Articles tagged with Magnetic Resonance Imaging
Researchers found that healthier superficial white matter is associated with stronger language skills, and that gray matter atrophy measures remain the strongest predictors of cognition. However, the relationship between gray matter and cognitive performance depends on superficial white matter health.
The open-source image analysis pipeline accurately measures brain tissue changes in animal models, reducing variability among thousands of scans. The tool has the potential to improve early-stage evaluation of new therapies for acute ischemic stroke.
Researchers developed a novel imaging approach called SANDI to study microstructural brain abnormalities associated with Huntington's disease. The model revealed differences in cell density and size, correlating with disease progression and motor performance.
Non-invasive approaches are expanding options for assessing portal hypertension, with elastography techniques and biochemical markers showing high sensitivity and specificity. AI-powered predictive models combine clinical data to improve diagnosis, but should not replace invasive HVPG, which remains the gold standard.
A new USC study uses AI to generate detailed maps of brain aging, revealing distinct patterns of neurodegeneration in specific regions. The approach sheds light on how local brain age correlates with changes in cognitive function across the lifespan.
Researchers explore how engineered lanthanide carriers can tune the optical and magnetic properties of ions for improved signal contrast and reduced background signals in biomedical imaging. The study highlights opportunities for multimodal imaging, theranostics, and AI-guided probe design.
Recent progress in lanthanide carriers is mapped to improve biomedical imaging and diagnosis, combining optical, X-ray, and magnetic resonance imaging techniques. These carriers enable high-resolution imaging with tunability for different applications, reducing tissue damage and enhancing image clarity.
Craig Meyer, a UVA professor of biomedical engineering and radiology, received the ISMRM Gold Medal for his pioneering work in advancing MRI technology. His research focuses on refining fast acquisition methods, including spiral-based approaches, to capture high-quality images in challenging conditions like imaging the lungs. The awar...
AI model improves cardiac MRI interpretation, while immersive VR simulators aid poststroke rehabilitation. Meanwhile, menopause tracking apps offer empowerment but also pose risks due to inaccurate information and targeted marketing.
Researchers found minor cardiac dysfunction can predict microscopic tissue degradation in brain regions associated with Alzheimer's disease, leading to poor long-term memory performance.
Researchers from the German Primate Center replicate historical findings by Renate Schweizer on brain convolutions, confirming a connection between deep-lying winding and 'bridge.' The study analyzed structural MRI scans of healthy adults, finding a higher prevalence of 'bridge' in twins.
A new study suggests that functional brain imaging can help guide accelerated transcranial magnetic stimulation (TMS) for depression, leading to improved symptoms and response rates. The approach uses resting-state functional connectivity analysis to identify individualized treatment targets.
Researchers have found that cats show comparable patterns of brain deterioration as they age, similar to humans. This study, part of the Translating Time project, aims to unlock new insights into human ageing and disease by comparing cat and human brain development.
Researchers at USC are conducting a clinical trial to determine whether mindfulness meditation training can augment the potential benefits of psilocybin therapy for mental well-being and cognitive function. The study will evaluate the effects of psilocybin within an eight-week mindfulness meditation training program.
Research suggests that individual differences in brain organization can explain language learning variability in adulthood. Brain networks involved in attention and cognitive control predict language learning success.
FireANTs, an open-source algorithm, combines AI optimization and geometry to quickly match complex medical images. The new method can accomplish what took weeks in minutes, detecting subtle changes that signal disease or cognitive decline, making it practical for clinical practice.
A new University of Arizona study has found that several common sleep behaviors may be linked to signs of brain aging. Sleeping outside the recommended seven-to-nine-hour range, frequent daytime napping, and sleeplessness were distinctly associated with greater volume of white matter lesions in healthy people.
A POSTECH research team developed a haptic device that can operate inside MRI scanners, enabling the measurement of brain activity during VR experiences. The study found that adding tactile feedback increased brain activation in areas responsible for motor control, attention, and cognitive processing.
A new study demonstrates that acupuncture can significantly improve muscle function recovery in patients who experienced a stroke. The true-acupoint group showed significant improvements in motor recovery tests, with positive correlations between increases in gray matter volume and limb motor function recovery.
A new approach combines MRI scans and AI tools to measure fluid flow in the brain, shedding light on the glymphatic system’s mechanics. The study reveals two main ways the system washes away particles, with one way moving faster than the other.
A new simulation- and AI-based approach reduces the time and data needed for brain MRI scans, achieving a high level of accuracy with only 10% of the data required. This breakthrough could translate to a significant reduction in scan time, enabling more patients to be treated in the same amount of time.
