Articles tagged with Neuroimaging
The research aims to understand how high-risk genes disrupt neurodevelopment and lead to neuropsychiatric conditions, potentially informing diagnostic and therapeutic approaches. A national team of researchers will examine the effects of these genes on brain development, connectivity, and behavior in a mouse model.
Researchers found AI-based imaging technology improves disease diagnosis accuracy, particularly in cardiology, oncology, neurology, and ophthalmology. The technology also enhances diagnostic efficiency and reduces healthcare disparities by delivering high-quality diagnostics to underserved areas.
Elizabeth Hillman, a pioneer in imaging method development, is leading the new Department of Imaging Sciences at St. Jude Children's Research Hospital. The department aims to develop innovative new imaging and measurement approaches that will enable groundbreaking scientific studies and improve patient care.
Researchers found that individuals with childhood epilepsy have an increased accumulation of brain amyloid later in life, which may lead to late-onset brain amyloid disorders like Alzheimer's disease. The study also showed that these individuals performed worse in cognitive tests compared to controls.
A new study by researchers from the University of Waterloo and Texas Tech University found that teams with diverse expertise generate more unique proposals, but their ideas are often less useful compared to teams with shared expertise. The study used neuroimaging to measure how participants' brains responded during team collaboration.
A systematic literature search identified high-priority clinical actions for post-acute care, including early education, risk assessment, and mental health screening. Implementing these actions can improve the quality of care for non-hospitalized TBI patients.
The study identified a modified imaging approach and volumetric measurements as more accurate in predicting survival compared to other methods. These approaches worked well even for small tumors, suggesting they should be included in future studies.
A phase 2 study conducted by Mayo Clinic found that 56% of participants were alive after 12 months, with a median overall survival of 13.1 months. The treatment, which combines short-course hypofractionated proton beam therapy with advanced imaging techniques, was more effective in patients over 65 with favorable tumor genetics.
Fogarty's research aims to monitor language function and recovery in post-stroke patients using DOT. She hopes to establish the feasibility of brain-computer interfaces to restore inter-personal communication for post-stroke patients.
A new noninvasive imaging method developed by MIT researchers can penetrate deeper into living tissue than previous techniques, producing richer and more detailed images. This breakthrough enhances biological research capabilities, enabling scientists to study immune responses and develop new medicines with greater accuracy.
Silvia Blemker, a University of Virginia biomedical engineer, has been elected Fellow of the National Academy of Inventors (NAI) for her work on muscle health. Her patented technology, Image-based Identification of Muscle Abnormalities, uses advanced imaging and analytics to provide detailed insights into muscle health.
Researchers use real-time neuroimaging and neurofeedback to modify brain activity patterns, enabling faster learning and treatment of psychiatric disorders. The study demonstrates the ability to inscribe new patterns into the brain without physical manipulation.
A USC study reveals that forming social ties relies on learning from positive outcomes, such as rewards, and tracking relational value. The findings help explain why we are drawn to certain people and how we navigate relationships, with implications for mental health and social behavior.
A new portable MRI machine, augmented with machine learning tools, matches conventional MRI in measuring brain characteristics relevant to Alzheimer's disease. The study has the potential to expand neuroimaging in settings with limited MRI access and streamline care for AD patients.
A study of over 6,000 adolescents found that those with symptoms of gaming addiction showed lower brain activity in the decision-making and reward processing region. This suggests a link between reduced sensitivity to rewards and problematic gaming behaviors.
Researchers at the University of Tokyo discover that the patterns of spontaneous activity and stimulus-evoked response are similar in lower visual areas of the cerebral cortex but gradually become independent as one moves to higher visual areas. This orthogonal relationship helps explain how sensory perception remains stable despite co...
A team of researchers has created the first complete map of the brain's circadian clock in the fly Drosophila, revealing at least 240 neurons involved in regulating daily rhythms. This detailed mapping provides a foundation for exploring circadian dysregulation linked to health conditions such as sleep disorders and metabolic diseases.
A new study in Nature identifies strategies for tying brain function and structure to behavior and health, improving the reliability of brain-wide association studies. By strategically selecting participants and collecting multiple scans, researchers can obtain more dependable results with fewer participants.
Leila Nabulsi is expanding her research program to pinpoint brain pathways affected by bipolar disorder. She will leverage the ENIGMA consortium and advanced statistical methods to build a database of brain changes, potentially improving diagnosis and treatment.
Researchers from Michigan State University used brain-scanning tools to predict visitation patterns in urban environments. The study found that the brain's reward system can shape human behavior within cities, aiding in designing sustainable living spaces.
