — as a viable way to visualize objects with a magnetic field and radiofrequency signals.

    A faculty member at Stony Brook University in New York at the time of the discovery, Lauterbur was recruited to the University of Illinois Urbana-Champaign in the 1980s and won the 2003 Nobel Prize in Physiology or Medicine for developing MRI along with British physicist Sir Peter Mansfield.

    Lauterbur’s first human MRI scanner is preserved in the Illinois MRI Exhibit at the Beckman Institute for Advanced Science and Technology, where cutting-edge advancements in medical imaging include:

    Most recently, researchers have unlocked the ability to conduct scans in real time and see the physical mechanics of activities like speaking, singing, and swallowing. They have also developed techniques to use MRI to visualize genetic expression in the brain when learning.

    Brad Sutton, a professor of bioengineering at the University of Illinois Urbana-Champaign and the technical director of the Biomedical Imaging Center at the Beckman Institute, comments below.

    How has MRI technology changed the scope of medical research in the last 50 years?

    MRI has become one of the most important tools for doctors to see inside the body to understand what is happening in disease. MRI shows soft tissues like the brain, the heart, and other muscles and organs. It provides several ways to view the status of the tissue, such as looking at the shape, changes to the structure, blood flow, and inflammation. Being able to see inside the body quickly and clearly has led to advanced treatments and longer, healthier lives. MRI is a flexible imaging technique, and many physicians, scientists, and engineers continue to develop new ways to see disease earlier, enabling more effective treatments.

    The MRI scanners themselves continue to improve. One way that the scanners have changed is the magnetic field strength. This is measured in Teslas as the unit — the earth’s magnetic field is approximately 0.00005 Tesla. Paul Lauterbur’s first human MRI magnet was 0.09 Tesla, or about 2,000 times the Earth’s magnetic field. This enabled him to see structures in the body, but grainy and at low resolutions. Modern clinical MRI systems are 3 Tesla. Recently, the University of Illinois Urbana-Champaign and Carle Hospital jointly purchased an MRI magnet that is 7 Tesla. With this higher magnetic field strength, 75 times stronger than Lauterbur’s initial magnet, we can localize function in the brain down to about 0.5 millimeters, clearly and with excellent contrast.

    How does advancing MRI technology help protect human health, especially in an increasingly aging population?

    New imaging technologies using MRI allow us to see how the body changes with age and disease, and how the body responds to interventions. For example, we can see how the brain changes as we get older. It is not just that important parts of the brain decrease in size; the way in which different parts of the brain communicate with each other also changes. This leads to less efficient processing of information and can lead to disruptions in things like decisionmaking.

    As the population ages, we need effective interventions that will allow us to maintain our brain function late into life. MRI is helping with this too, enabling clinical trials on drugs that impact the brain, but also on non-pharmaceutical interventions like aerobic exercise, yoga, and brain-specific training.  

    What can we expect or hope for from the next 50 years of MRI research?

    In the next few years, we will see new MRI systems with even higher magnetic fields, providing even higher spatial resolution images of the body and brain.

    At the same time, we are also seeing new MRI systems that are small and portable, which can be placed in the doctor’s office for easy access. We will see systems that integrate information across all patients to better understand what we are seeing in the image and what it means for the health of the patient. We will also see new information when looking at the images, with new techniques leading to images where the signal intensity in the image represents quantitative information about the status of the tissue, including concentrations of key molecules in each pixel of the image, mechanical and electrical properties of the tissues, information about how the brain is performing its activities including changes to the tissue structure and genetic expression, and the systems will produce actionable 3D visualizations of the person in the scanner so that a doctor can perform virtual interventions and virtual surgeries to see the best way to treat the patient.

    Given the pace of development from when Paul Lauterbur imaged his first living sample (a clam) until now, I am certain that we will see these developments before another 50 years.

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