Researchers developed an AI system called CMR-CLIP that can interpret complex heart scans without manual labels, outperforming existing models by up to 35%. The system learned from over a million images and hundreds of thousands of motion sequences collected from Cleveland Clinic.
The center aims to enhance international cooperation in medical research and become one of the five core institutions at Korea University Mediscience Park. The event featured keynote lectures by experts from the University of Nottingham and domestic speakers sharing IBS's MRI operational know-how.
A new AI system enables real-time spine positioning and analysis during MRI scans, improving accuracy and reducing variability. The system was tested in a multicenter study involving 1,522 patients, showing significant improvements over manual interpretation for diagnosing lumbar disc herniation and spinal canal stenosis.
A new study suggests that ultrasound stimulation can bring about functionally meaningful changes in pain perception and brain connectivity. The research found a delayed analgesic effect, with participants reporting reduced pain intensity after 28-55 minutes following TUS application.
Children with high genetic susceptibility to schizophrenia show decreases in frontal cortical surface area during early adolescence, contrasting with regional expansion in those with low genetic susceptibility. This suggests neurodevelopmental deviations prior to symptom onset.
A novel antibody, NG101, accelerates the regeneration of damaged spinal cord tissue by neutralizing a protein that blocks nerve fiber growth. This therapy enables new nerve fibers to form functional connections, allowing patients to become more independent and potentially recover arm and hand function.
A new urine test, MPS2-AS, performed better than PSA-based testing and MRI for monitoring low-risk prostate cancers on active surveillance. The test correctly predicted high-grade cancer in 97% of cases and avoided unnecessary biopsies by up to 64%.
After a mild head injury, CSF motion increased in some regions and decreased in others. The technique may help clarify the link between post-traumatic brain conditions and changes in cognitive function.
Elective MRI screenings may lead to false positives, unnecessary surgery, and emotional harm. Experts argue that detecting certain cancers early is not always beneficial, and the scans can exacerbate anxiety rather than improve quality of life.
Researchers developed multiplexed MRI technology, enabling simultaneous imaging of signals from multiple molecules in the brain. The technology provides a comprehensive view of the brain's structure, physiology, and molecular processes, allowing for more precise diagnosis and individualized treatment planning.
A study published in Radiology used AI to analyze whole-body MRI scans from over 66,000 participants, revealing that skeletal muscle quality is a strong predictor of diabetes, major cardiovascular events, and mortality. The researchers also found that high visceral fat and low skeletal muscle were associated with increased risks of the...
A long-term MRI study finds that lower accumulation of visceral fat is associated with preservation of key brain structures, better cognitive performance, and slower brain atrophy. The study suggests that glucose control and insulin sensitivity mediate the relationship between abdominal fat and brain aging.
Researchers have developed a new MRI technique that can track transplanted stem-cell-derived heart cells over long periods. This method allows scientists to visualize where transplanted cells survive, helping to improve therapies for patients with heart damage.
Researchers at UT Health San Antonio have made a significant breakthrough in treating combat post-traumatic stress disorder (PTSD) by adding navigated TMS to psychotherapy, showing an 85% reduction in symptoms. The study used a patented MRI-guided, robotic-controlled form of transcranial magnetic stimulation (TMS), known as navigated T...
The study found that AI-enhanced single-shot cine MRI produces better image quality compared to conventional cine MRI, particularly in participants with arrhythmia. The technique demonstrated a 100% success rate for image acquisition, outperforming conventional cine sequences.
Research presented at EAU26 confirms that prostate cancer screening leads to a reduction in mortality, but also detects cancers that would otherwise remain undetected. The study's findings suggest that using MRI in prostate cancer screening can reduce overdiagnosis and unnecessary biopsies.
Researchers at IBEC have developed a compact, cost-effective NMR platform capable of direct observation of dynamic metabolic fluxes in microfluidic systems. This technology leverages hyperpolarization to bridge the gap between high-field NMR performance and lab-on-chip analysis.
Researchers found that people's expectations about sugar content alter their enjoyment of beverages containing artificial sweeteners. By manipulating participants' expectations, the study shows how the brain's reward system responds to sweet flavors, with increased activation in the dopaminergic midbrain.
Research shows that expert birders have more compact attention- and perception-related brain areas, linked to accurate bird identification. These structural changes persist in older birders and may benefit cognition as people age.