A team of researchers at Georgia State University has made a groundbreaking discovery in understanding schizophrenia using fMRI scans. They identified unique spatial variation and enhanced sensitivity in the brains of patients with schizophrenia, offering an alternative way to identify early signs of the disorder.
Researchers introduce persistence barcodes, a tool that reduces diagnostic bias and uncovers subtle details in medical images. The method preserves key structural details, enabling clearer insights into the data.
Researchers have developed a deep-learning-powered metalens imaging system that overcomes limitations of traditional metalenses. The system pairs a mass-produced metalens with an image restoration framework driven by AI to achieve aberration-free, full-color images while maintaining compact form factor.
Researchers developed an AI-powered model called FastGlioma that can detect residual tumor tissue with high accuracy in 10 seconds. The technology outperformed conventional methods, reducing the risk of missed tumors by nearly 75%. This innovation could change the field of neurosurgery and minimize reliance on radiographic imaging.
Researchers developed a new imaging technique using fluorescence-guided surgery to enhance visibility of tumors and nerves during head and neck cancer surgery. The technique uses two near-infrared fluorophores, one for tumors and another for facial nerves, allowing for clear differentiation between cancerous tissues and nerves.
The DEEPscope microscope combines two-photon and three-photon microscopy techniques to capture large-scale neural activity and structural details. Researchers achieved single-cell resolution imaging across extensive brain regions, observing over 4,500 neurons in deep cortical layers of transgenic mice.
Researchers at Radboud University Medical Center found that an extra year of education does not protect against brain aging and has no effect on brain structure. Despite positive correlations between education and cognitive benefits, the study suggests caution in assigning causation when only correlation is observed.
Researchers at the University of Texas at Dallas are using a 7-Tesla MRI machine to study brain structure, function, and cognition across time. The team aims to identify biomarkers for healthy or pathological aging, shedding light on individual differences in brain aging.
Research reveals the structural features of beta cell primary cilia, including microtubule organization and interactions with neighboring cells. The findings suggest that primary cilia play a crucial role in signal transmission and networking of beta cells with other islet cells, potentially linking to type 2 diabetes pathogenesis.
The new center will advance multiple areas of active research on campus, including neurocognitive sciences and musculo-skeletal health. With support from across campus, UTA aims to improve research capabilities to enhance undergraduate and graduate educational opportunities.
A Virginia Tech-led team is searching for signs of dark matter in billion-year-old rocks. By analyzing crystal lattice structures, they aim to uncover miniature trails of destruction left by long-ago dark matter interactions.
Researchers develop transcranial ultrasound stimulation (TUS) as a non-invasive therapy for brain-related issues, with potential for personalized treatments. A 'search and rescue tool' for the brain, TUS enables precise targeting of specific areas before treatment.
Compressed Ultra-Compact Femtosecond Photography (CUF) uses a super-dispersive metalens to capture transient events in a single image, overcoming conventional CUP technology's limitations. The system achieves ultrafast imaging at hundreds of trillions of frames per second with improved compactness and reliability.
A new Concordia study reveals that bilingualism is associated with larger and healthier hippocampi in patients with Alzheimer’s disease. The research found no evidence of hippocampal atrophy in bilinguals across the continuum of Alzheimer’s development.
A team of researchers at Penn State College of Medicine has developed a high-resolution 3D atlas of the developing mouse brain, providing a comprehensive view of brain development and structure. The atlas, published in Nature Communications, will help researchers understand neurodevelopmental disorders and analyze large-scale data sets.
Researchers identified 254 genetic variants that shape key brain structures, including those controlling memory, motor skills, and addictive behaviors. The study provides a roadmap for understanding the genetic basis of brain-related disorders like Parkinson's disease and ADHD.
Researchers at MIT have developed a new expansion technique to image nanoscale structures inside cells using conventional light microscopes. The method, which expands tissue 20-fold in a single step, allows for high-resolution imaging of organelles and protein clusters.
Researchers found lower neuron density in regions of the cerebral cortex responsible for tasks like memory, learning, and problem-solving in children with autism. In contrast, other brain regions like the amygdala showed increased neuron density, suggesting unique promise in characterizing individuals with autism.
A longitudinal study tracked one person's brain activity for five months, revealing how daily life affects brain function. The research found that physical activity positively influences brain regions, while subtle shifts in mood and heart rate leave lasting imprints for up to fifteen days.
A new study has definitively revealed the presence of an efficient waste-clearance system within the human brain, showing that cerebrospinal fluid flows through specific pathways to clear metabolic wastes generated by brain energy. Lifestyle measures and medications can maintain and enhance this system.
Researchers reconstructed the entire anterior visual pathway of a fruit fly, a complex series of connections between eyes and brain navigation center. This insight contributes to understanding intricacies of animal brains and ultimately human brain wiring.
Recent advances in Brain Network Models (BNMs) have improved simulations of brain activities, understanding neuropathological mechanisms, and predicting disease progression. BNMs integrate structural and functional connectivity data to analyze abnormal network dynamics.
University of Rochester researchers have refined a noninvasive method called BL-OG that harnesses light to activate neurons in the brain. The technique has the potential to transform invasive procedures used to treat Parkinson's disease and other neurological conditions by providing a safer, less invasive alternative.
Researchers from the FlyWire Consortium have created a detailed wiring diagram of every neuron in the adult fly brain, revealing substantial similarities between individual brains. The map includes 50 million connections between neurons, providing insights into neural circuits and their functions.
A Princeton-led research team has built the first neuron-by-neuron and synapse-by-synapse roadmap through the brain of an adult fruit fly. The map reveals connections within the brain at every scale, enabling researchers to better understand its underlying logic and potentially develop tailored treatments for brain diseases.
A study by Osaka Metropolitan University found that ChatGPT's diagnostic performance for brain tumors was comparable to that of neuroradiologists, with an accuracy rate of 73%. The model's performance varied depending on the type of clinical report written, with higher accuracy when using reports from neuroradiologist writers.
A new study by Sylvester Comprehensive Cancer Center researchers shows that daily MRI imaging paired with radiation can monitor tumor changes in real-time. The technology has the potential to signal early warning signs of tumor growth, allowing for faster and more targeted treatment adaptations.
A new study published in the Journal of the American College of Cardiology found that subclinical atherosclerosis is independently associated with the risk of dying from any cause. The study also showed that monitoring the progression of atherosclerosis can improve the prediction and prevention of death from any cause.
A University of Sydney-led study found multiple surgeries contribute to memory and brain health issues in older adults, with physical differences observed in brain areas responsible for memory. Cognitive decline is noticeable with each additional surgery.
Researchers have developed a new biosensor that can detect different physiological signals and brightly illuminate them in far-red light. The sensor, called WHaloCaMP, was created by Helen Farrants after she successfully re-developed an earlier version of the protein biosensors to carry out their original intention.
Researchers developed a shape-morphing cortex-adhesive sensor to monitor brain activity during tFUS stimulation, enabling real-time adjustments and suppressing seizures. The innovative device overcomes challenges in existing cortex-interfacing devices, providing stable and accurate monitoring.
A new study found that amyloid-beta and tau proteins affect brain activity differently, with increased levels leading to hyperactivity and decreased levels resulting in hypoactivity. Participants with higher rates of this brain slowing showed greater cognitive decline in attention and memory.
A new Northwestern Medicine study identifies critical language connector sites in the cerebral cortex that work together to produce language. These sites serve as connectors between subnetworks of people, serving a similar function for language in the brain.
Researchers have successfully visualized and tracked specific cells in deep brain tissue, including along the corpus callosum's nerve fibre highway. This advancement could potentially lead to better diagnostic tools for glioblastoma, a deadly brain cancer.
A breakthrough technology allows for touchless infrared imaging to monitor changes in pupil size and gaze direction behind closed eyes. This innovation can help identify wakefulness, awareness, and pain in sleep, anesthesia, and intensive care, enabling more accurate clinical decision-making.
The study compares nerve fiber orientation captured with specialized MRI and OCT approaches, laying groundwork for combining these imaging techniques. The findings show strong potential for PS-OCT to validate dMRI data, providing valuable insights about the microstructural organization of nerve fibers.
A new library of healthy participants' neuroimaging data has been created to aid in the diagnosis and treatment of traumatic brain injury (TBI). The Normative Neuroimaging Library consists of data from approximately 1900 individuals, providing a comprehensive dataset for clinicians and researchers.
A team led by Weiying Lin created a molecular probe that selectively detects serotonin, a key player in depression. The study suggests that the ability of neurons to release serotonin is more critical than serotonin levels themselves.
A novel approach to overcome limitations of traditional methods, NeuPh uses local conditional neural fields to reconstruct high-resolution phase information from low-resolution measurements. It provides robust resolution enhancement and outperforms existing models in accuracy.
A new study reveals that more than half of strokes causing ataxia are located outside the cerebellum but affect a specific brain network. This discovery changes our understanding of ataxia's neural mechanisms and may lead to safer treatments for patients.