Researchers found that implanted cuff electrodes can trigger unintended nerve stimulation during MRI, causing discomfort or pain. The study recommends more refined guidelines and careful safety considerations to mitigate this risk.
A population-based study reveals that rotator cuff abnormalities are common after age 40 and often represent normal age-related changes. The findings challenge the clinical value of routine imaging for atraumatic shoulder pain, questioning the need for regular scans in this demographic.
Researchers developed a new MRI technique that simultaneously displays heart tissue and blood flow, enabling precise planning for surgical repairs. This innovation provides high-quality flow images without radiation, making it essential for repeated imaging in children.
A new software tool developed by MIT researchers can reliably and finely resolve eight distinct nerve bundles in live diffusion MRI scans, shedding light on neurodegenerative diseases like Parkinson's and Alzheimer's. The BrainStem Bundle Tool (BSBT) reveals distinct patterns of structural changes in patients with these conditions.
Researchers used AI to analyze brain activity of 130 two-month-old infants, discovering that they can categorize objects in their brains at just two months old. This challenges earlier thought and highlights the richness of brain function in the first year of life.
Researchers used MRI analysis to measure glymphatic system activity, finding changes related to IIH stage and pressure levels. The findings suggest a noninvasive test could diagnose IIH more reliably, improving treatment options for patients with symptoms including headaches and vision loss.
A recent study from the University of Eastern Finland and New York University establishes a direct link between axonal microgeometry and diffusion MRI signals. The discovery enables the detection, monitoring, and assessment of treatment response using dMRI in patients with various neurological disorders.
Research reveals structural brain changes in older adults affect ability to shift between tasks and update environmental information. These changes may lead to deficits in behavioral adaptability, emphasizing the importance of identifying age-related brain structure changes.
Children exposed to high levels of screen time before age two showed changes in brain development linked to slower decision-making and increased anxiety by their teenage years. Parent-child reading may offer protection against these effects.
Researchers will use revolutionary technology to transform understanding of extreme environments, revealing how black holes behave and evolve. The project aims to deliver dynamic gravitational tomography, creating 3D movies showing plasma flows around black holes.
Proton therapy has been shown to provide a significant survival benefit for patients with head and neck cancers. In another study, researchers have identified a promising target for treating pancreatic cancer by inhibiting the mitochondrial enzyme GFER. Additionally, diagnostic breast MRI may be unnecessary for some patients with early...
A new AI model can accurately identify brain abnormalities in MRI scans for various conditions, including stroke, multiple sclerosis, and brain tumors. The model can also triage scans, increase reporting speeds, and support clinical decision-making by suggesting findings to radiologists.
Scientists have successfully used fullerenes as polarizing agents to improve MRI imaging capabilities, enabling clearer images with greater sensitivity. This breakthrough technique could lead to enhanced diagnostic capabilities and faster detection of diseases, potentially revolutionizing medical imaging.
The study found significant differences in injury patterns between men and women, with men experiencing more ACL tears and women more frequent meniscal and MCL tears. These findings can help radiologists tailor imaging protocols and risk assessments to optimize patient outcomes.
Repeated head impacts in professional boxers and mixed martial artists can lead to cognitive decline and neurodegenerative disorders. The glymphatic system, responsible for clearing waste from the brain, is compromised in fighters with higher numbers of knockouts.
Researchers at UCSF found distinctive brain patterns in children with sensory processing disorder, which could help clinicians refine treatments for tantrums and emotional volatility. The study suggests that over-responsive children's brains dial up inward-focused networks to gain self-control.
Recent advances in multimodal imaging, including MRI, diffusion imaging, perfusion imaging, MRS, and PET/CT, have improved early detection and differential diagnosis of radiation-induced brain injury (RIBI). Emerging therapeutic strategies target underlying pathological mechanisms, such as neuroinflammation, oxidative stress, and vascu...
A new study found that individuals with a history of major depression showed higher MRI markers associated with neuroinflammation in the VTA, suggesting increased extracellular inflammatory processes. Current depressive symptom severity was associated with distinct microstructural changes indicating different underlying pathophysiologi...
A study by NTU Singapore researchers found that enlarged perivascular spaces, or 'clogged drains', in the brain are a likely early-warning sign of Alzheimer's disease. The condition can be visually identified on routine MRI scans, complementing existing methods to detect Alzheimer's earlier.
A new study found that disrupted brain fluid circulation, even in regions far from the tumor, can forecast poorer survival rates in glioblastoma patients. The researchers used MRI scans to measure fluid movement and accumulation, revealing a link between impaired glymphatic function and shorter survival.